{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# **Ensemble Techniques Project - EasyVisa**"
      ],
      "metadata": {
        "id": "2sYhk85skOm6"
      },
      "id": "2sYhk85skOm6"
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Student: Alexey Tyurin\n",
        "- Group: Oct'22 C Sun - MLS Grp B\n",
        "- Batch: PGP-DSBA-UTA-OCT22-C\n",
        "- Date: 4/2/2023-4/14/2023"
      ],
      "metadata": {
        "id": "OdRDcq1ukFee"
      },
      "id": "OdRDcq1ukFee"
    },
    {
      "cell_type": "markdown",
      "id": "AT5OogJVFbwu",
      "metadata": {
        "id": "AT5OogJVFbwu"
      },
      "source": [
        "## Context:\n",
        "\n",
        "Business communities in the United States are facing high demand for human resources, but one of the constant challenges is identifying and attracting the right talent, which is perhaps the most important element in remaining competitive. Companies in the United States look for hard-working, talented, and qualified individuals both locally as well as abroad.\n",
        "\n",
        "The Immigration and Nationality Act (INA) of the US permits foreign workers to come to the United States to work on either a temporary or permanent basis. The act also protects US workers against adverse impacts on their wages or working conditions by ensuring US employers' compliance with statutory requirements when they hire foreign workers to fill workforce shortages. The immigration programs are administered by the Office of Foreign Labor Certification (OFLC).\n",
        "\n",
        "OFLC processes job certification applications for employers seeking to bring foreign workers into the United States and grants certifications in those cases where employers can demonstrate that there are not sufficient US workers available to perform the work at wages that meet or exceed the wage paid for the occupation in the area of intended employment."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Objective:\n",
        "\n",
        "In FY 2016, the OFLC processed 775,979 employer applications for 1,699,957 positions for temporary and permanent labor certifications. This was a nine percent increase in the overall number of processed applications from the previous year. The process of reviewing every case is becoming a tedious task as the number of applicants is increasing every year.\n",
        "\n",
        "The increasing number of applicants every year calls for a Machine Learning based solution that can help in shortlisting the candidates having higher chances of VISA approval. OFLC has hired your firm EasyVisa for data-driven solutions. You as a data scientist have to analyze the data provided and, with the help of a classification model:\n",
        "\n",
        "* Facilitate the process of visa approvals.\n",
        "* Recommend a suitable profile for the applicants for whom the visa should be certified or denied based on the drivers that significantly influence the case status."
      ],
      "metadata": {
        "id": "GtVdX3obl_2N"
      },
      "id": "GtVdX3obl_2N"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Data Description\n",
        "\n",
        "The data contains the different attributes of the employee and the employer. The detailed data dictionary is given below.\n",
        "\n",
        "* `case_id`: ID of each visa application\n",
        "* `continent`: Information of continent the employee\n",
        "* `education_of_employee`: Information of education of the employee\n",
        "* `has_job_experience`: Does the employee has any job experience? Y= Yes; N = No\n",
        "* `requires_job_training`: Does the employee require any job training? Y = Yes; N = No \n",
        "* `no_of_employees`: Number of employees in the employer's company\n",
        "* `yr_of_estab`: Year in which the employer's company was established\n",
        "* `region_of_employment`: Information of foreign worker's intended region of employment in the US.\n",
        "* `prevailing_wage`:  Average wage paid to similarly employed workers in a specific occupation in the area of intended employment. The purpose of the prevailing wage is to ensure that the foreign worker is not underpaid compared to other workers offering the same or similar service in the same area of employment. \n",
        "* `unit_of_wage`: Unit of prevailing wage. Values include Hourly, Weekly, Monthly, and Yearly.\n",
        "* `full_time_position`: Is the position of work full-time? Y = Full Time Position; N = Part Time Position\n",
        "* `case_status`:  Flag indicating if the Visa was certified or denied"
      ],
      "metadata": {
        "id": "ka4Tzhncl__r"
      },
      "id": "ka4Tzhncl__r"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Importing necessary libraries and data"
      ],
      "metadata": {
        "id": "9RwNUc8wo4ZK"
      },
      "id": "9RwNUc8wo4ZK"
    },
    {
      "cell_type": "markdown",
      "id": "dirty-island",
      "metadata": {
        "id": "dirty-island"
      },
      "source": [
        "### Importing necessary libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "statewide-still",
      "metadata": {
        "id": "statewide-still"
      },
      "outputs": [],
      "source": [
        "# Libraries to help with reading and manipulating data\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "# libaries to help with data visualization\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Library to split data\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.tree import DecisionTreeClassifier, export_text \n",
        "from sklearn import tree\n",
        "\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.ensemble import BaggingClassifier\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.ensemble import (GradientBoostingClassifier,\n",
        "                              AdaBoostClassifier,\n",
        "                              StackingClassifier)\n",
        "from xgboost import XGBClassifier\n",
        "from sklearn.model_selection import GridSearchCV\n",
        "\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.preprocessing import Normalizer\n",
        "\n",
        "#from sklearn import metrics\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.metrics import (accuracy_score,\n",
        "                             precision_score,\n",
        "                             recall_score,\n",
        "                             f1_score,\n",
        "                             roc_auc_score)\n",
        "from sklearn.utils.class_weight import compute_class_weight\n",
        "\n",
        "import scipy.stats as stats\n",
        "import statsmodels.api as sm\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Reading the dataset"
      ],
      "metadata": {
        "id": "N2r0lJr6n0Nc"
      },
      "id": "N2r0lJr6n0Nc"
    },
    {
      "cell_type": "code",
      "source": [
        "data=pd.read_csv('EasyVisa.csv')"
      ],
      "metadata": {
        "id": "hhHGBE_bnsaw"
      },
      "id": "hhHGBE_bnsaw",
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# copying data to another varaible to avoid any changes to original data\n",
        "df = data.copy()"
      ],
      "metadata": {
        "id": "lApH8HIhoGbP"
      },
      "id": "lApH8HIhoGbP",
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## User-defined functions"
      ],
      "metadata": {
        "id": "woVqoBjwZ-_f"
      },
      "id": "woVqoBjwZ-_f"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Combined boxplot and histogram"
      ],
      "metadata": {
        "id": "dBmTd9BEaDuK"
      },
      "id": "dBmTd9BEaDuK"
    },
    {
      "cell_type": "code",
      "source": [
        "# functiom to create combined boxplot and histogram\n",
        "def histogram_boxplot(data, feature, figsize=(10, 5), fmt='{:.1f}', rotation=0,\n",
        "                      title=None, kde=True, bins=None, step=None, xlabel=None):\n",
        "    x = data[feature]\n",
        "    colors = sns.color_palette(\"Spectral\")\n",
        "    title = title if title else f'Distribution for `{feature}` column'\n",
        "\n",
        "    x_min, x_max = x.min(), x.max()\n",
        "\n",
        "    if (bins == None) & (step == None):\n",
        "        bins = int(3 * np.log(x.nunique())) + 2\n",
        "    elif bins == None:\n",
        "        x_min = step * round(x_min / step, 0)\n",
        "        x_max = step * round(x_max / step, 0) + step\n",
        "        bins = int((x_max - x_min) / step)\n",
        "\n",
        "    bw = (x_max - x_min) / bins\n",
        "\n",
        "    fig, ax = plt.subplots(nrows=2, ncols=1, sharex=True, figsize=figsize,\n",
        "                           gridspec_kw={\"height_ratios\": (0.3, 0.7)})\n",
        "\n",
        "    plt.suptitle(title, fontsize=16)\n",
        "    box = sns.boxplot(data=data, x=feature, ax=ax[0], showmeans=True, color=colors[1])\n",
        "    hist = sns.histplot(data=data, x=feature, kde=kde, ax=ax[1], color=colors[4], bins=bins)\n",
        "\n",
        "    ax[0].set_xlabel('')\n",
        "    ax[1].axvline(x.median(), color=\"grey\", linestyle=\"-\")\n",
        "    ax[1].axvline(x.mean(), color=\"darkgreen\", linestyle=\"--\")\n",
        "    ax[1].set_ylabel('Number of cases', fontsize=12)\n",
        "    if xlabel: ax[1].set_xlabel(xlabel, fontsize=12)\n",
        "\n",
        "    labels = [fmt.format(x) for x in np.arange(x_min, x_max, bw)]\n",
        "    ticks =  [x+bw/2 for x in np.arange(x_min, x_max, bw)]\n",
        "\n",
        "    ax[1].set_xticks(ticks)\n",
        "    ax[1].set_xticklabels(labels, rotation=rotation)\n",
        "\n",
        "    plt.show();"
      ],
      "metadata": {
        "id": "6AHeWkXxaHH0"
      },
      "id": "6AHeWkXxaHH0",
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Labeled barplots"
      ],
      "metadata": {
        "id": "OoWFEEycaMfb"
      },
      "id": "OoWFEEycaMfb"
    },
    {
      "cell_type": "code",
      "source": [
        "# function to create labeled barplots\n",
        "def labeled_barplot(data, feature, perc=False, n=None, percfmt=\"{:.1f}%\", rnd=0,\n",
        "                    figsize=(10, 5), xlabel=None, xlo=0, title=None, sort=True, \n",
        "                    orient='h'):\n",
        "    \"\"\"\n",
        "    Barplot with percentage at the top\n",
        "\n",
        "    data: dataframe\n",
        "    perc: whether to display percentages instead of count (default is False)\n",
        "    n: displays the top n category levels (default is None, i.e., display all levels)\n",
        "    figsize: size of figure (default (10, 5))\n",
        "    xlabel: label for x axis\n",
        "    \"\"\"\n",
        "\n",
        "    fig, ax = plt.subplots(figsize=figsize)\n",
        "    plt.xticks(rotation=xlo, fontsize=14)\n",
        "    if orient == 'h':\n",
        "      sns.countplot(data=data, x=feature, palette=\"Paired\",\n",
        "                    order=data[feature].value_counts().index[:n] if sort else None)\n",
        "    else:\n",
        "      sns.countplot(data=data, y=feature, palette=\"Paired\",\n",
        "                    order=data[feature].value_counts().index[:n] if sort else None)\n",
        "\n",
        "    # draw lables\n",
        "    for p in ax.patches:\n",
        "      if orient == 'h':\n",
        "        if perc == True:\n",
        "          label = percfmt.format(100 * p.get_height() / data.shape[0])\n",
        "        else:\n",
        "          label = p.get_height()\n",
        "        ax.annotate(label, (p.get_x() + p.get_width() / 2, p.get_height()),\n",
        "                    ha=\"center\", va=\"center\", size=11, xytext=(0, 5),\n",
        "                    textcoords=\"offset points\")\n",
        "        ax.set_ylabel('Number of cases', fontsize=14)\n",
        "        if xlabel: ax.set_xlabel(xlabel, fontsize=14)\n",
        "      else:\n",
        "        if perc == True:\n",
        "          label = percfmt.format(100 * p.get_width() / data.shape[0])\n",
        "        else:\n",
        "          label = p.get_width()\n",
        "        ax.annotate(label, (p.get_width(), p.get_y() + p.get_height() / 2),\n",
        "                    ha=\"center\", va=\"center\", size=11, xytext=(20, 0),\n",
        "                    textcoords=\"offset points\")\n",
        "        ax.set_xlabel('Number of cases', fontsize=14)\n",
        "        if xlabel: ax.set_ylabel(xlabel, fontsize=14)\n",
        "\n",
        "    if title: plt.title(title, fontsize=16)\n",
        "    else: plt.title(f'Distribution for `{feature}` column', fontsize=16)\n",
        "\n",
        "    plt.show()"
      ],
      "metadata": {
        "id": "2RFT_NDUaNU8"
      },
      "id": "2RFT_NDUaNU8",
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Stacked barplot"
      ],
      "metadata": {
        "id": "Bbo4K2CraRdx"
      },
      "id": "Bbo4K2CraRdx"
    },
    {
      "cell_type": "code",
      "source": [
        "def stacked_barplot(data, predictor, target, rotation=0):\n",
        "    \"\"\"\n",
        "    Print the category counts and plot a stacked bar chart\n",
        "\n",
        "    data: dataframe\n",
        "    predictor: independent variable\n",
        "    target: target variable\n",
        "    \"\"\"\n",
        "    count = data[predictor].nunique()\n",
        "    sorter = data[target].value_counts().index[-1]\n",
        "    tab1 = pd.crosstab(data[predictor], data[target], margins=True).sort_values(\n",
        "        by=sorter, ascending=False\n",
        "    )\n",
        "    print(tab1)\n",
        "    print(\"-\" * 120)\n",
        "    tab = pd.crosstab(data[predictor], data[target], normalize=\"index\").sort_values(\n",
        "        by=sorter, ascending=False\n",
        "    )\n",
        "    ax = tab.plot(kind=\"bar\", stacked=True, figsize=(count + 5, 5))\n",
        "    ax.set_xticklabels(ax.get_xticklabels(),rotation=rotation)\n",
        "    plt.legend(loc=\"upper left\", bbox_to_anchor=(1, 1))\n",
        "    plt.show()"
      ],
      "metadata": {
        "id": "ZaMGWIEkaRnp"
      },
      "id": "ZaMGWIEkaRnp",
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Distributions wrt target"
      ],
      "metadata": {
        "id": "o0Ac0M-waX5j"
      },
      "id": "o0Ac0M-waX5j"
    },
    {
      "cell_type": "code",
      "source": [
        "def distribution_plot_wrt_target(data, predictor, target):\n",
        "\n",
        "    fig, axs = plt.subplots(2, 2, figsize=(12, 10))\n",
        "\n",
        "    target_uniq = data[target].unique()\n",
        "\n",
        "    axs[0, 0].set_title(\"Distribution of target for target=\" + str(target_uniq[0]))\n",
        "    sns.histplot(\n",
        "        data=data[data[target] == target_uniq[0]],\n",
        "        x=predictor,\n",
        "        kde=True,\n",
        "        ax=axs[0, 0],\n",
        "        color=\"teal\",\n",
        "        stat=\"density\",\n",
        "    )\n",
        "\n",
        "    axs[0, 1].set_title(\"Distribution of target for target=\" + str(target_uniq[1]))\n",
        "    sns.histplot(\n",
        "        data=data[data[target] == target_uniq[1]],\n",
        "        x=predictor,\n",
        "        kde=True,\n",
        "        ax=axs[0, 1],\n",
        "        color=\"orange\",\n",
        "        stat=\"density\",\n",
        "    )\n",
        "\n",
        "    axs[1, 0].set_title(\"Boxplot w.r.t target\")\n",
        "    sns.boxplot(data=data, x=target, y=predictor, ax=axs[1, 0], palette=\"gist_rainbow\")\n",
        "\n",
        "    axs[1, 1].set_title(\"Boxplot (without outliers) w.r.t target\")\n",
        "    sns.boxplot(\n",
        "        data=data,\n",
        "        x=target,\n",
        "        y=predictor,\n",
        "        ax=axs[1, 1],\n",
        "        showfliers=False,\n",
        "        palette=\"gist_rainbow\",\n",
        "    )\n",
        "\n",
        "    plt.tight_layout()\n",
        "    plt.show()"
      ],
      "metadata": {
        "id": "3iVpp1dwaYBz"
      },
      "id": "3iVpp1dwaYBz",
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Model Performance - compute different metrics and visualize results"
      ],
      "metadata": {
        "id": "1ebi6clp0pNu"
      },
      "id": "1ebi6clp0pNu"
    },
    {
      "cell_type": "code",
      "source": [
        "# Let's define function to provide metric scores (accuracy, recall, precision, etc.) \n",
        "# on train and test set and a function to show confusion matrix \n",
        "# so that we do not have use the same code repetitively while evaluating models.\n",
        "# defining a function to compute different metrics to check performance of \n",
        "# a classification model built using sklearn\n",
        "\n",
        "def specificity_score(y_true, y_pred):\n",
        "  tn, fp, fn, tp = confusion_matrix(y_true, y_pred).flatten()\n",
        "  return (tn)/(tn+fp)\n",
        "\n",
        "def npv_score(y_true, y_pred):\n",
        "  tn, fp, fn, tp = confusion_matrix(y_true, y_pred).flatten()\n",
        "  return (tn)/(tn+fn)\n",
        "\n",
        "def model_performance(model, X_train, y_train, X_test, y_test, verbose=True):\n",
        "  p_train = model.predict(X_train).astype(bool)\n",
        "  p_test = model.predict(X_test).astype(bool)\n",
        "  y_train = np.array(y_train).astype(bool)\n",
        "  y_test = np.array(y_test).astype(bool)\n",
        "\n",
        "  cm_train = confusion_matrix(y_train, p_train)\n",
        "  cm_test = confusion_matrix(y_test, p_test)\n",
        "  lab_train = np.asarray([[\"{0:,.0f}\".format(item) + \n",
        "                           \"\\n{0:.2%}\".format(item / cm_train.flatten().sum())] \n",
        "                          for item in cm_train.flatten()]).reshape(2, 2)\n",
        "  lab_test  = np.asarray([[\"{0:,.0f}\".format(item) + \n",
        "                           \"\\n{0:.2%}\".format(item / cm_test.flatten().sum())] \n",
        "                          for item in cm_test.flatten()]).reshape(2, 2)\n",
        "\n",
        "  df_perf = pd.DataFrame({'Accuracy':    [accuracy_score(y_train, p_train), \n",
        "                                          accuracy_score(y_test, p_test)],\n",
        "                          'Precision':   [precision_score(y_train, p_train), \n",
        "                                          precision_score(y_test, p_test)],\n",
        "                          'Recall':      [recall_score(y_train, p_train), \n",
        "                                          recall_score(y_test, p_test)],\n",
        "                          'NPV':         [npv_score(y_train, p_train), \n",
        "                                          npv_score(y_test, p_test)],\n",
        "                          'Specificity': [specificity_score(y_train, p_train), \n",
        "                                          specificity_score(y_test, p_test)],\n",
        "                          'F1':          [f1_score(y_train, p_train), \n",
        "                                          f1_score(y_test, p_test)]},\n",
        "                         index=['Train', 'Test'])\n",
        "\n",
        "  if verbose:\n",
        "    fig, ax = plt.subplots(ncols = 2, nrows = 1, figsize=(9, 3))\n",
        "\n",
        "    sns.heatmap(cm_train, annot=lab_train, fmt=\"\", ax=ax[0], annot_kws = {\"size\": 10})\n",
        "    sns.heatmap(cm_test, annot=lab_test, fmt=\"\", ax=ax[1], annot_kws = {\"size\": 10})\n",
        "    ax[0].set_title('Training dataset', fontsize=10)\n",
        "    ax[0].set_xlabel('Predicted label', fontsize=10)\n",
        "    ax[0].set_ylabel('True label', fontsize=10)\n",
        "    ax[1].set_title('Testing dataset', fontsize=10)\n",
        "    ax[1].set_xlabel('Predicted label', fontsize=10)\n",
        "    ax[1].set_ylabel('True label', fontsize=10)\n",
        "    plt.show();\n",
        "\n",
        "    display(df_perf.style.set_table_styles([dict(selector=\"th\", \n",
        "                                                 props=[('max-width', \n",
        "                                                         '75px')])]).format('{:.2%}'))\n",
        "  \n",
        "  return df_perf"
      ],
      "metadata": {
        "id": "2EEFQs4P0tYo"
      },
      "id": "2EEFQs4P0tYo",
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "id": "desperate-infection",
      "metadata": {
        "id": "desperate-infection"
      },
      "source": [
        "## Data Overview\n",
        "\n",
        "- [x] Observations\n",
        "- [x] Sanity checks"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### View the first and last 5 rows of the dataset"
      ],
      "metadata": {
        "id": "so4Ij8Q0or4j"
      },
      "id": "so4Ij8Q0or4j"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "persistent-juice",
      "metadata": {
        "id": "persistent-juice",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "db51f2dc-7c3d-4192-c3b2-790f6e57b3df"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  case_id continent education_of_employee has_job_experience  \\\n",
              "0  EZYV01      Asia           High School                  N   \n",
              "1  EZYV02      Asia              Master's                  Y   \n",
              "2  EZYV03      Asia            Bachelor's                  N   \n",
              "3  EZYV04      Asia            Bachelor's                  N   \n",
              "4  EZYV05    Africa              Master's                  Y   \n",
              "\n",
              "  requires_job_training  no_of_employees  yr_of_estab region_of_employment  \\\n",
              "0                     N            14513         2007                 West   \n",
              "1                     N             2412         2002            Northeast   \n",
              "2                     Y            44444         2008                 West   \n",
              "3                     N               98         1897                 West   \n",
              "4                     N             1082         2005                South   \n",
              "\n",
              "   prevailing_wage unit_of_wage full_time_position case_status  \n",
              "0         592.2029         Hour                  Y      Denied  \n",
              "1       83425.6500         Year                  Y   Certified  \n",
              "2      122996.8600         Year                  Y      Denied  \n",
              "3       83434.0300         Year                  Y      Denied  \n",
              "4      149907.3900         Year                  Y   Certified  "
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              "      <th>0</th>\n",
              "      <td>EZYV01</td>\n",
              "      <td>Asia</td>\n",
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              "      <th>1</th>\n",
              "      <td>EZYV02</td>\n",
              "      <td>Asia</td>\n",
              "      <td>Master's</td>\n",
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              "      <td>Asia</td>\n",
              "      <td>Bachelor's</td>\n",
              "      <td>N</td>\n",
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              "      <th>3</th>\n",
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              "      <td>N</td>\n",
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              "    <tr>\n",
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              "      <td>EZYV05</td>\n",
              "      <td>Africa</td>\n",
              "      <td>Master's</td>\n",
              "      <td>Y</td>\n",
              "      <td>N</td>\n",
              "      <td>1082</td>\n",
              "      <td>2005</td>\n",
              "      <td>South</td>\n",
              "      <td>149907.3900</td>\n",
              "      <td>Year</td>\n",
              "      <td>Y</td>\n",
              "      <td>Certified</td>\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "e8heokSxpGrI",
        "outputId": "3d14e46c-932b-4ee5-da3a-c4ffafaf24a3"
      },
      "id": "e8heokSxpGrI",
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         case_id continent education_of_employee has_job_experience  \\\n",
              "25475  EZYV25476      Asia            Bachelor's                  Y   \n",
              "25476  EZYV25477      Asia           High School                  Y   \n",
              "25477  EZYV25478      Asia              Master's                  Y   \n",
              "25478  EZYV25479      Asia              Master's                  Y   \n",
              "25479  EZYV25480      Asia            Bachelor's                  Y   \n",
              "\n",
              "      requires_job_training  no_of_employees  yr_of_estab  \\\n",
              "25475                     Y             2601         2008   \n",
              "25476                     N             3274         2006   \n",
              "25477                     N             1121         1910   \n",
              "25478                     Y             1918         1887   \n",
              "25479                     N             3195         1960   \n",
              "\n",
              "      region_of_employment  prevailing_wage unit_of_wage full_time_position  \\\n",
              "25475                South         77092.57         Year                  Y   \n",
              "25476            Northeast        279174.79         Year                  Y   \n",
              "25477                South        146298.85         Year                  N   \n",
              "25478                 West         86154.77         Year                  Y   \n",
              "25479              Midwest         70876.91         Year                  Y   \n",
              "\n",
              "      case_status  \n",
              "25475   Certified  \n",
              "25476   Certified  \n",
              "25477   Certified  \n",
              "25478   Certified  \n",
              "25479   Certified  "
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              "      <td>1960</td>\n",
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              "      <td>Year</td>\n",
              "      <td>Y</td>\n",
              "      <td>Certified</td>\n",
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              "\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Understand the shape of the dataset"
      ],
      "metadata": {
        "id": "vEmOPYQ4pNQt"
      },
      "id": "vEmOPYQ4pNQt"
    },
    {
      "cell_type": "code",
      "source": [
        "df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h09nTo0-pNYl",
        "outputId": "a44b67f3-ad32-4b51-ed18-5205ead8fa7b"
      },
      "id": "h09nTo0-pNYl",
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(25480, 12)"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* The dataset has 25480 rows and 12 columns of data"
      ],
      "metadata": {
        "id": "_MNiyGunpQ2X"
      },
      "id": "_MNiyGunpQ2X"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Check the data types of the columns for the dataset"
      ],
      "metadata": {
        "id": "VN3el3PRpb79"
      },
      "id": "VN3el3PRpb79"
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a5oWKpempcE1",
        "outputId": "895f045a-515e-446c-a151-67179fbd965e"
      },
      "id": "a5oWKpempcE1",
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 25480 entries, 0 to 25479\n",
            "Data columns (total 12 columns):\n",
            " #   Column                 Non-Null Count  Dtype  \n",
            "---  ------                 --------------  -----  \n",
            " 0   case_id                25480 non-null  object \n",
            " 1   continent              25480 non-null  object \n",
            " 2   education_of_employee  25480 non-null  object \n",
            " 3   has_job_experience     25480 non-null  object \n",
            " 4   requires_job_training  25480 non-null  object \n",
            " 5   no_of_employees        25480 non-null  int64  \n",
            " 6   yr_of_estab            25480 non-null  int64  \n",
            " 7   region_of_employment   25480 non-null  object \n",
            " 8   prevailing_wage        25480 non-null  float64\n",
            " 9   unit_of_wage           25480 non-null  object \n",
            " 10  full_time_position     25480 non-null  object \n",
            " 11  case_status            25480 non-null  object \n",
            "dtypes: float64(1), int64(2), object(9)\n",
            "memory usage: 2.3+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Observations:**\n",
        "* There are no null values in the dataset\n",
        "* There are 3 numeric (1 float and 2 int types) and 9 string (object type) columns in the dataset\n",
        "* We can convert the object type columns to categories$^1$\n",
        "* The target variable is the `case_status` which is of object type\n",
        "\n",
        "$^1$ *converting `objects` to `category` reduces the data space required to store the dataframe*"
      ],
      "metadata": {
        "id": "Jnd1f04Vpcc1"
      },
      "id": "Jnd1f04Vpcc1"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Checking for missing values"
      ],
      "metadata": {
        "id": "ahSARoEIt2sF"
      },
      "id": "ahSARoEIt2sF"
    },
    {
      "cell_type": "code",
      "source": [
        "df.isna().sum().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bUpTfdsisQeQ",
        "outputId": "ea95d1c9-7a90-4afc-b033-dc31e0375c6b"
      },
      "id": "bUpTfdsisQeQ",
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* There are no missing (Null, NA) values in the dataset."
      ],
      "metadata": {
        "id": "awPshW-Wt7rE"
      },
      "id": "awPshW-Wt7rE"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Сhecking the duplicate values"
      ],
      "metadata": {
        "id": "FAzIOhsBuBTV"
      },
      "id": "FAzIOhsBuBTV"
    },
    {
      "cell_type": "code",
      "source": [
        "df.duplicated().sum()\n",
        "0"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rtrbZlDVsQhI",
        "outputId": "22c128a9-ad92-4cb9-d61c-a404fd16ea08"
      },
      "id": "rtrbZlDVsQhI",
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* There are no duplicate values in the dataset"
      ],
      "metadata": {
        "id": "UG6VC7EsuIDP"
      },
      "id": "UG6VC7EsuIDP"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Statistical summary of the dataset"
      ],
      "metadata": {
        "id": "9T7xAjHmuKX6"
      },
      "id": "9T7xAjHmuKX6"
    },
    {
      "cell_type": "code",
      "source": [
        "# Let's check the statistical summary of the data\n",
        "df.describe().T"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "C3KkhBYssQj2",
        "outputId": "8c24b344-84eb-45fb-bbda-d9cfc5026712"
      },
      "id": "C3KkhBYssQj2",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                   count          mean           std        min       25%  \\\n",
              "no_of_employees  25480.0   5667.043210  22877.928848   -26.0000   1022.00   \n",
              "yr_of_estab      25480.0   1979.409929     42.366929  1800.0000   1976.00   \n",
              "prevailing_wage  25480.0  74455.814592  52815.942327     2.1367  34015.48   \n",
              "\n",
              "                      50%          75%        max  \n",
              "no_of_employees   2109.00    3504.0000  602069.00  \n",
              "yr_of_estab       1997.00    2005.0000    2016.00  \n",
              "prevailing_wage  70308.21  107735.5125  319210.27  "
            ],
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        "df.describe(include='object').T"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 331
        },
        "id": "LApX8SOssQm2",
        "outputId": "f2d659f6-cea4-4236-e3f1-0c9089e48dee"
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      "id": "LApX8SOssQm2",
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       count unique         top   freq\n",
              "case_id                25480  25480      EZYV01      1\n",
              "continent              25480      6        Asia  16861\n",
              "education_of_employee  25480      4  Bachelor's  10234\n",
              "has_job_experience     25480      2           Y  14802\n",
              "requires_job_training  25480      2           N  22525\n",
              "region_of_employment   25480      5   Northeast   7195\n",
              "unit_of_wage           25480      4        Year  22962\n",
              "full_time_position     25480      2           Y  22773\n",
              "case_status            25480      2   Certified  17018"
            ],
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              "      <td>25480</td>\n",
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              "      <td>Asia</td>\n",
              "      <td>16861</td>\n",
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              "    <tr>\n",
              "      <th>education_of_employee</th>\n",
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              "      <td>4</td>\n",
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              "      <td>25480</td>\n",
              "      <td>2</td>\n",
              "      <td>N</td>\n",
              "      <td>22525</td>\n",
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              "      <td>25480</td>\n",
              "      <td>5</td>\n",
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              "      <td>7195</td>\n",
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              "    <tr>\n",
              "      <th>unit_of_wage</th>\n",
              "      <td>25480</td>\n",
              "      <td>4</td>\n",
              "      <td>Year</td>\n",
              "      <td>22962</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>full_time_position</th>\n",
              "      <td>25480</td>\n",
              "      <td>2</td>\n",
              "      <td>Y</td>\n",
              "      <td>22773</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>case_status</th>\n",
              "      <td>25480</td>\n",
              "      <td>2</td>\n",
              "      <td>Certified</td>\n",
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              "\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-72a6278c-c566-45cc-8f82-757375168602');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Let's look at the unique values of all the categories"
      ],
      "metadata": {
        "id": "O8gEZ7-F2hYV"
      },
      "id": "O8gEZ7-F2hYV"
    },
    {
      "cell_type": "code",
      "source": [
        "cols_cat = df.select_dtypes(['object'])\n",
        "cols_cat.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lpmz-bEI2dK5",
        "outputId": "710df5d1-7529-4471-e054-c26a7bfaee07"
      },
      "id": "lpmz-bEI2dK5",
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['case_id', 'continent', 'education_of_employee', 'has_job_experience',\n",
              "       'requires_job_training', 'region_of_employment', 'unit_of_wage',\n",
              "       'full_time_position', 'case_status'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for col in cols_cat.columns[1:]:\n",
        "    print(f'Unique values in `{col}` are :')\n",
        "    display(pd.DataFrame(data=[df[col].value_counts(), df[col].value_counts(normalize=True)],\n",
        "                         index=['count', 'share']).T.style.format({'count': '{:,.0f}', 'share': '{:.0%}'}))\n",
        "    print('*'*50)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "soL5AykI2oq6",
        "outputId": "bca5c78d-b035-4b9f-944e-0db683d7793d"
      },
      "id": "soL5AykI2oq6",
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Unique values in `continent` are :\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd6916dbc40>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_75826\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_75826_level0_col0\" class=\"col_heading level0 col0\" >count</th>\n",
              "      <th id=\"T_75826_level0_col1\" class=\"col_heading level0 col1\" >share</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_75826_level0_row0\" class=\"row_heading level0 row0\" >Asia</th>\n",
              "      <td id=\"T_75826_row0_col0\" class=\"data row0 col0\" >16,861</td>\n",
              "      <td id=\"T_75826_row0_col1\" class=\"data row0 col1\" >66%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_75826_level0_row1\" class=\"row_heading level0 row1\" >Europe</th>\n",
              "      <td id=\"T_75826_row1_col0\" class=\"data row1 col0\" >3,732</td>\n",
              "      <td id=\"T_75826_row1_col1\" class=\"data row1 col1\" >15%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_75826_level0_row2\" class=\"row_heading level0 row2\" >North America</th>\n",
              "      <td id=\"T_75826_row2_col0\" class=\"data row2 col0\" >3,292</td>\n",
              "      <td id=\"T_75826_row2_col1\" class=\"data row2 col1\" >13%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_75826_level0_row3\" class=\"row_heading level0 row3\" >South America</th>\n",
              "      <td id=\"T_75826_row3_col0\" class=\"data row3 col0\" >852</td>\n",
              "      <td id=\"T_75826_row3_col1\" class=\"data row3 col1\" >3%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_75826_level0_row4\" class=\"row_heading level0 row4\" >Africa</th>\n",
              "      <td id=\"T_75826_row4_col0\" class=\"data row4 col0\" >551</td>\n",
              "      <td id=\"T_75826_row4_col1\" class=\"data row4 col1\" >2%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_75826_level0_row5\" class=\"row_heading level0 row5\" >Oceania</th>\n",
              "      <td id=\"T_75826_row5_col0\" class=\"data row5 col0\" >192</td>\n",
              "      <td id=\"T_75826_row5_col1\" class=\"data row5 col1\" >1%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "**************************************************\n",
            "Unique values in `education_of_employee` are :\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd6916dba90>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_b07aa\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_b07aa_level0_col0\" class=\"col_heading level0 col0\" >count</th>\n",
              "      <th id=\"T_b07aa_level0_col1\" class=\"col_heading level0 col1\" >share</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_b07aa_level0_row0\" class=\"row_heading level0 row0\" >Bachelor's</th>\n",
              "      <td id=\"T_b07aa_row0_col0\" class=\"data row0 col0\" >10,234</td>\n",
              "      <td id=\"T_b07aa_row0_col1\" class=\"data row0 col1\" >40%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b07aa_level0_row1\" class=\"row_heading level0 row1\" >Master's</th>\n",
              "      <td id=\"T_b07aa_row1_col0\" class=\"data row1 col0\" >9,634</td>\n",
              "      <td id=\"T_b07aa_row1_col1\" class=\"data row1 col1\" >38%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b07aa_level0_row2\" class=\"row_heading level0 row2\" >High School</th>\n",
              "      <td id=\"T_b07aa_row2_col0\" class=\"data row2 col0\" >3,420</td>\n",
              "      <td id=\"T_b07aa_row2_col1\" class=\"data row2 col1\" >13%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b07aa_level0_row3\" class=\"row_heading level0 row3\" >Doctorate</th>\n",
              "      <td id=\"T_b07aa_row3_col0\" class=\"data row3 col0\" >2,192</td>\n",
              "      <td id=\"T_b07aa_row3_col1\" class=\"data row3 col1\" >9%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "**************************************************\n",
            "Unique values in `has_job_experience` are :\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd6916db880>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_92237\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_92237_level0_col0\" class=\"col_heading level0 col0\" >count</th>\n",
              "      <th id=\"T_92237_level0_col1\" class=\"col_heading level0 col1\" >share</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_92237_level0_row0\" class=\"row_heading level0 row0\" >Y</th>\n",
              "      <td id=\"T_92237_row0_col0\" class=\"data row0 col0\" >14,802</td>\n",
              "      <td id=\"T_92237_row0_col1\" class=\"data row0 col1\" >58%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_92237_level0_row1\" class=\"row_heading level0 row1\" >N</th>\n",
              "      <td id=\"T_92237_row1_col0\" class=\"data row1 col0\" >10,678</td>\n",
              "      <td id=\"T_92237_row1_col1\" class=\"data row1 col1\" >42%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "**************************************************\n",
            "Unique values in `requires_job_training` are :\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd6916db6d0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_ffb8c\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_ffb8c_level0_col0\" class=\"col_heading level0 col0\" >count</th>\n",
              "      <th id=\"T_ffb8c_level0_col1\" class=\"col_heading level0 col1\" >share</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_ffb8c_level0_row0\" class=\"row_heading level0 row0\" >N</th>\n",
              "      <td id=\"T_ffb8c_row0_col0\" class=\"data row0 col0\" >22,525</td>\n",
              "      <td id=\"T_ffb8c_row0_col1\" class=\"data row0 col1\" >88%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ffb8c_level0_row1\" class=\"row_heading level0 row1\" >Y</th>\n",
              "      <td id=\"T_ffb8c_row1_col0\" class=\"data row1 col0\" >2,955</td>\n",
              "      <td id=\"T_ffb8c_row1_col1\" class=\"data row1 col1\" >12%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "**************************************************\n",
            "Unique values in `region_of_employment` are :\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd6916db310>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_f42a8\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_f42a8_level0_col0\" class=\"col_heading level0 col0\" >count</th>\n",
              "      <th id=\"T_f42a8_level0_col1\" class=\"col_heading level0 col1\" >share</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_f42a8_level0_row0\" class=\"row_heading level0 row0\" >Northeast</th>\n",
              "      <td id=\"T_f42a8_row0_col0\" class=\"data row0 col0\" >7,195</td>\n",
              "      <td id=\"T_f42a8_row0_col1\" class=\"data row0 col1\" >28%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_f42a8_level0_row1\" class=\"row_heading level0 row1\" >South</th>\n",
              "      <td id=\"T_f42a8_row1_col0\" class=\"data row1 col0\" >7,017</td>\n",
              "      <td id=\"T_f42a8_row1_col1\" class=\"data row1 col1\" >28%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_f42a8_level0_row2\" class=\"row_heading level0 row2\" >West</th>\n",
              "      <td id=\"T_f42a8_row2_col0\" class=\"data row2 col0\" >6,586</td>\n",
              "      <td id=\"T_f42a8_row2_col1\" class=\"data row2 col1\" >26%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_f42a8_level0_row3\" class=\"row_heading level0 row3\" >Midwest</th>\n",
              "      <td id=\"T_f42a8_row3_col0\" class=\"data row3 col0\" >4,307</td>\n",
              "      <td id=\"T_f42a8_row3_col1\" class=\"data row3 col1\" >17%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_f42a8_level0_row4\" class=\"row_heading level0 row4\" >Island</th>\n",
              "      <td id=\"T_f42a8_row4_col0\" class=\"data row4 col0\" >375</td>\n",
              "      <td id=\"T_f42a8_row4_col1\" class=\"data row4 col1\" >1%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "**************************************************\n",
            "Unique values in `unit_of_wage` are :\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd6916db310>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_bcdd4\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_bcdd4_level0_col0\" class=\"col_heading level0 col0\" >count</th>\n",
              "      <th id=\"T_bcdd4_level0_col1\" class=\"col_heading level0 col1\" >share</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_bcdd4_level0_row0\" class=\"row_heading level0 row0\" >Year</th>\n",
              "      <td id=\"T_bcdd4_row0_col0\" class=\"data row0 col0\" >22,962</td>\n",
              "      <td id=\"T_bcdd4_row0_col1\" class=\"data row0 col1\" >90%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bcdd4_level0_row1\" class=\"row_heading level0 row1\" >Hour</th>\n",
              "      <td id=\"T_bcdd4_row1_col0\" class=\"data row1 col0\" >2,157</td>\n",
              "      <td id=\"T_bcdd4_row1_col1\" class=\"data row1 col1\" >8%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bcdd4_level0_row2\" class=\"row_heading level0 row2\" >Week</th>\n",
              "      <td id=\"T_bcdd4_row2_col0\" class=\"data row2 col0\" >272</td>\n",
              "      <td id=\"T_bcdd4_row2_col1\" class=\"data row2 col1\" >1%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bcdd4_level0_row3\" class=\"row_heading level0 row3\" >Month</th>\n",
              "      <td id=\"T_bcdd4_row3_col0\" class=\"data row3 col0\" >89</td>\n",
              "      <td id=\"T_bcdd4_row3_col1\" class=\"data row3 col1\" >0%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "**************************************************\n",
            "Unique values in `full_time_position` are :\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd6914eb460>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_d9e14\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_d9e14_level0_col0\" class=\"col_heading level0 col0\" >count</th>\n",
              "      <th id=\"T_d9e14_level0_col1\" class=\"col_heading level0 col1\" >share</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_d9e14_level0_row0\" class=\"row_heading level0 row0\" >Y</th>\n",
              "      <td id=\"T_d9e14_row0_col0\" class=\"data row0 col0\" >22,773</td>\n",
              "      <td id=\"T_d9e14_row0_col1\" class=\"data row0 col1\" >89%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d9e14_level0_row1\" class=\"row_heading level0 row1\" >N</th>\n",
              "      <td id=\"T_d9e14_row1_col0\" class=\"data row1 col0\" >2,707</td>\n",
              "      <td id=\"T_d9e14_row1_col1\" class=\"data row1 col1\" >11%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "**************************************************\n",
            "Unique values in `case_status` are :\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd6915a7df0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_63641\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_63641_level0_col0\" class=\"col_heading level0 col0\" >count</th>\n",
              "      <th id=\"T_63641_level0_col1\" class=\"col_heading level0 col1\" >share</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_63641_level0_row0\" class=\"row_heading level0 row0\" >Certified</th>\n",
              "      <td id=\"T_63641_row0_col0\" class=\"data row0 col0\" >17,018</td>\n",
              "      <td id=\"T_63641_row0_col1\" class=\"data row0 col1\" >67%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_63641_level0_row1\" class=\"row_heading level0 row1\" >Denied</th>\n",
              "      <td id=\"T_63641_row1_col0\" class=\"data row1 col0\" >8,462</td>\n",
              "      <td id=\"T_63641_row1_col1\" class=\"data row1 col1\" >33%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "**************************************************\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Observations:**\n",
        "* The `case_id` variable is a unique identifier and not suitable for predictive modeling.\n",
        "* Employee count (`no_of_employees`) ranges from -26 to 602,069, with an average of 5,667. Negative values appear to be incorrect.\n",
        "* Company establishment year (`yr_of_estab`) spans from 1800 to 2016, with a mean of 1979 and median of 1997.\n",
        "* Average wage (`prevailing_wage`) varies from 2 to 319,210, with a median of 70308. Wage numbers are in diverse units.\n",
        "* Unit of prevailing wage (`unit_of_wage`) values include Hourly, Weekly, Monthly, and Yearly.\n",
        "* Continent the employee (`continent`) variable is represented by six continents, with the maximum number of employees (16,861 or 66%) from Asia and the minimum number of employees from Oceania (192 or 1%).\n",
        "* Employee education (`education_of_employee`) variable is represented by four education levels, with the maximum number of employees (10,234 or 40%) with Bachelor's and the minimum number of employees with Doctorate (2,192 or 9%).\n",
        "* Job experience (`has_job_experience`) is a binary variable: Y= Yes; N = No. The majority of employees (14,802, 58%) have job experience.\n",
        "* Job training (`requires_job_training`) is a binary variable: Y= Yes; N = No.\n",
        "The majority of employees (22,525, 88%) do not require job training.\n",
        "* Full time (`full_time_position`): is a binary variable: Y= Yes; N = No\n",
        "The majority of employees (22,773, 89%) have full time position.\n",
        "* Region of employment (`region_of_employment`) variable is represented by five regions, with the maximum number of employees (7,195 or 28%) are in Northeast region and the minimum number of employees are in Island (375 or 1%).\n",
        "* The **`case_status`** is the target variable, indicating whether the Visa was certified or denied. The classes are imbalanced, with 17,018 (67%) cases being `Certified` and 8,462 (33%) cases `Denied`."
      ],
      "metadata": {
        "id": "hZ051Xo6w-vL"
      },
      "id": "hZ051Xo6w-vL"
    },
    {
      "cell_type": "markdown",
      "id": "seasonal-calibration",
      "metadata": {
        "id": "seasonal-calibration"
      },
      "source": [
        "## Exploratory Data Analysis (EDA)\n",
        "\n",
        "- EDA is an important part of any project involving data.\n",
        "- It is important to investigate and understand the data better before building a model with it.\n",
        "- Questions have been mentioned below which will help you approach the analysis in the right manner and generate insights from the data.\n",
        "- A thorough analysis of the data, in addition to the questions mentioned below, should be done."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Univariate Analysis"
      ],
      "metadata": {
        "id": "fPBVGS8aZt9v"
      },
      "id": "fPBVGS8aZt9v"
    },
    {
      "cell_type": "markdown",
      "source": [
        "`continent`"
      ],
      "metadata": {
        "id": "09sppmLja6Oc"
      },
      "id": "09sppmLja6Oc"
    },
    {
      "cell_type": "code",
      "source": [
        "labeled_barplot(data=df, feature='continent', orient='v', perc=True, title='Number of cases by continent');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "ATDZnr8TZd50",
        "outputId": "1d8f5c66-f895-4464-feb1-bb0e14399a66"
      },
      "id": "ATDZnr8TZd50",
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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rRYsWypMnj3X8LRaL5s2bl+yAUbhwYRUuXFiDBg2SMUabNm3SK6+8olWrVmnRokXWw2OTIjQ0VKGhoQnOtsa9drJnzx6v7vXXX9fUqVM1e/ZsDR8+3HqocHJmWaXk/37iXhc3btxQeHh4grOtqf0a+rel1/sTwLOBr7QA4Cnm4+Oj4cOHS5IGDx6caLu4D8LHjh2LV2eM0dq1a9Omg0+wePHiBMvj7j1ZuXJlOTn9/f1quXLlFBAQoKNHj+q333771/pYtmxZeXp66ubNm/ruu+/i1d+7d09Lly6V9Pe5vamhXr16kqQvvvhCd+7ceWL7mzdvSkr88MrExjkhGTJkUI8ePVS8eHHFxsbql19+kSRly5ZNxYsX1+3bt63n3KaUxWJRrVq19Morr0iSDh06lOx1JHQv3wcPHujLL7+U9H/nTz4sR44catKkiS5fvqyRI0dq586dypYtm5o1a5asbdesWVMuLi7av3+/Dhw48MT22bNntx7+m1CgM8ZYy1PrNRT3RdXjzlNOTenx/vy39xFA+iG0AsBT7vXXX1eOHDm0Z88e7dq1K8E2L774oqS/P+gfPXrUWh4VFaUhQ4Zo7969/0pfH7V//3698847NmXbt2/XRx99JEl64403rOXOzs4aNWqUjDFq2rSptm/fHm99MTEx2rRpk3bv3p1qfcyQIYNef/11SdKAAQNsZqWjoqLUt29fXb16Vbly5UrRhZ4S0qhRI5UqVUqXL19Wy5YtdePGDZv6+/fv23zREHfu6caNG21+v5I0e/Zsa5B71JQpUxI8B/b48ePW2dmcOXNay8eNGydJ6tSpk1atWhVvOWOM9uzZo3Xr1lnLFi1apP3798dre/v2bevFkh7eRlK9/fbbOnLkiPV5bGyshgwZokuXLikoKCjRQ5j79u0rSZo0aZIkqXv37tYvRpIqc+bMeu211yRJLVu2tOmHJOtMclhYmLVs4MCB1n4fPnzYpu24ceN06NAh+fr6qmvXrsnqS2LiZpr/rQCZHu/Pf3sfAaQfDg8GgKecq6urxo4dq5CQEN29ezfBNpUqVVLjxo317bffqmzZsqpcubLc3Nx04MABhYeHq2/fvvrggw/+5Z7/fUXXYcOGadGiRSpevLguX76sn376SbGxserbt68aNGhg075Xr166cOGC3n33XVWpUkVFihRR3rx55ebmpqtXr+rQoUMKDQ3VzJkzVbFixVTr55gxY7Rv3z5t3LhRhQoVUo0aNeTl5aVdu3bpwoULypgxo5YvX26d+fmnHBwctHLlStWtW1dr165Vjhw5VLlyZWXMmFF//PGHDh8+LF9fX+uhsKVKlbL+fkuVKqXq1avL399fhw4d0okTJzR8+HCNHz8+3nbGjRunQYMGqWDBgipUqJDc3Nx0+fJl65WEO3TooNKlS1vbN2zYUB988IEGDBigRo0aKW/evCpQoIB8fHz0559/6vDhw7p+/bqGDBmiOnXqSJJWrFihjh07Klu2bCpZsqT8/Px069Yt7dixQ2FhYSpatGiyg1qOHDlUpkwZ60WjMmbMqL179+rMmTPy8PDQkiVLEryatSRVqVJFpUqV0sGDB+Xs7Kxu3bola9tx3nnnHZ09e1bfffedSpQooQoVKihXrlz666+/9Ntvv+mPP/7Q2bNn5ePjI+nvcLxz50599tlnKlu2rKpVq6bMmTPrwIEDOnHihNzc3LRkyRJlypQpRf15VJMmTTRmzBhNnz5dR44cUVBQkBwcHNSoUSM1atQoVbbxqH/7/dm8eXPNnz9fgwcP1oYNG5Q5c2ZZLBZ17txZL7zwQirsEQC7kT532gEAJMej92l9VExMjPWeqErk3oz37983b731lsmdO7dxdnY2mTNnNm3btjWnT59+4n1aHy2PM2rUKCPJjBo1KsH6xO4V+fD9FTdu3Ghq1aplfHx8jJubmylbtqxZsGDBY8djx44d5tVXXzU5c+Y0rq6uxsvLy+TPn980adLEfPrpp/HuOxo3Lv9EVFSU+fjjj03FihWNl5eXcXFxMXny5DG9e/c2ly5dStb+J9Xt27fN5MmTTbly5YyXl5dxdXU1OXPmNI0aNTJLly61afvgwQPz7rvvmmLFihl3d3fj7+9v6tSpY9atW2e9v2nOnDltllm8eLHp1KmTKVq0qPH397euv379+mblypUmNjY2wX79+uuvplu3biZfvnwmQ4YMxt3d3eTOndvUrVvXTJ8+3fzxxx/Wttu2bTP9+vUz5cuXN4GBgcbFxcUEBgaa559/3syYMcNEREQkeTwe3o+oqCgzfvx4U7BgQePq6mr8/f1N8+bNzW+//fbE9QwZMsRIMm3btk3ythMSGxtrlixZYurUqWMyZsxonJ2dTWBgoKlSpYp59913E7x38ZIlS0z16tWNr6+vcXZ2NkFBQSYkJMQcP348wW0kdi/VOI97ja1cudJUqlTJeHl5GYvFEu+9+qT7tCZ2/9Mnve9T+/35uP7MmTPHlC5d2ri7uz/27x+Ap5vFmEcurwcAAPAfFRMTozx58uj8+fPauXOnnn/++fTuEgDgCTinFQAAPDNmz56t8+fP6/nnnyewAsBTgnNaAQDAf9qJEyf07rvv6urVq/rhhx/k4OCgKVOmpHe3AABJRGgFAAD/aVeuXNHcuXPl4uKiIkWKaPTo0VyoBwCeIpzTCgAAAACwW5zTCgAAAACwW4RWAAAAAIDd4pxWJEtsbKwuX74sLy8vWSyW9O4OAAAAgHRijNHt27eVLVs2OTik3XwooRXJcvnyZQUFBaV3NwAAAADYiYsXLyp79uxptn5CK5LFy8tL0t8vTG9v73TuDQAAAID0Eh4erqCgIGtGSCuEViRL3CHB3t7ehFYAAAAAaX7aIBdiAgAAAADYLUIrAAAAAMBuEVoBAAAAAHaLc1qRIqsOnpG7Z9qecA0AAADg/zQtkze9u5AumGkFAAAAANgtQisAAAAAwG4RWgEAAAAAdovQCgAAAACwW4RWAAAAAIDdIrQCAAAAAOwWoRUAAAAAYLcIrQAAAAAAu0VoBQAAAADYLUIrAAAAAMBuEVoBAAAAAHaL0AoAAAAAsFuEVgAAAACA3SK0AgAAAADsFqEVAAAAAGC3CK0AAAAAALtFaAUAAAAA2C1CKwAAAADAbhFaAQAAAOApt3DhQpUqVUoZMmRQQECA6tevr3v37lnr79+/r5EjRypXrlxydXVVjhw5NGjQoMeu88SJE+rVq5cKFy4sd3d35cqVS6+99pr++usvm3anT59WpUqV5O3trZdeeknXr1+3qT916pT8/f116dKlFO0boRUAAAAAnmLjx49X79691bp1a/3444/65JNPlCtXLsXExEiSYmNj1bhxY33xxRcaNWqU1q1bp3HjxsnFxeWx612/fr1++uknde/eXWvWrNHo0aO1Zs0aValSRZGRkdZ2r732moKDg7V8+XJdvHhR/fv3t1lPv379NGDAAGXPnj1F+2cxxpgULQm7d+7cOeXKlUsHDx5UyZIlU2Wd4eHh8vHx0eItB+Tu6ZUq6wQAAADwZE3L5I1XduLECRUtWlTfffed6tevn+Byc+fO1YABA3Ts2DFlzZo1ydu7ceOG/P39ZbFYrGU7d+5UpUqV9NVXX6l27dry8fGRJF2/fl2ZMmXSl19+qd69e1tnW1evXq0+ffro6NGjcnV1Tc7uWjHT+pTYtWuXHB0d9dJLLyV5maCgIF25ckVFixZNw54BAAAASC/z589Xrly5Eg2skjRnzhy1bNkyWYFVkjJmzGgTWCWpVKlSkqTLly/blLu5uUmS3N3drbOwDx480BtvvKH33nsvxYFVIrQ+NebOnavevXtr27Zt8V4giXF0dFRgYKCcnJzSuHcAAAAA0sPu3btVrFgxjRs3TpkzZ5aLi4sqVaqkPXv2SJKioqJ04MAB5cyZUx06dJCHh4e8vLzUqlUrXb16Ndnb2759uySpUKFC1rLg4GDNmDFDN2/e1OzZs1WuXDlJ0vvvv6/cuXOrcePG/2gfCa1PgYiICH355Zd67bXX9NJLL2nBggXWulu3bunVV19VpkyZ5Obmpnz58mn+/PmS/j482GKx6NChQ5KkmJgYdenSRbly5ZKbm5sKFCigDz74IB32CAAAAEBquHr1qtatW6dFixbp448/1jfffCOLxaI6dero+vXrunHjhqKiojR58mTduHFDK1eu1KxZs7Rjxw41a9YsWdu6f/++Bg4cqFKlSqlWrVrW8vfee0+TJk1SxowZdeDAAb333nu6cuWK3nnnHU2bNu0f7yNTcE+BZcuWqWDBgipQoIDatWunfv36adiwYbJYLBoxYoSOHj2qtWvXKiAgQKdPn7a5StjDYmNjlT17di1fvlwZM2bUzp071a1bN2XNmlWtWrVKcJnIyEibk6zDw8PTZB8BAAAAJF9sbKwiIiL01VdfqXjx4pKkihUrKjg4WB9++KF69OghSfLy8tKKFSush+lmyZJFtWvX1qZNm1SzZs0kbatHjx46e/asdu7caXPYcK1atXT16lVduHBBuXPnlrOzs9q3b6+QkBAVLFhQ8+bN0/jx4xUREaF27drpnXfekaOjY5L3kdD6FJg7d67atWsnSapXr57CwsK0detWVa9eXRcuXFCpUqVUtmxZSX9PzSfG2dlZY8aMsT7PlSuXdu3apWXLliUaWidOnGizDAAAAAD74efnp4wZM1oDqyT5+/urVKlS+u233+Tr6yuLxaIXXnjB5rzS6tWry9HRUb/99luSQutbb72lzz//XN9//32C18yJO5JT+vtiTRs2bNCJEyf066+/6rXXXtOmTZuUK1cuVapUSfnz51f37t2TvI8cHmznTpw4oZ9//llt27aVJDk5Oal169aaO3eupL8vL7106VKVLFlSgwcP1s6dOx+7vo8++khlypRRpkyZ5OnpqdmzZ+vChQuJth82bJjCwsKsj4sXL6bezgEAAAD4R4oUKZJo3f379+Xu7v7Yia379+8/cRszZszQhAkTNHfuXNWtW/exbWNjY9WnTx9NmDBB3t7e2rx5s4oVK6ZKlSopW7Zsat68udavX//EbT6M0Grn5s6dq+joaGXLlk1OTk5ycnLSzJkz9fXXXyssLEz169fX+fPn9cYbb+jy5cuqVauWBg4cmOC6li5dqoEDB6pLly5at26dDh06pE6dOunBgweJbt/V1VXe3t42DwAAAAD24eWXX9aNGzes17GR/r5VzYEDB1SmTBlrmx07dtgE1E2bNikmJsbaJjFffPGF+vbtq4kTJ6pDhw5P7M/cuXPl6OiokJAQa9ndu3etP9+5c0fJvesq92m1Y9HR0cqePbsGDx6sOnXq2NQ1adJEAwcOtB6jHueTTz7RoEGDFB4eHu8+rb1799bRo0e1ceNGa/sXX3xRf/31l82L/HG4TysAAACQPhK6T2tsbKwqVqyomzdvavz48XJzc9PEiRN16tQpHTlyRIGBgbp48aKKFy+u8uXLq2/fvvrzzz81dOhQ5c2bV9u2bbOen5o3b17lzJnTmhe2bt2q2rVrq2rVqho3bpzNdrNnzy5vb2/5+PgoLCxM3t7eCg0NVYECBbRq1SqVL19ekvTLL7+oZMmSmjx5soKDg9W1a1dNmDBBPXv2TPJ+c06rHfv+++9169YtdenSxXrT3jjNmzfX3LlzdfnyZZUpU0ZFihRRZGSkvv/+e5vLTz8sX758WrRokX788UflypVLn332mfbu3atcuXL9G7sDAAAAIJU5ODhozZo1euONN9S9e3c9ePBAVapU0bZt2xQYGChJCgoK0ubNm9WvXz81b95c7u7uatKkiaZOnWpzQaXo6GjFxMRYn2/evFlRUVHauHGjzcSXJI0aNUr9+/ePV9agQQNrYJWk4sWLa9asWRo3bpzu3Lmj9u3bq1u3bsnaR2Za7VjDhg0VGxur1atXx6v7+eefVaFCBY0ZM0ZLly7VuXPn5ObmpipVquj9999Xrly54s20RkZGqkePHlq5cqUsFovatm0rHx8frV27lplWAAAAwM4lNNOanuKyQdxMa1ohtCJZCK0AAABA+nhWQysXYgIAAAAA2C1CKwAAAADAbhFaAQAAAAB2i9AKAAAAALBbhFYAAAAAgN0itAIAAAAA7BahFQAAAABgtwitAAAAAAC7RWgFAAAAANgtQisAAAAAwG4RWgEAAAAAdovQCgAAAACwW4RWAAAAAIDdIrQCAAAAAOwWoRUAAAAAYLcIrQAAAAAAu0VoBQAAAADYLUIrAAAAAMBuOaV3B/B0algqj7y9vdO7GwAAAAD+45hpBQAAAADYLUIrAAAAAMBuEVoBAAAAAHaL0AoAAAAAsFuEVgAAAACA3SK0AgAAAADsFqEVAAAAAGC3CK0AAAAAALtFaAUAAAAA2C1CKwAAAADAbhFaAQAAAAB2i9AKAAAAALBbTundATydqr71hRxd3dK7G4D2v9shvbsAAACANMRMKwAAAADAbhFaAQAAAAB2i9AKAAAAALBbhFYAAAAAgN0itAIAAAAA7BahFQAAAABgtwitAAAAAAC7RWgFAAAAANgtQisAAAAAwG4RWgEAAAAAdovQCgAAAACwW4RWAAAAAIDdIrQCAAAAAOwWoRUAAAAAYLcIrQAAAAAAu0VoBQAAAADYLUIrAAAAAMBuEVoBAAAAAHaL0ArgP+f06dPq0aOHSpYsKScnJxUtWvSx7b/55htZLJYntnvY6tWr9cILL8jDw0N+fn6qUaOGLl26ZK3fs2ePihcvLh8fH7Vr10537tyxWX7r1q3Knj27IiIikrdzAAAAzxhCK4D/nN9++02rV69W3rx5Vbhw4ce2vXfvnt544w1lyZIlyetfvHixmjVrpurVq+v777/XwoULVbZsWd2/f1+SFBUVpdatW+vFF1/U559/rq1bt2rixInW5WNiYtSnTx9NnjxZnp6eKdtJAACAZ4RTencAAFJbw4YN1bhxY0lSSEiI9u3bl2jbiRMnKkeOHMqVK9dj28W5efOmXn/9dU2bNk2vvfaatbxRo0bWn0+ePKmbN2/q3XfflaOjo3777Td9/fXXGjdunCRp1qxZ8vLy0quvvprSXQQAAHhmMNOaykJCQmSxWOI96tWrl95dA54ZDg5J+9N25swZTZ06VdOnT0/yupctW6aYmBh16dIl0TaRkZFycXGRo6OjJMnd3V2RkZGSpBs3bmj06NGaMWNGkrcJAADwLCO0poF69erpypUrNo8vvvgiResyxig6OjqVewhAkvr27asOHTqoRIkSSV5m9+7dKliwoBYuXKicOXPKyclJJUuW1Nq1a61tChQooKioKC1evFhXr17VokWLVK5cOUnSW2+9pWbNmqlUqVKpvj8AAAD/RYTWNODq6qrAwECbh5+fn86dOyeLxaJDhw5Z24aGhspisWjLli2SpC1btshisWjt2rUqU6aMXF1dtX37dkVGRqpPnz7KnDmzMmTIoMqVK2vv3r3W9cQtt3r1ahUvXlwZMmRQxYoVdeTIEZu+bd++XVWqVJGbm5uCgoLUp0+feBeIAZ4Fq1at0s6dO/X2228na7mrV6/qxIkTGjFihN5++22tXbtWwcHBatSokX777TdJkoeHh2bMmKEuXbooa9asioiI0OjRo3X48GF99dVXGj9+fFrsEgAAwH8SodVODR06VJMmTdKxY8dUvHhxDR48WF9//bUWLlyoAwcOKG/evKpbt65u3rxps9ygQYM0depU7d27V5kyZVLDhg0VFRUl6e9DIevVq6fmzZvrl19+0Zdffqnt27erV69eifYjMjJS4eHhNg/gaXf//n3169dPY8aMUUBAQLKWjY2NVUREhGbPnq0OHTqodu3aWr58ubJnz67Jkydb23Xo0EF//fWXTp48qSNHjih79uzq3bu3Ro4cqYCAAI0fP15BQUHxlgMAAIAtQmsa+P777+Xp6WnzmDBhQrLWMXbsWNWuXVt58uSRq6urZs6cqXfffVf169dX4cKFNWfOHLm5uWnu3Lk2y40aNUq1a9dWsWLFtHDhQl27dk0rV66U9PcFZ1599VX169dP+fLl0wsvvKDp06dr0aJF1quePmrixIny8fGxPoKCglI2KIAdmTZtmhwcHNS2bVuFhoYqNDRUDx48UGxsrPXnxPj5+UmSatasaS1zdnZW1apVrTOtcby8vJQvXz45Ojrqiy++0K1bt9SzZ0+tWbNGU6ZM0fr167VhwwZNmDBBP/74Y9rsLAAAwFOOqwengRo1amjmzJk2Zf7+/smapSxbtqz15zNnzigqKkqVKlWyljk7O6t8+fI6duyYzXLPP/+8zTYLFChgbXP48GH98ssv+vzzz61tjDGKjY3V2bNnVahQoXj9GDZsmPr37299Hh4eTnDFU+/48eM6ffq0MmXKFK/Oz89PM2fOVI8ePRJctkiRIomuN7Evf+7cuaPBgwdr0aJFcnR01IYNG1SrVi0VLFhQklS7dm2tX79edevWTcHeAAAA/LcRWtOAh4eH8ubNG688IiJC0t9BMU7cobsJrSO1RUREqHv37urTp0+8uhw5ciS4jKurq1xdXVO9L0B6Gjp0qEJCQmzKJk2apBMnTmj+/PnKnz9/osu+/PLLGjVqlDZs2KAmTZpIkh48eKCtW7eqatWqCS4zYcIEVaxYUTVq1LCW3b171/rznTt3bP4uAAAA4P8QWv9FcbM6V65csV459OGLMiUmT548cnFx0Y4dO5QzZ05Jf4fdvXv3ql+/fjZtd+/ebQ2gt27d0smTJ60zqKVLl9bRo0cTDNTAf8ndu3e1Zs0aSdL58+cVHh6ur776SpJUrVo1FSxY0DrLGWfBggW6dOmSqlevbi07f/688uTJo5EjR2rkyJGS/n4fNW/eXN26ddPNmzeVNWtWffTRR7p27ZoGDRoUry+///67Zs6cafNer1mzpj788EPNmzdPxhht2LBBvXv3TuVRAAAA+G8gtKaByMhIXb161abMyclJAQEBqlixoiZNmqRcuXLp+vXreuutt564Pg8PD7322msaNGiQ/P39lSNHDr3zzju6e/duvHtFjh07VhkzZlSWLFn05ptvKiAgwDobNGTIEFWsWFG9evXS//73P3l4eOjo0aNav369Pvzww1TbfyC9Xb9+XS1btrQpi3u+efNmm2D6OMYYxcTEKDY21qZ84cKFGjZsmIYOHarw8HCVKVNGGzZsULFixeKt44033lDfvn1tjmZ4+eWX9eabb2r48OGSpJEjR6pBgwbJ2UUAAIBnBqE1Dfzwww/KmjWrTVmBAgV0/PhxzZs3T126dFGZMmVUoEABvfPOO6pTp84T1zlp0iTFxsaqffv2un37tsqWLasff/zRelGYh9v17dtXp06dUsmSJbVq1Sq5uLhIkooXL66tW7fqzTffVJUqVWSMUZ48edS6devU23nADgQHByf7cNsFCxYkeT0eHh6aPn26pk+f/sT1fvvttwmWjxo1SqNGjUpWHwEAAJ5FFsOJVP8JW7ZsUY0aNXTr1i35+vqm2XbCw8Pl4+OjEr1nydHVLc22AyTV/nc7pHcXAAAAnklx2SAsLEze3t5pth1ueQMAAAAAsFuEVgAAAACA3eKc1v+I6tWrc8sMAAAAAP85zLQCAAAAAOwWoRUAAAAAYLcIrQAAAAAAu0VoBQAAAADYLUIrAAAAAMBuEVoBAAAAAHaL0AoAAAAAsFuEVgAAAACA3SK0AgAAAADsFqEVAAAAAGC3CK0AAAAAALtFaAUAAAAA2C1CKwAAAADAbhFaAQAAAAB2i9AKAAAAALBbhFYAAAAAgN1ySu8O4Om0bVxbeXt7p3c3AAAAAPzHMdMKAAAAALBbhFYAAAAAgN0itAIAAAAA7BahFQAAAABgtwitAAAAAAC7RWgFAAAAANgtQisAAAAAwG4RWgEAAAAAdovQCgAAAACwW4RWAAAAAIDdIrQCAAAAAOyWU3p3AE+nH47NkbunW3p3A0+hl4v0TO8uAAAA4CnCTCsAAAAAwG4RWgEAAAAAdovQCgAAAACwW4RWAAAAAIDdIrQCAAAAAOwWoRUAAAAAYLcIrQAAAAAAu0VoBQAAAADYLUIrAAAAAMBuEVoBAAAAAHaL0AoAAAAAsFuEVgAAAACA3SK0AgAAAADsFqEVAAAAAGC3CK0AAAAAALtFaAUAAAAA2C1CKwAAAADAbhFaAQAAAAB2i9AKwC6cPn1aPXr0UMmSJeXk5KSiRYva1IeHh2v06NEqX768fH19lSVLFjVs2FC//vprkta/a9cuValSRW5ubsqSJYt69+6tu3fv2rTZs2ePihcvLh8fH7Vr10537tyxqd+6dauyZ8+uiIiIf7azAAAASDJCKwC78Ntvv2n16tXKmzevChcuHK/+woUL+uSTT1SnTh0tW7ZMc+bMUVhYmCpWrKhjx449dt3nz59XrVq15OHhoa+//lrjx4/XkiVL1KFDB2ubqKgotW7dWi+++KI+//xzbd26VRMnTrTWx8TEqE+fPpo8ebI8PT1Tb8cBAADwWE7p3YH0EhISotDQUH3zzTfp3ZV/ZMuWLapRo4Zu3bolX1/f9O4OkGINGzZU48aNJf39/ty3b59Nfa5cuXTmzBm5u7tby2rWrKmcOXPq448/1owZMxJd98SJE+Xn56dvv/1Wrq6ukiQ/Pz+1aNFCBw8eVKlSpXTy5EndvHlT7777rhwdHfXbb7/p66+/1rhx4yRJs2bNkpeXl1599dXU3nUAAAA8RrrPtIaEhMhisWjSpEk25d98840sFss/Xv+5c+dksVh06NChf7yuOPfu3ZO/v78CAgIUGRmZautNiRdeeEFXrlyRj49PuvYD+KccHB7/58jDw8MmsEqSp6en8ubNq8uXLz922YMHD6pq1arWwCpJdevWlSStWrVKkhQZGSkXFxc5OjpKktzd3a3v7xs3bmj06NGPDcYAAABIG+keWiUpQ4YMmjx5sm7dupWq633w4EGqri/O119/rSJFiqhgwYLpOlMbFRUlFxcXBQYGpkrAB542oaGhOnLkiAoVKvTYdvfv37cJrJLk7Owsi8ViPbS4QIECioqK0uLFi3X16lUtWrRI5cqVkyS99dZbatasmUqVKpU2OwIAAIBE2UVoffHFFxUYGGhz/lhC4sKiq6urgoODNXXqVJv64OBgvf322+rQoYO8vb3VrVs35cqVS5JUqlQpWSwWVa9e3WaZKVOmKGvWrMqYMaNef/11RUVFPbG/c+fOVbt27dSuXTvNnTs3Xr3FYtEnn3yil19+We7u7ipUqJB27dql06dPq3r16vLw8NALL7ygM2fO2Cz37bffqnTp0sqQIYNy586tMWPGKDo62ma9M2fOVKNGjeTh4aHx48dry5YtslgsCg0NtbbbsWOHqlevLnd3d/n5+alu3brWLwR++OEHVa5cWb6+vsqYMaNefvnleP0AnhaDBw+WxWJRjx49HtsuX7582rt3r4wx1rKff/5ZxhjdvHlT0t8zuTNmzFCXLl2UNWtWRUREaPTo0Tp8+LC++uorjR8/Pk33BQAAAAmzi9Dq6OioCRMmaMaMGbp06VKCbfbv369WrVqpTZs2+vXXXzV69GiNGDFCCxYssGk3ZcoUlShRQgcPHtSIESP0888/S5I2bNigK1euaMWKFda2mzdv1pkzZ7R582YtXLhQCxYsiLe+R505c0a7du1Sq1at1KpVK/300086f/58vHZx4fnQoUMqWLCgXnnlFXXv3l3Dhg3Tvn37ZIxRr169rO1/+ukndejQQX379tXRo0f1ySefaMGCBfE+KI8ePVpNmzbVr7/+qs6dO8fb7qFDh1SrVi0VLlxYu3bt0vbt29WwYUPFxMRIku7cuaP+/ftr37592rhxoxwcHNS0aVPFxsYmuL+RkZEKDw+3eQD2YP78+ZozZ44++ugjZc+e/bFte/bsqaNHj2rYsGH6888/dfjwYb3++utydHS0OUqhQ4cO+uuvv3Ty5EkdOXJE2bNnV+/evTVy5EgFBARo/PjxCgoKUvbs2TV58uS03kUAAADIji7E1LRpU5UsWVKjRo1KcPbyvffeU61atTRixAhJUv78+XX06FG9++67CgkJsbarWbOmBgwYYH0ed35axowZFRgYaLNOPz8/ffjhh3J0dFTBggX10ksvaePGjeratWui/Zw3b57q168vPz8/SX+fFzd//nyNHj3apl2nTp3UqlUrSdKQIUP0/PPPa8SIEdbz6Pr27atOnTpZ248ZM0ZDhw5Vx44dJUm5c+fW22+/rcGDB2vUqFHWdq+88orNcr///rvNdt955x2VLVtWH3/8sbWsSJEi1p+bN28eb38yZcqko0ePxrvFiPT3BWzGjBmT6HgA6WHt2rXq1q2bRowYYX3PPE7NmjU1efJkjR49WpMnT5aDg4N69OghFxcXZc2a1aatl5eXvLy8JElffPGFbt26pZ49e2rNmjWaMmWKdu3aJUmqUKGCSpYsaX1PAwAAIG3YxUxrnMmTJ2vhwoUJ3r7i2LFjqlSpkk1ZpUqVdOrUKessoiSVLVs2ydsrUqSINdRKUtasWXX9+vVE28fExGjhwoVq166dtaxdu3ZasGBBvJnK4sWLW3/OkiWLJKlYsWI2Zffv37fOXB4+fFhjx46Vp6en9dG1a1dduXLF5l6ST9q/uJnWxJw6dUpt27ZV7ty55e3treDgYEl/304kIcOGDVNYWJj1cfHixcduH0hru3fvVosWLdSxY0eNHTs2ycsNHjxYf/75p3755RddvXpVH3zwgU6fPq2KFSsm2P7OnTsaPHiwpk+fLkdHR23YsEG1atVSwYIFVbBgQdWuXVvr169Prd0CAABAIlI007po0SK1bt063oVNHjx4oKVLl9rc+zA5qlatqrp162rYsGE2s6fJ4eHhkeS2zs7ONs8tFkuih8lK0o8//qg//vhDrVu3timPiYnRxo0bVbt27QTXHXf4YUJlcduLiIjQmDFj1KxZs3jbzZAhg/XnJ+2fm5vbY+sbNmyonDlzas6cOcqWLZtiY2NVtGjRRC9a5erqGu/3DKSXo0eP6qWXXlLNmjU1a9asZC/v4eFh/fJo3rx5MsZYj4h41IQJE1SxYkXVqFHDWvbwF0h37tyxOUcWAAAAaSNFobVTp06qV6+eMmfObFN++/ZtderUKcWhVZImTZqkkiVLqkCBAjblhQoV0o4dO2zKduzYofz589vMlj7KxcVFkmxmY1Nq7ty5atOmjd58802b8vHjx2vu3Lk2oTW5SpcurRMnTihv3rz/qI/FixfXxo0bEzyk98aNGzpx4oTmzJmjKlWqSJK2b9/+j7YHpJa7d+9qzZo1kqTz588rPDxcX331lSSpWrVqMsaobt26cnNz0xtvvGFzH1dvb28VLlzYumyePHk0cuRIjRw5UpJ09uxZLVy4UBUqVJAkbdq0SdOmTdP8+fOth/o/7Pfff9fMmTNtbpVVs2ZNffjhh9awu2HDBvXu3TtNxgIAAAD/J0Wh1RiT4C1WLl269I/vF1qsWDG9+uqrmj59uk35gAEDVK5cOb399ttq3bq1du3apQ8//NDm3M2EZM6cWW5ubvrhhx+UPXt2ZciQIUV9/PPPP7Vq1Sp999138c797NChg5o2baqbN2/K398/2euWpJEjR+rll19Wjhw51KJFCzk4OOjw4cM6cuSIxo0bl+T1DBs2TMWKFVPPnj2t5+xt3rxZLVu2lL+/vzJmzKjZs2cra9asunDhgoYOHZqi/gKp7fr162rZsqVNWdzzzZs3S5L1Qm2PHgJfrVo1bdmyRdLff59iYmJsjppwdnbWli1bNG3aND148EAlSpTQypUr9fLLLyfYlzfeeEN9+/ZVjhw5rGUvv/yy3nzzTQ0fPlzS3+/ZBg0a/IM9BgAAQFIkK7TG3TbGYrGoVq1acnL6v8VjYmJ09uxZ1atX7x93auzYsfryyy9tykqXLq1ly5Zp5MiRevvtt5U1a1aNHTv2iYcROzk5afr06Ro7dqxGjhypKlWqWD/cJseiRYvk4eGR4PmitWrVkpubmxYvXqw+ffoke93S3xd0+v777zV27FhNnjxZzs7OKliwoP73v/8laz358+fXunXrNHz4cJUvX15ubm6qUKGC2rZtKwcHBy1dulR9+vRR0aJFVaBAAU2fPj3ebYCA9BAcHPzEw22TcjhuQuvJnj17st733377bYLlo0aNsrkwGgAAANKexSTjpKy4Q07HjBmjAQMGyNPT01rn4uKi4OBgNW/e3HpILv57wsPD5ePjoy93T5G75+PPnwUS8nKRnundBQAAAKSCuGwQFhYmb2/vNNtOsmZa42YYgoOD1bp1a5sLBAEAAAAAkNpSdE5r3H0RHzx4oOvXr8e74u7D54EBAAAAAJBSKQqtp06dUufOnbVz506b8rgLNKXGlXoBAAAAAEhRaA0JCZGTk5O+//57Zc2aNcErCQMAAAAA8E+lKLQeOnRI+/fvV8GCBVO7PwAAAAAAWDmkZKHChQvrr7/+Su2+AAAAAABgI0WhdfLkyRo8eLC2bNmiGzduKDw83OYBAAAAAEBqSNHhwS+++KIkqVatWjblXIgJAAAAAJCaUhRaN2/enNr9AAAAAAAgnhSF1mrVqqV2PwAAAAAAiCdF57RK0k8//aR27drphRde0B9//CFJ+uyzz7R9+/ZU6xwAAAAA4NmWotD69ddfq27dunJzc9OBAwcUGRkpSQoLC9OECRNStYMAAAAAgGdXikLruHHjNGvWLM2ZM0fOzs7W8kqVKunAgQOp1jkAAAAAwLMtRaH1xIkTqlq1arxyHx8fhYaG/tM+AQAAAAAgKYWhNTAwUKdPn45Xvn37duXOnfsfdwoAAAAAACmFobVr167q27ev9uzZI4vFosuXL+vzzz/XwIED9dprr6V2HwEAAAAAz6gU3fJm6NChio2NVa1atXT37l1VrVpVrq6uGjhwoHr37p3afQQAAAAAPKNSFFotFovefPNNDRo0SKdPn1ZERIQKFy4sT0/P1O4fAAAAAOAZlqLQGsfFxUWFCxdOrb4AAAAAAGAjRaH1zp07mjRpkjZu3Kjr168rNjbWpv73339Plc7BftUr1FXe3t7p3Q0AAAAA/3EpCq3/+9//tHXrVrVv315Zs2aVxWJJ7X4BAAAAAJCy0Lp27VqtXr1alSpVSu3+AAAAAABglaJb3vj5+cnf3z+1+wIAAAAAgI0Uhda3335bI0eO1N27d1O7PwAAAAAAWKXo8OCpU6fqzJkzypIli4KDg+Xs7GxTf+DAgVTpHAAAAADg2Zai0NqkSZNU7gYAAAAAAPFZjDEmvTuBp0d4eLh8fHwUFhbGLW8AAACAZ9i/lQ1SdE4rAAAAAAD/hiQfHuzv76+TJ08qICBAfn5+j703682bN1OlcwAAAACAZ1uSQ+v7778vLy8v68+PC60AAAAAAKQGzmlFsnBOKwAAAADJzs9pdXR01PXr1+OV37hxQ46Ojv+4UwAAAAAASCm85U1ik7ORkZFycXH5Rx3C0+GlWbXl5Jail0+a2dx7R3p3AQAAAEAqS1bqmD59uiTJYrHo008/laenp7UuJiZG27ZtU8GCBVO3hwAAAACAZ1ayQuv7778v6e+Z1lmzZtkcCuzi4qLg4GDNmjUrdXsIAAAAAHhmJSu0nj17VpJUo0YNrVixQn5+fmnSKQAAAAAApBSe07p58+bU7gcAAAAAAPGkKLTGxMRowYIF2rhxo65fv67Y2Fib+k2bNqVK5wAAAAAAz7YUhda+fftqwYIFeumll1S0aFFZLJbU7hcAAAAAACkLrUuXLtWyZcvUoEGD1O4PAAAAAABWDilZyMXFRXnz5k3tvgAAAAAAYCNFoXXAgAH64IMPZIxJ7f4AAAAAAGCVosODt2/frs2bN2vt2rUqUqSInJ2dbepXrFiRKp0DAAAAADzbUhRafX191bRp09TuCwAAAAAANlIUWufPn5/a/QAAAAAAIJ4UhdY4f/75p06cOCFJKlCggDJlypQqnQIAAAAAQErhhZju3Lmjzp07K2vWrKpataqqVq2qbNmyqUuXLrp7925q9xEAAAAA8IxKUWjt37+/tm7dqlWrVik0NFShoaH69ttvtXXrVg0YMCC1+wgAAAAAeEal6PDgr7/+Wl999ZWqV69uLWvQoIHc3NzUqlUrzZw5M7X6BwAAAAB4hqVopvXu3bvKkiVLvPLMmTNzeDAAAAAAINWkKLQ+//zzGjVqlO7fv28tu3fvnsaMGaPnn38+1ToHpLY1a9aoWrVqypQpk1xdXZU7d271799fYWFhj11u4MCBKlKkiLy8vOTt7a1y5cpp6dKlNm2io6PVu3dv+fv7K1++fFq7dm289dSsWVPvv/9+qu4TAAAA8F+WosODp02bpnr16il79uwqUaKEJOnw4cNydXXVunXrUrWDQGq6efOmKlSooD59+ihjxow6cuSIRo8erSNHjjz2tRsREaGuXbuqYMGCslgs+uqrr9S2bVvFxsbqlVdekSTNmzdP3333nRYtWqQNGzaoTZs2Onv2rPz9/SVJy5cv19WrV9W7d+9/ZV8BAACA/wKLMcakZMG7d+/q888/1/HjxyVJhQoV0quvvio3N7dU7WBa2bJli2rUqKFbt27J19c3vbvzjwQHB6tfv37q169fmm8rPDxcPj4+qjy5vJzc/tEdk1Ld5t47UrTcnDlz1K1bN/3xxx/Kli1bkperVKmSPDw8rGG3ZcuWKl++vAYNGqTo6Gj5+fnpyy+/VIMGDXTv3j0VLFhQn376qWrXrp2ifgIAAAD2JC4bhIWFydvbO822k6LUMXHiRGXJkkVdu3a1KZ83b57+/PNPDRkyJEnr+fPPPzVy5EitXr1a165dk5+fn0qUKKGRI0eqUqVKKelagqpXr66SJUtq2rRpqbbO7t2769NPP9XSpUvVsmXLVFtvSuzdu1ceHh7p2oenWcaMGSVJDx48SPZy4eHh1ueRkZHWL22cnJzk4uKiyMhISdKkSZNUunRpAisAAACQTCk6p/WTTz5RwYIF45UXKVJEs2bNSvJ6mjdvroMHD2rhwoU6efKkvvvuO1WvXl03btxISbf+NXfv3tXSpUs1ePBgzZs3L936EReyMmXKJHd393Trx9MoJiZG9+/f14EDBzR27Fg1atRIwcHBj13GGKPo6GiFhobqs88+07p169SrVy9rfbly5fTZZ5/p2rVrWrRokcLCwlSqVCmdP39eM2bM0HvvvZfGewUAAAD896QotF69elVZs2aNV54pUyZduXIlSesIDQ3VTz/9pMmTJ6tGjRrKmTOnypcvr2HDhqlRo0bWdhcuXFDjxo3l6ekpb29vtWrVSteuXbPWh4SEqEmTJjbr7tevn/V2PCEhIdq6das++OADWSwWWSwWnTt3ztp2//79Klu2rNzd3fXCCy/oxIkTT+z78uXLVbhwYQ0dOlTbtm3TxYsXberj+jRhwgRlyZJFvr6+Gjt2rKKjozVo0CD5+/sre/bsmj9/vs1yFy9eVKtWreTr6yt/f381btzYpq9x6x0/fryyZcumAgUKSPr78OCHZ5FDQ0PVvXt3ZcmSRRkyZFDRokX1/fffS5Ju3Lihtm3b6rnnnpO7u7uKFSumL7744on7/F+TM2dOubm5qUyZMsqaNauWLFnyxGU2btwoZ2dn+fn5qXPnzvrggw/UokULa32fPn1ksVgUGBiokJAQTZgwQcHBwerfv79ef/115cqVKy13CQAAAPhPSlFoDQoK0o4d8c8f3LFjR5LPCfT09JSnp6e++eYb6yGUj4qNjVXjxo118+ZNbd26VevXr9fvv/+u1q1bJ7mvH3zwgZ5//nl17dpVV65c0ZUrVxQUFGStf/PNNzV16lTt27dPTk5O6ty58xPXOXfuXLVr104+Pj6qX7++FixYEK/Npk2bdPnyZW3btk3vvfeeRo0apZdffll+fn7as2ePevTooe7du+vSpUuSpKioKNWtW1deXl766aeftGPHDnl6eqpevXo2h61u3LhRJ06c0Pr1661B9NExq1+/vnbs2KHFixfr6NGjmjRpkhwdHSVJ9+/fV5kyZbR69WodOXJE3bp1U/v27fXzzz8nuK+RkZEKDw+3efwXrFmzRjt37tScOXN07NgxNWzYUDExMY9dpkKFCtq7d682bNigfv36qXfv3po7d6613sfHR7t27dKZM2f0119/afDgwdq4caP27t2rYcOG6eTJk6pevbr8/PxUo0YNnTlzJq13EwAAAHjqpeic1q5du6pfv36KiopSzZo1Jf0dpgYPHqwBAwYkbcNOTlqwYIG6du2qWbNmqXTp0qpWrZratGmj4sWLW9f566+/6uzZs9aguWjRIhUpUkR79+5VuXLlnrgdHx8fubi4yN3dXYGBgfHqx48fr2rVqkmShg4dqpdeekn3799XhgwZElzfqVOntHv3bq1YsUKS1K5dO/Xv319vvfWWLBaLtZ2/v7+mT58uBwcHFShQQO+8847u3r2r4cOHS5KGDRumSZMmafv27WrTpo2+/PJLxcbG6tNPP7WuZ/78+fL19dWWLVtUp04dSZKHh4c+/fRTubi4JNi/DRs26Oeff9axY8eUP39+SVLu3Lmt9c8995wGDhxofd67d2/9+OOPWrZsmcqXLx9vfRMnTtSYMWMSGd2nV9xr7Pnnn1e5cuVUsmRJrVy50mbm9FFeXl4qW7asJKlWrVqKjo5W//79FRISYv1SwGKxWMc7Ojpaffv21bvvvit3d3e1a9dOFStW1Jo1azR48GC1a9dOu3btSuM9BQAAAJ5uKZppHTRokLp06aKePXsqd+7cyp07t3r37q0+ffpo2LBhSV5P8+bNdfnyZX333XeqV6+etmzZotKlS1tnLo8dO6agoCCbmdHChQvL19dXx44dS0nX44kLL5Kshzxfv3490fbz5s1T3bp1FRAQIElq0KCBwsLCtGnTJpt2RYoUkYPD/w1vlixZVKxYMetzR0dHZcyY0bqtw4cP6/Tp0/Ly8rLOQvv7++v+/fs2M3LFihVLNLBK0qFDh5Q9e3ZrYH1UTEyM3n77bRUrVkz+/v7y9PTUjz/+qAsXLiTYftiwYQoLC7M+Hj0U+r+gePHicnZ21unTp5O1XJkyZRQeHq4///wzwfqPPvpIAQEBat26tcLDw7V3715169ZN7u7u6tGjh3bv3q2IiIjU2AUAAADgPytFM60Wi0WTJ0/WiBEjdOzYMbm5uSlfvnxydXVN9royZMig2rVrq3bt2hoxYoT+97//adSoUQoJCUnS8g4ODnr0rj1RUVFJ3r6zs7P157gZztjY2ATbxsTEaOHChbp69aqcnJxsyufNm6datWoluN64dSdUFretiIgIlSlTRp9//nm87WbKlMn685OuEvykWw69++67+uCDDzRt2jQVK1ZMHh4e6tevX6JXznV1dU3R7/VpsmfPHkVFRdnMSCfF9u3b5e3tbf0C42F//vmn3n777XhfZty9e1eSdOfOHUmJv9YAAAAA/O0f3WjT09MzSYfoJkfhwoX1zTffSPr73q8XL17UxYsXrbOtR48eVWhoqAoXLizp70B35MgRm3UcOnTIJiC6uLg88XzFpFizZo1u376tgwcPWg8HlaQjR46oU6dOCg0NTfE9X0uXLq0vv/xSmTNn/kf3OCpevLguXbqkkydPJjjbumPHDjVu3Fjt2rWT9HdoOnnypHU8/+uaNWumsmXLqnjx4nJzc9Phw4f17rvvqnjx4tYLenXp0kULFy5UdHS0JOmXX37RkCFD1LJlSwUHBysiIkLff/+9Pv30U02cONHmC4w4w4cPV+vWra0z+d7e3ipTpoxGjBihgQMH6p133lG5cuXS9H5WAAAAwH9Big4PTg03btxQzZo1tXjxYv3yyy86e/asli9frnfeeUeNGzeWJL344osqVqyYXn31VR04cEA///yzOnTooGrVqlnPLaxZs6b27dunRYsW6dSpUxo1alS8EBscHKw9e/bo3Llz+uuvv1I8uzV37ly99NJLKlGihIoWLWp9xF3xN6FZ0qR69dVXFRAQoMaNG+unn37S2bNntWXLFvXp08d6saakqFatmqpWrarmzZtr/fr1Onv2rNauXasffvhBkpQvXz6tX79eO3fu1LFjx9S9e3ebqzH/15UvX17Lly/XK6+8osaNG2vevHnq2rWrfvrpJ+th1zExMTZfcjx8BegGDRqoa9euOnHihFauXJngPYn379+vb7/9Vm+//bZN+WeffaY7d+6oadOmunv3rj777LO03VkAAADgP+AfzbT+E56enqpQoYLef/99nTlzRlFRUQoKClLXrl2tFyuyWCz69ttv1bt3b1WtWlUODg6qV6+eZsyYYV1P3bp1NWLECA0ePFj3799X586d1aFDB/3666/WNgMHDlTHjh1VuHBh3bt3T2fPnk12f69du6bVq1cneGsUBwcHNW3aVHPnztXrr7+egtGQ3N3dtW3bNg0ZMkTNmjXT7du39dxzz6lWrVrJno37+uuvNXDgQLVt21Z37txR3rx5NWnSJEnSW2+9pd9//11169aVu7u7unXrpiZNmigsLCxF/X7aDB06VEOHDn1smwULFthcETpLlizJui1QmTJlEjwvulChQtq+fXuS1wMAAABAsphHTwgFHiM8PFw+Pj6qPLm8nNzS7TuPBG3uHf82TAAAAADSRlw2CAsLS9PT3tLt8GAAAAAAAJ6E0AoAAAAAsFuEVgAAAACA3SK0AgAAAADsFqEVAAAAAGC3CK0AAAAAALtFaAUAAAAA2C1CKwAAAADAbhFaAQAAAAB2i9AKAAAAALBbhFYAAAAAgN0itAIAAAAA7BahFQAAAABgtwitAAAAAAC7RWgFAAAAANgtQisAAAAAwG4RWgEAAAAAdovQCgAAAACwW4RWAAAAAIDdckrvDuDptLrHenl7e6d3NwAAAAD8xzHTCgAAAACwW4RWAAAAAIDdIrQCAAAAAOwWoRUAAAAAYLcIrQAAAAAAu0VoBQAAAADYLUIrAAAAAMBuEVoBAAAAAHaL0AoAAAAAsFuEVgAAAACA3SK0AgAAAADsFqEVAAAAAGC3nNK7A3g6hS5fplh39zRZt2/bV9JkvQAAAACePsy0AgAAAADsFqEVAAAAAGC3CK0AAAAAALtFaAUAAAAA2C1CKwAAAADAbhFaAQAAAAB2i9AKAAAAALBbhFYAAAAAgN0itAIAAAAA7BahFQAAAABgtwitAAAAAAC7RWgFAAAAANgtQisAAAAAwG4RWgEAAAAAdovQCgAAAACwW4RWAAAAAIDdIrQCAAAAAOwWoRUAAAAAYLcIrXhqLV++XI0bN1b27Nnl4eGhkiVLat68eTLGJLrMlStXNHjwYJUsWVJeXl7Knj27XnnlFZ0/f96m3bVr11S/fn15e3urcuXKOn36tE39zZs3lTlzZu3fvz9N9g0AAADA3witeGq99957cnd319SpU7Vq1SrVr19fXbt21dixYxNdZv/+/VqxYoVatWqlb7/9Vu+9955+/fVXlS9fXn/++ae13RtvvKHo6Gh99dVXcnV1VUhIiM16RowYocaNG6tMmTJptXsAAAAAJFnM46alkC6MMerevbu++uor3bp1SwcPHlTJkiUTbGuxWLRy5Uo1adLkX+lbeHi4fHx8dP7TOfJ2d0+Tbfi2fSVJ7f766y8FBATYlHXr1k1ffvmlbt26JQeH+N/JhIaGytPTU05OTtayS5cuKUeOHHr33Xc1YMAASVKmTJm0Zs0alStXTnv27FHFihUVEREhDw8P/fLLL6pZs6aOHTumTJky/YM9BQAAAJ5ecdkgLCxM3t7eabYdZlrT0a5du+To6KiXXnrJpvyHH37QggUL9P333+vKlSsqWrRoouu4cuWK6tevn9ZdtUuPBlZJKlWqlMLDw3Xnzp0El/H19bUJrJKUPXt2ZcqUSZcvX7aWRUZGys3NTZLk/v/D+YMHDyRJffr00YgRIwisAAAAwL+A0JqO5s6dq969e2vbtm02genMmTPKmjWrXnjhBQUGBsYLWdL/BajAwEC5urr+a322d9u3b9dzzz0nLy+vJC9z8uRJXb9+XYUKFbKWlStXTh9//LFu3bqljz76SHny5JGfn5++/PJL/fXXX3r99dfTovsAAAAAHkFoTScRERH68ssv9dprr+mll17SggULJEkhISHq3bu3Lly4IIvFouDgYElS9erV1atXL/Xr108BAQGqW7eupL8PD/7mm2+s67106ZLatm0rf39/eXh4qGzZstqzZ4+kv8Nw48aNlSVLFnl6eqpcuXLasGHDY/sZGRmp8PBwm4e92r59u5YuXaqBAwcmeRljjPr06aNs2bKpbdu21vIpU6Zo5cqV8vf319KlS/XJJ5/o7t27GjRokD744IMEv0gAAAAAkPoIrelk2bJlKliwoAoUKKB27dpZr3r7wQcfaOzYscqePbuuXLmivXv3WpdZuHChXFxctGPHDs2aNSveOiMiIlStWjX98ccf+u6773T48GENHjxYsbGx1voGDRpo48aNOnjwoOrVq6eGDRvqwoULifZz4sSJ8vHxsT6CgoJSfzBSwaVLl9S6dWvVqFFDffr0SfJyo0eP1saNG7Vo0SJ5eHhYy0uVKqULFy7o+PHjunr1qmrVqqWJEyeqXLlyqlWrllavXq0iRYooICBAISEhiR6ODAAAAOCf4UJM6aRSpUpq1aqV+vbtq+joaGXNmlXLly9X9erVNW3aNE2bNk3nzp2ztq9evbrCw8N14MABm/U8fCGm2bNna+DAgTp37pz8/f2T1I+iRYuqR48e6tWrV4L1kZGRioyMtD4PDw9XUFCQXVyIKU5oaKiqVKkii8Win376ST4+Pklabs6cOerWrZvmzp2rzp07P7bt2bNnVaZMGR04cEDu7u7KnTu35s2bpzp16qhu3bqqWbOmJk6cmKx+AwAAAE8zLsT0H3bixAn9/PPP1sNRnZyc1Lp1a82dO/exyz3p9iqHDh1SqVKlEg2sERERGjhwoAoVKiRfX195enrq2LFjj51pdXV1lbe3t83Dnty7d08vv/yywsLCtHbt2iQH1pUrV+q1117T2LFjnxhYJal///7q3bu3goODtXv3bmXIkEGtWrWSr6+v2rdvr/Xr1//TXQEAAACQAE7MSwdz585VdHS0smXLZi0zxsjV1VUffvhhoss9fPhqQuKudpuYgQMHav369ZoyZYry5s0rNzc3tWjRwnpRp6dNdHS0WrVqpWPHjumnn37Sc889l6TltmzZorZt26pr164aMWLEE9tv2LBBBw4c0JIlS6xlDx48UExMjBwdHXXnzh1xwAIAAACQNgit/7Lo6GgtWrRIU6dOVZ06dWzqmjRpoi+++CLF6y5evLg+/fRT3bx5M8HZ1h07digkJERNmzaV9PfM68OHID9tevbsqe+//15Tp05VeHi4du/eba0rVaqUXF1dVatWLZ0/f16nT5+WJB07dkxNmjRRvnz51L59e5tlMmXKpDx58thsIzo6Wn369NGUKVOsXwpUqFBBMTExGjx4sGrWrKmPPvpIbdq0+Rf2GAAAAHj2EFr/Zd9//71u3bqlLl26xDuUtXnz5po7d65effXVFK27bdu2mjBhgpo0aaKJEycqa9asOnjwoLJly6bnn39e+fLl04oVK9SwYUNZLBaNGDHCepGmp9G6deskSQMGDIhXd/bsWQUHBysmJkbR0dHW8j179igsLExhYWGqVKmSzTIdO3a0XsU5zowZMxQYGKiWLVtay7JkyaIvvvhCAwcO1KeffqqXXnopSTO2AAAAAJKPc1r/ZXPnztWLL76Y4LmXzZs31759+1J8WxkXFxetW7dOmTNnVoMGDVSsWDFNmjRJjo6OkqT33ntPfn5+euGFF9SwYUPVrVtXpUuX/kf7k57OnTsnY0yCj7hbBW3ZssVmNjkkJCTRZR4NrJL0xhtvaNOmTfHKGzVqpJMnTyosLExLlixJ1n1hAQAAACQdVw9GssRdIcyerh4MAAAA4N/H1YMBAAAAAM88QisAAAAAwG4RWgEAAAAAdovQCgAAAACwW4RWAAAAAIDdIrQCAAAAAOwWoRUAAAAAYLcIrQAAAAAAu0VoBQAAAADYLUIrAAAAAMBuEVoBAAAAAHaL0AoAAAAAsFuEVgAAAACA3SK0AgAAAADsFqEVAAAAAGC3CK0AAAAAALtFaAUAAAAA2C1CKwAAAADAbjmldwfwdPJt2Ure3t7p3Q0AAAAA/3HMtAIAAAAA7BahFQAAAABgtwitAAAAAAC7RWgFAAAAANgtQisAAAAAwG4RWgEAAAAAdovQCgAAAACwW4RWAAAAAIDdIrQCAAAAAOwWoRUAAAAAYLcIrQAAAAAAu0VoBQAAAADYLaf07gCeTvur1ZCno2Oi9eX2/fwv9gYAAADAfxUzrQAAAAAAu0VoBQAAAADYLUIrAAAAAMBuEVoBAAAAAHaL0AoAAAAAsFuEVgAAAACA3SK0AgAAAADsFqEVAAAAAGC3CK0AAAAAALtFaAUAAAAA2C1CKwAAAADAbhFaAQAAAAB2i9AKAAAAALBbhFYAAAAAgN0itAIAAAAA7BahFQAAAABgtwitAAAAAAC7RWgFAAAAANgtQivS1fHjx1W7dm15eHgoMDBQgwcP1oMHD5643I0bN9SjRw/lyJFDHh4eKlq0qGbNmmXT5tq1a6pfv768vb1VuXJlnT592qb+5s2bypw5s/bv35+q+wQAAAAg9RBakW5u3bqlmjVr6sGDB1qxYoUmTJig2bNnq3///k9ctmXLlvruu+80duxYrVq1SvXq1dNrr72mOXPmWNu88cYbio6O1ldffSVXV1eFhITYrGPEiBFq3LixypQpk9q7BgAAACCVOKV3B5B2FixYoH79+ik0NDS9u5KgWbNmKTw8XCtXrpS/v78kKTo6Wj179tTw4cOVLVu2BJe7evWqNm/erPnz51uDaM2aNbV3714tXbpUXbt2lSStX79ea9asUbly5eTj46OKFSvqzp078vDw0C+//KIvv/xSx44d+1f2FQAAAEDKMNOaAhcvXlTnzp2VLVs2ubi4KGfOnOrbt69u3LiR3l2z0bp1a508eTK9u5GotWvX6sUXX7QGVklq1aqVYmNjtW7dukSXi4qKkiT5+PjYlPv4+MgYY30eGRkpNzc3SZK7u7skWQ897tOnj0aMGKFMmTKlzs4AAAAASBOE1mT6/fffVbZsWZ06dUpffPGFTp8+rVmzZmnjxo16/vnndfPmzfTuopWbm5syZ86c3t1I1PHjx1WwYEGbMl9fX2XNmlXHjx9PdLmgoCDVqVNHEyZM0NGjR3X79m0tW7ZM69at0+uvv25tV65cOX388ce6deuWPvroI+XJk0d+fn768ssv9ddff9m0BQAAAGCfCK3J9Prrr8vFxUXr1q1TtWrVlCNHDtWvX18bNmzQH3/8oTfffFPS37N8Q4YMUVBQkFxdXZU3b17NnTvXup4jR46ofv368vT0VJYsWdS+fXv99ddf1voffvhBlStXlq+vrzJmzKiXX35ZZ86csdafO3dOFotFK1asUI0aNeTu7q4SJUpo165d1jYLFiyQr6+v9fmZM2fUuHFjZcmSRZ6enipXrpw2bNiQhqP1eLdu3bLpXxw/P78nhv8VK1YoS5YsKlKkiLy9vfXKK6/o/fffV/Pmza1tpkyZYj30eOnSpfrkk0909+5dDRo0SB988IGcnDg6HgAAALB3hNZkuHnzpn788Uf17NnTethpnMDAQL366qv68ssvZYxRhw4d9MUXX2j69Ok6duyYPvnkE3l6ekqSQkNDVbNmTZUqVUr79u3TDz/8oGvXrqlVq1bW9d25c0f9+/fXvn37tHHjRjk4OKhp06aKjY212e6bb76pgQMH6tChQ8qfP7/atm2r6OjoBPsfERGhBg0aaOPGjTp48KDq1aunhg0b6sKFC4nuc2RkpMLDw20e6c0Yo06dOunUqVNasmSJNm/erCFDhqhfv35aunSptV2pUqV04cIFHT9+XFevXlWtWrU0ceJElStXTrVq1dLq1atVpEgRBQQEKCQkRHfu3EnHvQIAAACQEKaakuHUqVMyxqhQoUIJ1hcqVEi3bt3S3r17tWzZMq1fv14vvviiJCl37tzWdh9++KFKlSqlCRMmWMvmzZunoKAgnTx5Uvnz57eZMYyrz5Qpk44ePaqiRYtaywcOHKiXXnpJkjRmzBgVKVJEp0+fjnfYrSSVKFFCJUqUsD5/++23tXLlSn333Xfq1atXgvs0ceJEjRkz5klDkyJ+fn4KCwuLV37r1i2b81wftXr1ai1fvly//PKLihUrJkmqXr26rl+/rgEDBqhNmzbWts7OzipQoIAk6ezZs/roo4904MABXb9+Xa1bt9a8efNUp04d1a1bV+PGjdPEiRNTeS8BAAAA/BPMtKbAwxf7Sci5c+fk6OioatWqJVh/+PBhbd68WZ6entZHXMiMOwT41KlTatu2rXLnzi1vb28FBwdLUrxZ0eLFi1t/zpo1qyTp+vXrCW43IiJCAwcOVKFCheTr6ytPT08dO3bssTOtw4YNU1hYmPVx8eLFx+57chQsWDDeuathYWG6cuVKgqE7ztGjR+Xo6GgT3qW/Z1YvX76su3fvJrhc//791bt3bwUHB2v37t3KkCGDWrVqJV9fX7Vv317r16//5zsFAAAAIFUx05oMefPmlcVi0bFjx9S0adN49ceOHZOfn1+8Q4cfFRERoYYNG2ry5Mnx6uKCZ8OGDZUzZ07NmTNH2bJlU2xsrIoWLWq9+m0cZ2dn688Wi0WS4h1CHGfgwIFav369pkyZorx588rNzU0tWrSIt86Hubq6ytXV9bH7k1L169fXhAkTFBoaaj23dfny5XJwcFCdOnUSXS5nzpyKiYnRL7/8YjNzvH//fmXOnNl6peCHbdiwQQcOHNCSJUusZQ8ePFBMTIwcHR11586dJ34ZAQAAAODfx0xrMmTMmFG1a9fWxx9/rHv37tnUXb16VZ9//rlat26tYsWKKTY2Vlu3bk1wPaVLl9Zvv/2m4OBg5c2b1+bh4eGhGzdu6MSJE3rrrbdUq1Yt62HH/9SOHTsUEhKipk2bqlixYgoMDNS5c+f+8XpTqkePHvLy8lKTJk20bt06zZ8/X4MGDVKPHj1s7tFaq1Yt5c2b1/q8QYMGypEjh1q0aKHFixdr48aNGjJkiBYsWKDevXvH2050dLT69OmjKVOmWL9QqFChgmJiYjR48GCtXr1aH330kWrVqpX2Ow0AAAAgWQityfThhx8qMjJSdevW1bZt23Tx4kX98MMPql27tp577jmNHz9ewcHB6tixozp37qxvvvlGZ8+e1ZYtW7Rs2TJJf1+B+ObNm2rbtq327t2rM2fO6Mcff1SnTp0UExMjPz8/ZcyYUbNnz9bp06e1adMm9e/f/x/3PV++fFqxYoUOHTqkw4cP65VXXkl0Vvbf4Ofnp40bN8rJyUlNmjTR0KFD9b///U/vvfeeTbuYmBibi0t5eXlp48aNKl26tIYMGaJGjRpp9erVeu+99zRs2LB425kxY4YCAwPVsmVLa1mWLFn0xRdfaNWqVXrllVdUuXJljRgxIu12FgAAAECKcHhwMuXLl0/79u3TqFGj1KpVK928eVOBgYFq0qSJRo0aZb2A0MyZMzV8+HD17NlTN27cUI4cOTR8+HBJUrZs2bRjxw4NGTJEderUUWRkpHLmzKl69erJwcFBFotFS5cuVZ8+fVS0aFEVKFBA06dPV/Xq1f9R39977z117txZL7zwggICAjRkyJB0vxpwoUKFnnjbnS1btsQry5s3r7788sskbeONN97QG2+8Ea+8UaNGatSoUZLWAQAAACB9WAwn8iEZwsPD5ePjo00lS8vT0THRduX2/fwv9goAAADAvy0uG4SFhcnb2zvNtsPhwQAAAAAAu0VoBQAAAADYLUIrAAAAAMBuEVoBAAAAAHaL0AoAAAAAsFuEVgAAAACA3SK0AgAAAADsFqEVAAAAAGC3CK0AAAAAALtFaAUAAAAA2C1CKwAAAADAbhFaAQAAAAB2i9AKAAAAALBbhFYAAAAAgN0itAIAAAAA7BahFQAAAABgtwitAAAAAAC7RWgFAAAAANgtp/TuAJ5OZbZulre3d3p3AwAAAMB/HDOtAAAAAAC7RWgFAAAAANgtQisAAAAAwG4RWgEAAAAAdovQCgAAAACwW1w9GMlijJEkhYeHp3NPAAAAAKSnuEwQlxHSCqEVyXLjxg1JUlBQUDr3BAAAAIA9uH37tnx8fNJs/YRWJIu/v78k6cKFC2n6wnxWhYeHKygoSBcvXuQ+uKmMsU1bjG/aYWzTFuObthjftMPYpi3GN2mMMbp9+7ayZcuWptshtCJZHBz+Pg3ax8eHN3Aa8vb2ZnzTCGObthjftMPYpi3GN20xvmmHsU1bjO+T/RsTWVyICQAAAABgtwitAAAAAAC7RWhFsri6umrUqFFydXVN7678JzG+aYexTVuMb9phbNMW45u2GN+0w9imLcbXvlhMWl+fGAAAAACAFGKmFQAAAABgtwitAAAAAAC7RWgFAAAAANgtQisAAAAAwG4RWpEke/fuVYMGDeTr6ysPDw9VrFhRy5YtS+9upZs//vhD06ZNU506dZQjRw65uLgoMDBQzZs31549exJcJjw8XP3791fOnDnl6uqq4OBgDRo0SBEREQm2j42N1YwZM1SsWDG5ubkpU6ZMatu2rX7//fdE+/Xjjz+qWrVq8vLykre3t2rUqKGNGzemyj6nt8mTJ8tischisWj37t3x6hnf5Fu5cqVq166tjBkzKkOGDMqVK5fatm2rixcv2rRjbJPOGKMVK1aoRo0aypo1q9zd3VWgQAF17949wf1nbONbvHixunfvrrJly8rV1VUWi0ULFixItL09juHJkyfVqlUrBQQEyM3NTSVKlNDMmTNlD9e+TOr4RkVF6euvv1bHjh1VqFAheXp6ysvLSxUqVNDMmTMVExOT6DY+//xzlS9fXh4eHvLz89PLL7+sAwcOJNo+uZ8xrly5oi5duihr1qzKkCGDChQooPHjxysqKipZY5EWkvv6fdjvv/8uT09PWSwW9ejRI9F2z+r4pmRsz549q65du1r/PmTJkkU1atTQ8uXLE2z/rI7tU8EAT7Bp0ybj7OxsvLy8TNeuXU3//v1Nzpw5jSQzZcqU9O5euhgyZIiRZPLkyWO6dOlihg4dapo3b24cHR2Ng4ODWbp0qU37iIgIU7JkSSPJ1KlTxwwZMsTUqVPHSDLlypUz9+7di7eN//3vf0aSKVKkiBk8eLBp166dcXFxMf7+/ubkyZPx2n/22WdGksmUKZPp1auX6dWrl8mUKZOxWCxm+fLlaTYW/4Zff/3VuLq6Gg8PDyPJ7Nq1y6ae8U2e2NhY061bN+truGfPnmbIkCGmffv2JkeOHOann36ytmVsk6d///5GksmaNavp0aOHGTx4sKlbt66xWCzGy8vL/Prrr9a2jG3C4v6/BAQEWH+eP39+gm3tcQx/++034+PjY1xcXEy7du3M4MGDTZEiRYwk06tXr388Pv9UUsf32LFjRpLx9PQ0jRs3NoMHDzbdu3c32bJlM5LMyy+/bGJjY+MtN27cOCPJ5MyZ0/Tv39907drVeHl5GVdXV7N9+/Z47ZP7GePKlSsmKCjIWCwW06xZMzNkyBBTsWJFI8k0atQowT79m5Lz+n1YTEyMqVKlivX/XPfu3RNs9yyPb3LHdt26dcbd3d24u7ub1q1bm2HDhpkePXqYF154wXTr1i1e+2d5bJ8GhFY8VlRUlMmTJ49xdXU1Bw8etJaHhoaa/PnzGxcXF3Pu3Ln062A6+frrr82WLVvilW/bts04OzsbPz8/c//+fWv5yJEjjSQzZMgQm/Zx4XfChAk25Zs2bTKSTNWqVU1kZKS1fM2aNdYPZw+7efOm8fX1NQEBAebixYvW8osXL5qAgAATEBBgwsPD/9E+p5cHDx6Y0qVLmwoVKph27dolGFoZ3+SZNm2akWR69uxpoqOj49VHRUVZf2Zsk+7KlSvGwcHB5MyZ04SGhtrUvffee0aS6dSpk7WMsU3Y+vXrrf9XJk6c+NgPpvY4hlWrVjWSzJo1a6xlkZGRpkqVKkaS2blzZ9IHIw0kdXwvXbpkPvroIxMREWFTHhERYcqWLWskmWXLltnUnTx50jg5OZn8+fPbvAcOHjxoXF1dTaFChUxMTIy1PCWfMTp06GAkmZkzZ1rLYmNjTZs2bYwks2TJkmSPSWpKzuv3YVOmTDFOTk7m/fffTzS0Puvjm5yxPX/+vPH29jb58uUz58+fj1f/8P85YxjbpwGhFY/1448/xvugFWfBggVGkhkzZkw69Mx+xX3Lv3fvXmPM33+QsmXLZjw9PRP85+/p6Wly585tU962bVsjyWzdujXe+qtXr24k2fwR/uSTTxL9XYwePdpIMgsXLkyN3fvXjRo1yri6uprffvvNdOzYMV5oZXyT5+7du8bPz8/kzp073j/tRzG2ybNr1y4jybzyyivx6k6ePGmdnTKGsU2qx30wtccxPHHihJFkatSoEa/9li1bEv1/ml6SE6oetmTJEiPJvP766zblw4YNS/R1FRISEm/sk/sZIzw83Li6uprcuXPHm5U6d+5comOfXpI6vseOHTMZMmQwI0aMMJs3b040tDK+/+dJY9u9e3cjyWzcuDFJ62Ns7R/ntOKxtmzZIkmqU6dOvLq6detKkrZu3fpvdsnuOTs7S5KcnJwkSadOndLly5dVqVIleXh42LT18PBQpUqV9Pvvv9ucR7hlyxZr3aMSGvf/6u/pwIEDGj9+vEaNGqXChQsn2IbxTZ5169bp1q1batKkiWJiYrRixQpNmjRJs2bN0unTp23aMrbJky9fPrm4uGjHjh0KDw+3qfv+++8lSbVq1ZLE2KYGexzDx7WvXLmyPDw8nuoxj/Po/7k4qTleCbXftWuXIiMjVbt2bVksFpv2OXPmVIECBbRjx47Hnm9rb2JiYtSxY0fly5dPb7311mPbMr5JY4zR8uXLlTFjRtWsWVP79+/Xe++9pylTpmjDhg2KjY2Ntwxja/8IrXisU6dOSfr7w9ijAgMD5enpaW0D6cKFC9qwYYOyZs2qYsWKSXr8GD5cHtfuzp07unLlinLlyiVHR8cntn/SNhJq/zSIjIxUhw4dVLJkSQ0ePDjRdoxv8uzfv1+S5OjoqOLFi6t58+YaNmyYXnvtNRUoUEADBw60tmVskydjxoyaNGmSLly4oIIFC+q1117TkCFDVK9ePQ0ZMkQ9e/ZUr169JDG2qcEex/Bx7R0dHZUrVy6dO3dO0dHRT9g7+zZv3jxJ8T+wnzp1Sp6engoMDIy3THLHK6HPGEn5nT948EDnz59Pzu6kq4kTJ+rAgQOaP3++XFxcHtuW8U2as2fP6ubNm8qVK5f1wk0DBgzQoEGDVLt2bZUtW1aXLl2yWYaxtX+EVjxWWFiYJMnHxyfBem9vb2ubZ11UVJTat2+vyMhITZ482fqhKClj+HC75LZ/0jIJtX8ajBw5UqdOndL8+fMT/IAZh/FNnuvXr0uS3nvvPfn4+Ojnn3/W7du3tW3bNuXPn19Tp07VzJkzJTG2KfHGG29o6dKlioiI0KxZs/TOO+/oxx9/VIUKFfTKK69YZ6YY23/OHscwKduIjY3V7du3E6x/GsyePVtr165VzZo11aBBA5u6sLCwVBvfuGWS2/7Rbdizw4cPa+zYsRo0aJDKlCnzxPaMb9LE/Z87ePCglixZovnz5+vmzZvWKwkfPHhQLVq0sFmGsbV/hFYgFcTGxiokJETbtm1T165d1b59+/Tu0lNt165dmjJlit566y0VLVo0vbvznxJ3WJSLi4u++eYblStXTp6enqpSpYqWL18uBwcHTZ06NZ17+fQaO3as2rVrp+HDh+vixYu6ffu2fvrpJ92/f1/Vq1fXd999l95dBFLs+++/V69evZQzZ04tXrw4vbvzVHvw4IE6duyovHnzatSoUendnf+UuP9zMTExevvttxUSEiI/Pz8FBwdr9uzZqlChgvbs2aPt27enc0+RHIRWPFbcN0KJffMTHh6e6LdGz4rY2Fh17txZS5YsUbt27TRr1iyb+qSM4cPtktv+Scsk1N6eRUdHq2PHjipevLiGDh36xPaMb/LE9bNs2bLKli2bTV3RokWVO3dunTlzRqGhoYxtMm3YsEGjRo1Sr169NHToUGXPnl2enp6qXLmyVq1aJWdnZw0YMEASr9vUYI9jmJRtWCwWeXl5JVhvz9asWaMWLVooS5Ys2rRpk7JmzRqvjY+PT6qNb9wyyW3/6Dbs1cSJE/Xrr79q/vz5cnV1TdIyjG/SPNy/Ro0axatv2LChJGnfvn02yzC29o3Qisd63HlPV69eVURERKLH5z8LYmNj1alTJy1cuFBt27bVggUL5OBg+7Z60rljj57n4OHhoaxZs+rs2bMJnpCf0HkRj9vGk86jsDcRERE6deqUDh06JBcXF1ksFutj4cKFkqTnn39eFotF33zzDeObTAUKFJAk+fr6JlgfV37v3j3GNpnWrl0rSapRo0a8usDAQBUsWFCnT5+2+bvJ2KacPY7h49rHxMTo7NmzypUrV7wLGNm71atXq1mzZgoICNDmzZuVO3fuBNvly5dPERERunr1ary65I5XQp8xkvI7d3FxUY4cOZK4Z+nn4MGDio2NVcWKFW3+z8X9/fjkk09ksVjUpEkT6zKMb9LkyZPHelpRQv/rHv4/F4extX+EVjxWtWrVJP19xdFH/fjjjzZtnjVxgXXRokVq3bq1Pvvss0Qv7pEtWzbt2LFDd+7csam7c+eOduzYoVy5cikoKMhaXq1aNWvdo+LGvWrVqjbtpf/G78nV1VVdunRJ8BH3R79Ro0bq0qWLgoODGd9kivtAdOzYsXh1UVFROn36tDw8PJQpUybGNpkePHggSfrzzz8TrP/zzz/l4OAgZ2dnxjYV2OMYPq799u3bdefOnaduzFevXq3mzZvL399fmzdvVt68eRNtm5rjlVD7ihUrysXFRevXr5cxxqb9+fPndeLECVWqVOmp+FKgdu3aCf6fiztPuGDBgurSpYtq165tXYbxTZoMGTLohRdekCQdPXo0Xn1cWXBwsLWMsX0KpO8dd2DvoqKiTO7cuR978+SzZ8+mW//SS0xMjPWeoS1btnzi/S5HjhxpJJkhQ4bYlA8ZMsRIMhMmTLAp37Rpk5FkqlataiIjI63la9asMZJMnTp1bNrfvHnT+Pj4mICAAHPx4kVr+cWLF01AQIAJCAgw4eHhKd1du5HQfVqNYXyTK+5ewnPmzLEpHzt2rJFk2rVrZy1jbJPuiy++MJJMkSJFbG5Ob4wxM2fONJJMpUqVrGWM7ZM96V6M9jiGVatWNZLMmjVrrGWRkZGmSpUqRpLZsWNHssYgLT1pfNesWWNcXV1NYGCgOX78+BPXd+LECePk5GTy589v8x44ePCgcXV1NYUKFTIxMTHW8pR8xujQoYORZGbOnGkti42Ntd6Dd8mSJUnb+X9BSu6D+7j7tDK+/+dJYxt3L+FatWqZ+/fvW8uPHTtm3N3djZeXl7l586a1nLG1f4RWPNGmTZuMs7Oz8fLyMl27djX9+/c3OXPmNJLMlClT0rt76WLUqFFGkvH09DRvvvmmGTVqVLzHw3/EIiIiTIkSJawfioYOHWoNDuXKlTN3796Nt43//e9/1g/AgwcPNu3btzcuLi7G39/fnDhxIl77zz77zEgymTJlMr169TK9evUymTJlMhaLxSxbtiwth+Nfk1hoZXyT5/Tp0yZz5sxGknnppZfMgAEDTM2aNY0kkzNnTnPlyhVrW8Y26aKjo62BJXPmzOZ///ufGThwoHVs3dzczJ49e6ztGduEzZkzx3Ts2NF07NjRlC5d2hr248oe/rLFHsfwyJEjxsfHx7i4uJj27dubwYMHmyJFihhJplevXqk7WCmQ1PE9duyYcXV1NZJMmzZtEvw/l1BgGDdunPVvSf/+/U3Xrl2Nl5eXcXV1Ndu3b4/XPrmfMS5fvmyCgoKMxWIxzZs3N0OGDDEVK1Y0kkzDhg1NbGxsqo9ZciTn9ZuQx4VWY57t8U3O2MbGxpoWLVoYSaZAgQKmT58+pmPHjsbT09M4ODiYxYsXx1v/szy2TwNCK5Jkz549pl69esbb29u4ubmZ8uXLm6VLl6Z3t9JNXHh63OPRf+ahoaGmX79+JigoyDg7O5scOXKYAQMGJDrTERMTYz744ANTpEgR4+rqajJmzGhat25tTp8+nWi/1q5da6pUqWI8PDyMp6enqVatmlm/fn1q7nq6Siy0GsP4JteFCxdMSEiICQwMNM7OziYoKMi8/vrr5tq1a/HaMrZJd//+fTNx4kRTqlQp4+7ubpycnMxzzz1n2rVrZ44ePRqvPWMb35P+vnbs2NGmvT2O4fHjx02LFi2Mv7+/cXV1NcWKFTMfffSRXXwoTer4xoWnxz2qVauW4DYWL15sypYta9zc3IyPj49p0KCB2b9/f6J9Su5njMuXL5vOnTubLFmyGBcXF5MvXz7z9ttv28yep5fkvn4f9aTQasyzO77JHduoqCjz3nvvWd/r3t7epk6dOmbLli2JbuNZHdungcWYRw6sBgAAAADATnAhJgAAAACA3SK0AgAAAADsFqEVAAAAAGC3CK0AAAAAALtFaAUAAAAA2C1CKwAAAADAbhFaAQAAAAB2i9AKAAAAALBbhFYAAAAAgN0itAIA8BQJCQmRxWLRuXPn0rsrqWLdunWqVKmS/Pz8ZLFY1KRJk/TuEgDAzhBaAQDPpHPnzslischisahu3boJttm9e7csFotCQkL+3c49I86dO6fGjRvr999/V6dOnTRq1Ci1adMmvbsFALAzTundAQAA0tu6deu0adMm1axZM7278kzZsGGD7t+/r6lTp+qVV15J7+4AAOwUM60AgGdacHCwHBwcNGTIEBlj0rs7z5TLly9LkrJly5bOPQEA2DNCKwDgmVagQAG1b99e+/bt07Jly5K0THBwsIKDgxOsq169uiwWi03Z6NGjZbFYtGXLFs2fP1/FihWTm5ubcuXKpenTp0uSjDGaOnWqChQooAwZMihfvnxatGhRon2IjY3VO++8o3z58ilDhgzKlSuXxo4dq6ioqATbb9u2TQ0bNlRAQIBcXV2VL18+vfXWW7p7965Nuy1btshisWj06NHauXOn6tSpI19f33j7lJgjR46oVatWypw5s1xdXZUrVy7169dPN27csLaJOzR71KhRkqQaNWpYD9XesmXLE7fx4MEDvf/++ypXrpy8vLzk6empwoULq3///rp165a13ebNm9W5c2cVKFBAnp6e8vT0VNmyZTV79uwE13vgwAG1aNFCOXLkkKurqzJlyqRy5cpp/Pjx8dpev35db7zxhvLmzStXV1cFBASoefPmOnLkSLy2p06dUqdOnZQrVy65urrK399fJUqUUL9+/fiiBACSgMODAQDPvLFjx2rp0qV666231KxZMzk7O6fJdqZNm6YtW7aocePGqlmzpr7++mv17dtX7u7uOnjwoL7++mu9/PLLqlWrlpYuXaqOHTsqODhYVatWjbeufv36aceOHWrVqpU8PT21atUqjRo1Sr/88ou++uorm7YzZ87U66+/Ll9fXzVs2FCZM2fWvn37NH78eG3evFmbN2+Wi4uLzTI7d+7UhAkTVKNGDXXr1k0XLlx44v5t375ddevW1YMHD9SiRQsFBwdr165d+uCDD/T9999r9+7dCggIkK+vr0aNGqUtW7Zo69at1v2UlOiXAXHu3bun2rVra8eOHcqXL586deokV1dXnTp1Sp988ok6dOggPz8/SdLkyZN1+vRpVaxYUU2bNlVoaKh++OEHde/eXSdOnNDUqVOt6z106JBeeOEFOTo6qnHjxsqZM6dCQ0N19OhRzZ49W2+++aa17ZkzZ1S9enVdunRJderUUZMmTXT9+nV9/fXX+vHHH7Vx40ZVqFBB0t+zyeXLl9edO3f00ksvqXXr1rpz545OnTqljz/+WFOmTJGTEx/HAOCxDAAAz6CzZ88aSaZu3brGGGMGDhxoJJkZM2ZY2+zatctIMh07drRZNmfOnCZnzpwJrrdatWrm0X+vo0aNMpKMv7+/OXPmjLX8woULxsXFxfj4+Jj8+fOb69evW+t2795tJJmGDRvarKtjx45GksmUKZO5ePGitTwyMtJUrVrVSDJfffWVtfy3334zTk5OpkSJEuavv/6yWdfEiRONJDNlyhRr2ebNm40kI8nMmzcvwX1MSExMjMmTJ4+RZH744QebukGDBhlJpnPnzgmOy+bNm5O8nQEDBhhJpn379iY6OtqmLjQ01Ny+fdv6/Pfff4+3fFRUlKldu7ZxdHQ058+ft5b379/fSDLffPNNvGUeHbcXXnjBODo6xtvPEydOGC8vL1OsWDFr2fTp040kM23atHjrvXHjxhP2FgBgjDEcHgwAgKThw4fL19dXb7/9tiIiItJkG3379lXu3Lmtz4OCglS5cmWFhYXpzTffVKZMmax1FSpUUO7cuXX48OFE15U9e3brcxcXF+thrAsWLLCWf/LJJ4qOjtaMGTOUMWNGm3UMHjxYmTJl0hdffBFv/aVLl1anTp2SvG87duzQmTNnVL9+/XhXYx45cqT8/f21ZMkSPXjwIMnrfFR0dLRmz54tHx8fffDBB3J0dLSp9/Hxkaenp/V5rly54q3DyclJPXr0UExMjDZv3hyv3s3NLV7Zw+N28OBB7dy5Ux07doy3n/nz51fXrl3166+/xjtMOKH1+vv7J7KnAICHcTwKAACS/Pz8NHToUA0dOlRTpkzR6NGjU30bJUuWjFeWNWvWx9bt2bMnwXVVqVIlXtnzzz8vJycnHTx40Fq2e/duSbIetvooZ2dnHT9+PF55uXLlEtxuYuK2Wb169Xh1ceeSrlu3TidOnFCxYsWSte44x48f1+3bt/Xiiy9aDwF+nNu3b2vKlCn65ptvdObMGd25c8emPu5CUJLUqlUrTZs2TU2bNlXr1q1Vu3ZtVa1aVc8995zNMnHjee3atQRfI3Fjefz4cRUtWlQNGzbUsGHD9Prrr2vjxo2qV6+eqlWrZvPlBQDg8QitAAD8f3369NGHH36oqVOnqmfPnqm+fm9v73hlceczJlYXHR2d4LqyZMkSr8zR0VEZM2ZUWFiYtezmzZuSlODFhB4nofU/Tnh4+GOXiwvnce1SIm6/Hg2SCXnw4IGqV6+uAwcOqFSpUmrfvr0yZswoJycnnTt3TgsXLlRkZKS1fYUKFbRlyxZNmDBBS5Ys0fz58yX9Hd4nT56sGjVqSPq/8Vy9erVWr16d6PbjAnJwcLB2796t0aNHa82aNdaLfRUsWFBjx45Vy5YtUzASAPBs4fBgAAD+Pzc3N40ZM0YREREaM2ZMou0cHBwSDZMPB8a0dO3atXhlMTExunHjhnx8fKxlcWE4PDxcxphEH49K6tWCH91OQv2SpKtXr9q0SwlfX19J0h9//PHEtt9++60OHDigLl266MCBA5o5c6bGjRun0aNHq169egkuU6VKFa1du1a3bt3S5s2b1b9/f/3666966aWX9Pvvv9v0f8aMGY8dz44dO1rXW7RoUX311Ve6efOmdu3apZEjR+rq1atq3bq1duzYkeLxAIBnBaEVAICHdOzYUUWKFNGcOXN0+vTpBNv4+fnp+vXr8YJr3FVh/w0//fRTvLJdu3YpOjpapUqVspbFXcU27rDWtBK3zYRuWXPnzh3t27dPbm5uKlCgQIq3UaBAAXl7e2vv3r02t7ZJyJkzZyRJjRs3jleX0Ng9zM3NTdWrV9fUqVM1fPhw3bt3T+vXr5f0f+O5a9euZPff2dlZFStW1JgxYzR9+nQZY/T9998nez0A8KwhtAIA8BBHR0dNmDBBUVFRiZ7XWq5cOUVFRenzzz+3lhljNGzYsHjnTaaVDz74QJcuXbI+f/DggfW2LCEhIdbynj17ysnJSb17907wtjWhoaE258CmVKVKlZQnTx6tXbtWGzZssKkbN26cbty4obZt28a7tU5yODk5qXv37goLC1Pfvn0VExNjUx8WFma9iFbOnDkl/X0bnodt3bpVc+bMibfuXbt26f79+/HK42aOM2TIIEkqX768Kvy/9u4fJLk9juP45+aQUSREEUWY5tCQkLQ8QSI0RUKB/W9rKEgIosHBaIimeghxiCgKDCwkagiMkKRSK7KgWiJwaXBtKVpqqTtcbvA89QwPXS6He9+v7XC+nHN0e8P5/c63b4rFYtrc3Pww//r6qnQ6/X58eXn56SvRP18XAPBrrGkFAOAnnZ2dcrvdH4Lnb2NjY4pEIhoeHlYymVRFRYWOj4/18PCgxsbGX+74+09qbm5WY2Oj+vv7VVxcrHg8rlwup66uLnV3d7/POZ1OLS4uyu/3q76+Xl6vVw6HQ09PT7q7u1M6ndbQ0JCWlpa+9DwFBQVaW1tTW1ubvF6vent7VVtbq7OzM6VSKTkcDs3Ozn71Z2tmZkbZbFbRaFTZbFbt7e0qLCzU3d2dEomETk5O5HK51NHRIZvNpu/fv+vm5kZOp1O5XE67u7vy+XwfvmU7Nzeno6MjeTwe2e12mc1mXV1d6eDgQHV1dfL5fO+zsVhMra2tGhgYUDgcVlNTk4qKipTP53V2dqb7+/v3AI5Go1peXpbH45HD4VBpaalub2+1t7ensrKy39qhGQD+r4hWAAA+MTc3p5aWlk/POZ1OJRIJBYNBbW9vq6SkRF6vV/Pz8+rr6/tXni8cDmtra0urq6vK5/OqqqrS9PS0gsHgh9mRkRG5XC6FQiFlMhnF43FZLBZZrVZNTEz8sP7yK9xut7LZrGZmZrS/v6/Hx0dVV1drfHxcU1NTKi8v//I9zGazksmkFhYWtL6+rpWVFZlMJlmtVo2Ojspms0n6a8fiw8NDBQIBZTIZpVIpNTQ0aGNjQ5WVlR+i1e/3y2Kx6Pz8XOl0Wm9vb7JarZqcnNTExMQPa3Htdruur68VCoW0s7OjSCQik8mkqqoqeTwe9fT0vM8ODg7q+flZp6enuri40MvLi2pqauT3+xUIBGS1Wr/8nwDAf90fb5/tvgAAAAAAgAGwphUAAAAAYFhEKwAAAADAsIhWAAAAAIBhEa0AAAAAAMMiWgEAAAAAhkW0AgAAAAAMi2gFAAAAABgW0QoAAAAAMCyiFQAAAABgWEQrAAAAAMCwiFYAAAAAgGERrQAAAAAAw/oTtAItearHx/wAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`education_of_employee`"
      ],
      "metadata": {
        "id": "GDHhH9Yia7AN"
      },
      "id": "GDHhH9Yia7AN"
    },
    {
      "cell_type": "code",
      "source": [
        "labeled_barplot(data=df, feature='education_of_employee', perc=True, \n",
        "                title='Number of cases by education of the employee', \n",
        "                xlabel='Education of the employee');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "5jfkMFgpZd87",
        "outputId": "829eb6a9-7d94-469b-d121-9befbe0bc066"
      },
      "id": "5jfkMFgpZd87",
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`has_job_experience`"
      ],
      "metadata": {
        "id": "lWIfY5Bya7kF"
      },
      "id": "lWIfY5Bya7kF"
    },
    {
      "cell_type": "code",
      "source": [
        "labeled_barplot(data=df, feature='has_job_experience', orient='h', perc=True, \n",
        "                title='Number of cases by job experience', \n",
        "                xlabel='Does the employee has any job experience?');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "mR8yufLiZd_z",
        "outputId": "0346671d-fe98-407d-abeb-6bdb04a994b7"
      },
      "id": "mR8yufLiZd_z",
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`requires_job_training`"
      ],
      "metadata": {
        "id": "LN37ufIZa8L2"
      },
      "id": "LN37ufIZa8L2"
    },
    {
      "cell_type": "code",
      "source": [
        "labeled_barplot(data=df, feature='requires_job_training', orient='h', perc=True, \n",
        "                title='Number of cases by job training requirement', \n",
        "                xlabel='Does the employee require any job training?');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "RkLiBxHrZeCi",
        "outputId": "7b7e3a56-c2c1-46eb-db2e-5825dd94dcfe"
      },
      "id": "RkLiBxHrZeCi",
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`no_of_employees`"
      ],
      "metadata": {
        "id": "KPJE02wFa853"
      },
      "id": "KPJE02wFa853"
    },
    {
      "cell_type": "code",
      "source": [
        "histogram_boxplot(df, 'no_of_employees', xlabel=\"Number of employees in the employer's company\", step=100000, fmt='{:,.0f}');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "id": "81_uUKGWd42c",
        "outputId": "183d223a-0f3e-4632-ee73-8ffc61a8f0f4"
      },
      "id": "81_uUKGWd42c",
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# it seems that log-transformation may improve visualization of the `no_of_employees` variable\n",
        "df1 = df.copy()\n",
        "df1['no_of_employees_log'] = np.log(df['no_of_employees'])\n",
        "histogram_boxplot(df1, 'no_of_employees_log', xlabel=\"Log of number of employees in the employer's company\", step=1, fmt='{:,.0f}');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "id": "kRnksjNYZeFb",
        "outputId": "5439a84d-d6ad-444e-dddc-bf325fb5c005"
      },
      "id": "kRnksjNYZeFb",
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`yr_of_estab`"
      ],
      "metadata": {
        "id": "X8oDGfNOa9j4"
      },
      "id": "X8oDGfNOa9j4"
    },
    {
      "cell_type": "code",
      "source": [
        "histogram_boxplot(df, 'yr_of_estab', \n",
        "                  title=\"Number of cases  by the year in which the employer's company was established\", \n",
        "                  xlabel='Year', step=5, fmt='{:.0f}', rotation=90);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 540
        },
        "id": "oCUy2AwSZeIf",
        "outputId": "062f9af1-a219-4192-c2aa-d81e612d3096"
      },
      "id": "oCUy2AwSZeIf",
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`region_of_employment`"
      ],
      "metadata": {
        "id": "9gKN-O5Ua-KA"
      },
      "id": "9gKN-O5Ua-KA"
    },
    {
      "cell_type": "code",
      "source": [
        "labeled_barplot(data=df, feature='region_of_employment', orient='h', perc=True, \n",
        "                title=\"Foreign workers' intended US employment region\", xlabel='US employment region');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "ByZNbVIbbOBP",
        "outputId": "fcc2432e-431d-418e-913c-d83a2ef9f705"
      },
      "id": "ByZNbVIbbOBP",
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`prevailing_wage`"
      ],
      "metadata": {
        "id": "PeIKndS8bOKX"
      },
      "id": "PeIKndS8bOKX"
    },
    {
      "cell_type": "code",
      "source": [
        "histogram_boxplot(df, 'prevailing_wage', title='Average salary for the same job in the intended area', \n",
        "                  xlabel='Average salary', step=10000, fmt='{:,.0f}', rotation=90);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 562
        },
        "id": "FJfmhzbTbORo",
        "outputId": "9c53678c-dd06-415c-f941-87bd47acbfba"
      },
      "id": "FJfmhzbTbORo",
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **Note**: *Please refer to the chart of `prevailing_wage` by `unit_of_wage` below. It is possible that some wages below $10,000 may be due to measurement issues.*"
      ],
      "metadata": {
        "id": "mpbh2asKkPUO"
      },
      "id": "mpbh2asKkPUO"
    },
    {
      "cell_type": "markdown",
      "source": [
        "`unit_of_wage`"
      ],
      "metadata": {
        "id": "eeKs0Fx1bOZI"
      },
      "id": "eeKs0Fx1bOZI"
    },
    {
      "cell_type": "code",
      "source": [
        "labeled_barplot(data=df, feature='unit_of_wage', orient='h', perc=True, title=\"Unit of prevailing wage\", \n",
        "                xlabel='Unit of measurement');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "FqU0tA4TbOfI",
        "outputId": "c9432678-f124-4f0b-dfc5-663525aa1ac9"
      },
      "id": "FqU0tA4TbOfI",
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`full_time_position`"
      ],
      "metadata": {
        "id": "5vHSPRrqbOlQ"
      },
      "id": "5vHSPRrqbOlQ"
    },
    {
      "cell_type": "code",
      "source": [
        "labeled_barplot(data=df, feature='full_time_position', orient='h', perc=True, \n",
        "                title='Number of cases by type of employment', \n",
        "                xlabel='Is the position of work full-time?');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "_n9AMTLYbOsP",
        "outputId": "def1d931-5cd3-4fc7-ba0e-7078ebff7a92"
      },
      "id": "_n9AMTLYbOsP",
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`case_status`"
      ],
      "metadata": {
        "id": "KvnbGc1PbO0_"
      },
      "id": "KvnbGc1PbO0_"
    },
    {
      "cell_type": "code",
      "source": [
        "labeled_barplot(data=df, feature='case_status', orient='h', perc=True, \n",
        "                title='Number of cases by the Visa status', xlabel='Case status');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "_Kfo5Il9bYNk",
        "outputId": "fa82d527-99a9-4524-a154-9d7f046df376"
      },
      "id": "_Kfo5Il9bYNk",
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "id": "classified-traveler",
      "metadata": {
        "id": "classified-traveler"
      },
      "source": [
        "**Observations**:\n",
        "* More than 66% of cases involve employees from Asia\n",
        "* Out of the companies in the dataset, 75% of them have a workforce of 3504 employees or fewer, while the largest company in the dataset employs 602,069 people.\n",
        "* Although there are many cases with a prevailing wage close to 0, the mean and median prevailing wage is around 70,000.\n",
        "* The most prevalent education level among employees in the dataset is a Bachelor's degree(40.2%), followed closely by a Master's degree (37.8%).\n",
        "* About 58% of cases in the dataset are from employees with prior job experience.\n",
        "* About 88% of cases in the dataset are from employees who do not require any job training.\n",
        "* About 89% of cases in the dataset are from employees who are seeking full-time job.\n",
        "* The distribution of cases is generally similar across most regions, except for the `Island` region which has significantly fewer cases than the others. The `Midwest` region also has a slightly lower number of cases than the `Northeast`, `South`, and `West` regions.\n",
        "* The 'Year' value is the most common in the 'unit_of_wage' column for most rows in the dataset.\n",
        "* About two-thirds (67%) of the cases in the dataset were certified."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Bivariate Analysis"
      ],
      "metadata": {
        "id": "WIhk8AYJsyIo"
      },
      "id": "WIhk8AYJsyIo"
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Pairplot of continuous numerical variables**"
      ],
      "metadata": {
        "id": "qYx2vMrVtG_4"
      },
      "id": "qYx2vMrVtG_4"
    },
    {
      "cell_type": "code",
      "source": [
        "sns.pairplot(df, hue='case_status');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 758
        },
        "id": "23ReeMzFsxnZ",
        "outputId": "8090f0ae-3ae5-441e-c614-465abf2024af"
      },
      "id": "23ReeMzFsxnZ",
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 859.625x750 with 12 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Correlation heatmap**"
      ],
      "metadata": {
        "id": "wZS_YQjWub0Q"
      },
      "id": "wZS_YQjWub0Q"
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8, 6))\n",
        "sns.heatmap(pd.concat([df, pd.Series((df['case_status'] == 'Certified').astype(int))], axis=1).corr(),\n",
        "            annot=True, vmin=-1, vmax=1, fmt=\".2f\", cmap=\"Spectral\")\n",
        "plt.xlabel('')\n",
        "plt.ylabel('')\n",
        "plt.title('Correlation heatmap representing the correlation\\nbetween numeric variables of the dataset',\n",
        "          fontsize=16)\n",
        "plt.show();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 570
        },
        "id": "tOhE-OlHub9L",
        "outputId": "a4001e36-de3f-4c30-ecf2-6b4934e379db"
      },
      "id": "tOhE-OlHub9L",
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Note**: *We observe little to no correlation among independent variables, as well as between independent variables and the dependent variable.*"
      ],
      "metadata": {
        "id": "nkfk7oz4vQim"
      },
      "id": "nkfk7oz4vQim"
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Leading Questions**:\n",
        "\n",
        "**Q1.** Those with higher education may want to travel abroad for a well-paid job. Does education play a role in Visa certification? "
      ],
      "metadata": {
        "id": "OFm29LoLY-9b"
      },
      "id": "OFm29LoLY-9b"
    },
    {
      "cell_type": "code",
      "source": [
        "stacked_barplot(data, \"education_of_employee\", \"case_status\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 613
        },
        "id": "wjyiN4uOY9gj",
        "outputId": "85a8c74a-45a2-4446-a8a4-e6cf14066a0e"
      },
      "id": "wjyiN4uOY9gj",
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "case_status            Certified  Denied    All\n",
            "education_of_employee                          \n",
            "All                        17018    8462  25480\n",
            "Bachelor's                  6367    3867  10234\n",
            "High School                 1164    2256   3420\n",
            "Master's                    7575    2059   9634\n",
            "Doctorate                   1912     280   2192\n",
            "------------------------------------------------------------------------------------------------------------------------\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**A1:** Level of education appears to be a significant factor in Visa certification, with higher levels of education associated with a greater likelihood of Visa certification"
      ],
      "metadata": {
        "id": "OuP_oW4mxP2N"
      },
      "id": "OuP_oW4mxP2N"
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Q2.** How does the visa status vary across different continents? "
      ],
      "metadata": {
        "id": "rcwlM2lyvsFf"
      },
      "id": "rcwlM2lyvsFf"
    },
    {
      "cell_type": "code",
      "source": [
        "stacked_barplot(data, \"continent\", \"case_status\");"
      ],
      "metadata": {
        "id": "52ipjdEZvsVJ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 650
        },
        "outputId": "aa696cf5-9780-421c-bc53-d0ad6d63a99e"
      },
      "id": "52ipjdEZvsVJ",
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "case_status    Certified  Denied    All\n",
            "continent                              \n",
            "All                17018    8462  25480\n",
            "Asia               11012    5849  16861\n",
            "North America       2037    1255   3292\n",
            "Europe              2957     775   3732\n",
            "South America        493     359    852\n",
            "Africa               397     154    551\n",
            "Oceania              122      70    192\n",
            "------------------------------------------------------------------------------------------------------------------------\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1100x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**A2.** Europe, Africa, and Asia have the highest rates of visa certification, in that order, with Oceania, North America, and South America following closely behind with a slight decrease in certification rates for each successive region."
      ],
      "metadata": {
        "id": "aK2VCOITxcG1"
      },
      "id": "aK2VCOITxcG1"
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Q3.** Experienced professionals might look abroad for opportunities to improve their lifestyles and career development. Does work experience influence visa status?"
      ],
      "metadata": {
        "id": "6Av5q5L7vsdA"
      },
      "id": "6Av5q5L7vsdA"
    },
    {
      "cell_type": "code",
      "source": [
        "stacked_barplot(data, \"has_job_experience\", \"case_status\");"
      ],
      "metadata": {
        "id": "2tgnWwnEvsjZ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 576
        },
        "outputId": "ff825eea-e58c-491f-c0ed-15f93546176d"
      },
      "id": "2tgnWwnEvsjZ",
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "case_status         Certified  Denied    All\n",
            "has_job_experience                          \n",
            "All                     17018    8462  25480\n",
            "N                        5994    4684  10678\n",
            "Y                       11024    3778  14802\n",
            "------------------------------------------------------------------------------------------------------------------------\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**A3.** From the data, it is evident that those who have work experience are certified at a higher rate."
      ],
      "metadata": {
        "id": "Ap-pRsj0eam7"
      },
      "id": "Ap-pRsj0eam7"
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Q4.** In the United States, employees are paid at different intervals. Which pay unit is most likely to be certified for a visa?"
      ],
      "metadata": {
        "id": "QhKo8AxAvspv"
      },
      "id": "QhKo8AxAvspv"
    },
    {
      "cell_type": "code",
      "source": [
        "stacked_barplot(data, \"unit_of_wage\", \"case_status\");"
      ],
      "metadata": {
        "id": "iOrZHBzdvsv5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 613
        },
        "outputId": "0047e743-afae-43ff-90bc-a7ab5ed28ddf"
      },
      "id": "iOrZHBzdvsv5",
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "case_status   Certified  Denied    All\n",
            "unit_of_wage                          \n",
            "All               17018    8462  25480\n",
            "Year              16047    6915  22962\n",
            "Hour                747    1410   2157\n",
            "Week                169     103    272\n",
            "Month                55      34     89\n",
            "------------------------------------------------------------------------------------------------------------------------\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**A4.** It appears that employees who are paid on a yearly-unit basis have a greater chance of being certified for a Visa, while those who are paid hourly-unit are more likely to be denied."
      ],
      "metadata": {
        "id": "8ntSc7xFerk9"
      },
      "id": "8ntSc7xFerk9"
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Q5.** The US government has established a prevailing wage to protect local talent and foreign workers. How does the visa status change with the prevailing wage?"
      ],
      "metadata": {
        "id": "I0xVor9Svs1n"
      },
      "id": "I0xVor9Svs1n"
    },
    {
      "cell_type": "code",
      "source": [
        "distribution_plot_wrt_target(data, 'prevailing_wage', 'case_status') "
      ],
      "metadata": {
        "id": "Q9jt7z7ovs9A",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "a0f7681a-475d-4bca-e1ee-3773e4e9b154"
      },
      "id": "Q9jt7z7ovs9A",
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1000 with 4 Axes>"
            ],
            "image/png": 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AcXDo0CFVrFgx17E77rhDhw4dkp+fXxFnBQAAULxRQwEoDJpSAIqttLQ02Wy2InmtkJCQPMdsNtsVxwEAAIoTaigAJQWX7wEoMm3btlVUVJSioqLk5+enwMBAjRw5UsYYSdINN9ygcePGqVevXvL19VW/fv0kSatWrVKrVq3k5eWl6tWr67nnntPZs2clSa+88opatGiR47WaNGmisWPHSpJ+/vln/e1vf1NgYKD8/PzUpk0bbdy40SH+0lPPL3f5qeczZsyQv7+/Fi5cqHr16snHx0cdO3bUoUOH7M/JyMjQc889J39/f1WqVEnDhg1T79691bVr16vO03fffSd/f39lZmZKkuLj42WxWPTyyy/bY5588kk9+uijkqTjx4/r4YcfVtWqVeXt7a1GjRrpP//5j8MxT58+rZ49e6p8+fKqUqWKJk6cqLZt22rQoEH2mNTUVL344ouqWrWqypcvrxYtWmjZsmVXzRcAAFxf1FDUUEBpRVMKQJGaOXOmypUrp3Xr1ik6OlrvvfeePv30U/v4O++8oyZNmmjTpk0aOXKk9uzZo44dO6pbt27asmWLvvjiC61atUpRUVGSpJ49e2rdunXas2eP/Rjbt2/Xli1b9Mgjj0i6UEz07t1bq1at0k8//aTatWurc+fOOn36dIHfx7lz5/TOO+/o888/14oVK7Rv3z69+OKL9vG33npLs2bN0vTp07V69WolJyfnWbBdrlWrVjp9+rQ2bdokSVq+fLkCAwMdipvly5erbdu2kqSUlBSFh4dr/vz52rZtm/r166fHHntM69ats8cPGTJEq1ev1jfffKPY2FitXLkyR1EZFRWluLg4zZkzR1u2bFH37t3VsWNH/frrrwWbJAAA4DTUUFdHDQWUQAYAikibNm1MvXr1TFZWln3fsGHDTL169YwxxtSsWdN07drV4Tl9+/Y1/fr1c9i3cuVKY7Vazfnz540xxjRp0sSMHTvWPj58+HDTokWLPPPIzMw0FSpUMN9++619nyQzd+5cY4wxe/fuNZLMpk2bjDHGLF261EgyJ0+eNMYYM336dCPJ7N692/78KVOmmODgYPvj4OBg8/bbb9sfZ2RkmBo1aph77703z7wudeutt9qf37VrV/PPf/7T2Gw2c/r0aXPgwAEjyfzyyy95Pr9Lly7mhRdeMMYYk5ycbNzd3U1MTIx9/NSpU8bb29s8//zzxhhj/vjjD+Pm5mb+/PNPh+O0a9fODB8+PF85AwCA64MaihoKKK04UwpAkbr99ttlsVjsjyMiIvTrr7/aT7Nu1qyZQ/zmzZs1Y8YM+fj42LfIyEhlZWVp7969ki78pm/27NmSJGOM/vOf/6hnz572Yxw+fFhPPfWUateuLT8/P/n6+urMmTPat29fgd+Ht7e3brrpJvvjKlWq6MiRI5KkpKQkHT58WM2bN7ePu7m5KTw8PN/Hb9OmjZYtWyZjjFauXKn7779f9erV06pVq7R8+XKFhoaqdu3akqTMzEyNGzdOjRo1UkBAgHx8fLRw4UL7+/vtt9+Unp7ukI+fn5/q1Kljf7x161ZlZmbq5ptvdpjr5cuXO/wGFQAAuAY1VP5QQwElCwudAyhWypcv7/D4zJkzevrpp/Xcc8/liK1Ro4Yk6eGHH9awYcO0ceNGnT9/Xvv379dDDz1kj+vdu7eOHz+u6Oho1axZUx4eHoqIiFBaWlqB83R3d3d4bLFY7Os6OEPbtm312WefafPmzXJ3d1fdunXVtm1bLVu2TCdPnlSbNm3ssW+//baio6M1adIkNWrUSOXLl9egQYOu6f2dOXNGbm5u2rBhg9zc3BzGfHx8nPa+AADA9UENdQE1FFCy0JQCUKTWrl3r8Dh7fYLLP8Sz3XrrrUpISFCtWrXyPGa1atXUpk0bzZo1S+fPn9ff/vY3BQUF2cdXr16tDz/8UJ07d5Yk7d+/X8eOHXPCu8mdn5+fgoOD9fPPP6t169aSLvwmbuPGjWratGm+jpG9JsLEiRPtxVPbtm315ptv6uTJk3rhhRfssatXr9a9995rX7QzKytLv/zyi+rXry9JuvHGG+Xu7q6ff/7ZXoQmJSXpl19+sed3yy23KDMzU0eOHFGrVq2cMg8AAMB5qKGa5usY1FBAycLlewCK1L59+zRkyBDt2rVL//nPf/TBBx/o+eefzzN+2LBhWrNmjaKiohQfH69ff/1VX3/9tX2Rzmw9e/bUnDlzFBMT43DauSTVrl1bn3/+uXbs2KG1a9eqZ8+e8vLyui7vL9vAgQM1fvx4ff3119q1a5eef/55nTx50uG0+yupWLGiGjdurFmzZtkX42zdurU2btyoX375xeG3fLVr11ZsbKzWrFmjHTt26Omnn9bhw4ft4xUqVFDv3r310ksvaenSpdq+fbv69u0rq9Vqz+fmm29Wz5491atXL/3vf//T3r17tW7dOo0fP17z58933sQAAIACoYaihgJKI5pSAIpUr169dP78eTVv3lwDBgzQ888/b79tcW4aN26s5cuX65dfflGrVq10yy23aNSoUQoNDXWIe+CBB3T8+HGdO3cuxy2D//Wvf+nkyZO69dZb9dhjj+m5555z+C3g9TBs2DA9/PDD6tWrlyIiIuzrOHh6eub7GG3atFFmZqa9oAoICFD9+vUVEhLisJbBiBEjdOuttyoyMlJt27ZVSEhIjjl47733FBERoXvuuUft27dXy5YtVa9ePYd8pk+frl69eumFF15QnTp11LVrV4ffDAIAANehhqKGAkoji3HmBbwAcAVt27ZV06ZNNWnSJFenUuSysrJUr149Pfjggxo3bpyr09HZs2dVtWpVvfvuu+rbt6+r0wEAAFdADUUNBZRWrCkFANfBH3/8oUWLFqlNmzZKTU3V5MmTtXfvXj3yyCMuyWfTpk3auXOnmjdvrqSkJI0dO1aSdO+997okHwAAgNxQQwFlC00pALgOrFarZsyYoRdffFHGGDVs2FA//vij6tWrp3379tkX0MxNQkLCdTnd+5133tGuXbtks9kUHh6ulStXKjAw0OmvAwAAUFDUUEDZwuV7AFDEMjIy9Pvvv+c5fsMNN6hcOX5nAAAAcClqKKD0oSkFAAAAAACAIsfd9wAAAAAAAFDkaEoBAAAAAACgyNGUAgAAAAAAQJGjKQUAAAAAAIAiR1MKAAAAAAAARY6mFAAAAAAAAIocTSkAAAAAAAAUOZpSAAAAAAAAKHI0pQAAAAAAAFDkaEoBAAAAAACgyNGUAgAAAAAAQJGjKQUAAAAAAIAiR1MKAAAAAAAARY6mFIASy2Kx6LXXXnN1GgAAoBgo6rrg2Wef1d/+9rdCH+e1116TxWK5pthjx44V+nVLkxkzZshisej333+372vbtq3atm1b5LksWLBAPj4+Onr0aJG/NlAS0ZQCkEP2B/ulW1BQkO666y798MMPrk6v0BISEvTaa685FC7Fyffff39NRfWHH36oGTNmXLd8nK2k5QsAZR11QU579+7Vp59+qldeeeW65PTGG29o3rx51+XYBVUc6qfiOC+X69ixo2rVqqXx48e7OpVcUWeiuKEpBSBPY8eO1eeff65///vfGjp0qI4eParOnTvru+++c3VqhZKQkKAxY8YU66bUmDFj8h1f0j58S1q+AIALqAsuio6OVlhYmO66665Cv/6IESN0/vx5h33FsflSHOqna5mXRYsWadGiRdc3oTw8/fTT+uijj3T69GmXvP6VUGeiuKEpBSBPnTp10qOPPqrHHntML774olauXCl3d3f95z//cXVqpUJKSoqysrJcnUauinNuAADXoC64ID09XbNmzdKDDz7olOOVK1dOnp6eTjkWLrLZbLLZbE45VlZWllJSUvId361bN6WmpiomJsYpr18QxbmWK865oejRlAKQb/7+/vLy8lK5cuUc9p89e1YvvPCCqlevLg8PD9WpU0fvvPOOjDGSpPPnz6tu3bqqW7euw28CT5w4oSpVquiOO+5QZmamJOnxxx+Xj4+PfvvtN0VGRqp8+fIKDQ3V2LFj7ce7kk2bNqlTp07y9fWVj4+P2rVrp59++sk+PmPGDHXv3l2SdNddd9kvQ1i2bFmux/vmm29ksVi0ZcsW+77//ve/slgsuv/++x1i69Wrp4ceeijX4yxbtkwWi0Vz5szRiBEjVLVqVXl7eys5Odkh7vHHH9eUKVMkyeEyibzccMMN2r59u5YvX26PzV4/4cSJE3rxxRfVqFEj+fj4yNfXV506ddLmzZuvKbeYmBjVr19fnp6eatiwoebOnavHH39cN9xwg8NxsrKyNGnSJDVo0ECenp4KDg7W008/rZMnT+YrXwBAyVIW6wJJWrVqlY4dO6b27dvb9xljFBgYqCFDhtj3ZWVlyd/fX25ubjp16pR9/1tvvaVy5crpzJkzknKuKWWxWHT27FnNnDnTns/jjz/ukMOpU6f0+OOPy9/fX35+fnriiSd07tw5h5iMjAyNGzdON910kzw8PHTDDTfolVdeUWpqqkNcXmtx3XDDDfbXLcg8SdKSJUvUqlUrlS9fXv7+/rr33nu1Y8cOh5jcaoqCzsulcltTKjU1VaNHj1atWrXk4eGh6tWra+jQobnOSVRUlGbNmqUGDRrIw8NDCxYskCTNmTNH4eHhqlChgnx9fdWoUSNFR0c7PD8oKEiNGzfW119/fcX5oc6kzoRU7uohAMqqpKQkHTt2TMYYHTlyRB988IHOnDmjRx991B5jjNE//vEPLV26VH379lXTpk21cOFCvfTSS/rzzz81ceJEeXl5aebMmWrZsqVeffVVvffee5KkAQMGKCkpSTNmzJCbm5v9mJmZmerYsaNuv/12TZgwQQsWLNDo0aOVkZGhsWPH5pnv9u3b1apVK/n6+mro0KFyd3fXRx99pLZt22r58uVq0aKFWrdureeee07vv/++XnnlFdWrV0+S7H9e7s4775TFYtGKFSvUuHFjSdLKlStltVq1atUqe9zRo0e1c+dORUVFXXFOx40bJ5vNphdffFGpqak5foP39NNP6+DBg4qNjdXnn39+xWNJ0qRJkzRw4ED5+Pjo1VdflSQFBwdLkn777TfNmzdP3bt3V1hYmA4fPqyPPvpIbdq0UUJCgkJDQ6+a2/z58/XQQw+pUaNGGj9+vE6ePKm+ffuqatWqOXJ5+umnNWPGDD3xxBN67rnntHfvXk2ePFmbNm3S6tWr5e7ufsV8AQDFG3XBBWvWrJHFYtEtt9xi32exWNSyZUutWLHCvm/Lli1KSkqS1WrV6tWr1aVLF0kX6ohbbrlFPj4+uR7/888/15NPPqnmzZurX79+kqSbbrrJIebBBx9UWFiYxo8fr40bN+rTTz9VUFCQ3nrrLXvMk08+qZkzZ+qBBx7QCy+8oLVr12r8+PHasWOH5s6dm+f7y01B5unHH39Up06ddOONN+q1117T+fPn9cEHH6hly5bauHFjro2oK8nPvFxJVlaW/vGPf2jVqlXq16+f6tWrp61bt2rixIn65ZdfclwWuGTJEn355ZeKiopSYGCgbrjhBsXGxurhhx9Wu3bt7HO9Y8cOrV69Ws8//7zD88PDw696qSF1JnUmJBkAuMz06dONpBybh4eHmTFjhkPsvHnzjCTz+uuvO+x/4IEHjMViMbt377bvGz58uLFarWbFihUmJibGSDKTJk1yeF7v3r2NJDNw4ED7vqysLNOlSxdjs9nM0aNH7fslmdGjR9sfd+3a1dhsNrNnzx77voMHD5oKFSqY1q1b2/dlv/bSpUvzNR8NGjQwDz74oP3xrbfearp3724kmR07dhhjjPnf//5nJJnNmzfneoylS5caSebGG280586du+LrDRgwwFzLP88NGjQwbdq0ybE/JSXFZGZmOuzbu3ev8fDwMGPHjs1Xbo0aNTLVqlUzp0+ftu9btmyZkWRq1qxp37dy5UojycyaNcvh+QsWLMixP698AQDFE3WBo0cffdRUqlQpx/63337buLm5meTkZGOMMe+//76pWbOmad68uRk2bJgxxpjMzEzj7+9vBg8ebH/e6NGjc3zuly9f3vTu3TvHa2TH9unTx2H/fffd55BTfHy8kWSefPJJh7gXX3zRSDJLliyx77t83rLVrFnTIYdrnaemTZuaoKAgc/z4cfu+zZs3G6vVanr16mXf17t3b4ea4vL3eqm85iX7e3Tv3r32fW3atHGoNz7//HNjtVrNypUrHZ47bdo0I8msXr3avk+SsVqtZvv27Q6xzz//vPH19TUZGRlXeuvGGGPeeOMNI8kcPnz4inHUmdSZZR2X7wHI05QpUxQbG6vY2Fj93//9n+666y49+eST+t///meP+f777+Xm5qbnnnvO4bkvvPCCjDEOd+V57bXX1KBBA/Xu3VvPPvus2rRpk+N52S79TVD2KdRpaWn68ccfc43PzMzUokWL1LVrV9144432/VWqVNEjjzyiVatW5TiFOb9atWqllStXSpJOnz6tzZs3q1+/fgoMDLTvX7lypfz9/dWwYcMrHqt3797y8vIqUB7XysPDQ1brhX/mMzMzdfz4cfn4+KhOnTrauHHjVXM7ePCgtm7dql69ejn8NrdNmzZq1KiRw3NjYmLk5+env/3tbzp27Jh9Cw8Pl4+Pj5YuXXqd3iUAoKhQF1xw/PhxVaxYMcf+Vq1aKTMzU2vWrJF0oTZo1aqVQx2xbds2nTp1Sq1atSrQa2fr379/jtc+fvy4/T19//33kuRwOaF04e9BkubPn1+o17+aQ4cOKT4+Xo8//rgCAgLs+xs3bqy//e1v9vyKUkxMjOrVq6e6des61Cp33323JOWoVdq0aaP69es77PP399fZs2cVGxt71dfL/h45duzYFeOoM6kzyzqaUgDy1Lx5c7Vv317t27dXz549NX/+fNWvX99eCErSH3/8odDQUFWoUMHhudmnc//xxx/2fTabTZ999pn27t2r06dPa/r06blex261Wh0KSEm6+eabJSnPO74cPXpU586dU506dXKM1atXT1lZWdq/f3/+3/wlWrVqpUOHDmn37t32U/YjIiIcioiVK1eqZcuW9g/nvISFhRUoh4LIysrSxIkTVbt2bXl4eCgwMFCVK1e2X05wtdyy/+5q1aqVI/byfb/++quSkpIUFBSkypUrO2xnzpzRkSNHnPjOAACuQF1wkcllPatbb71V3t7eDrVBq1at1Lp1a61fv14pKSn2sTvvvLPAry1JNWrUcHic3QDJXl/njz/+kNVqzfF5HRISIn9/f4e/h+sh+/h5zf+xY8d09uzZ65rD5X799Vdt3749R52S/b10ea2SW8327LPP6uabb1anTp1UrVo19enTx77W1OWyv0eutGaTRJ1JnQnWlAKQb1arVXfddZeio6P166+/qkGDBtd8jIULF0q6cNeNX3/9tUg/PAsqu3BcsWKFfvvtN916660qX768WrVqpffff19nzpzRpk2b9M9//vOqxyqq315JF26bPHLkSPXp00fjxo1TQECArFarBg0alOsdTwqTW1ZWloKCgjRr1qxcxytXrlzgYwMAiqeyWhdUqlTJYXHlbO7u7mrRooVWrFih3bt3KzExUa1atVJwcLDS09O1du1arVy5UnXr1i305+Kla25d6vJm2dUaIleSvdj89ZZXjs5+/aysLDVq1Mi+htnlqlev7vA4t7ooKChI8fHxWrhwoX744Qf98MMPmj59unr16qWZM2c6xGZ/jwQGBl4xL+rMq6POLN1oSgG4JhkZGZJkv2NMzZo19eOPP+r06dMOvxXduXOnfTzbli1bNHbsWD3xxBOKj4/Xk08+qa1bt8rPz8/hNbKysvTbb7/Zf3MlSb/88osk5bkoZuXKleXt7a1du3blGNu5c6esVqu92LjWAq1GjRqqUaOGVq5cqd9++81+yn3r1q01ZMgQxcTEKDMzU61bt76m4+blWvPLK/6rr77SXXfdpX/9618O+0+dOnXVAkm6+He3e/fuHGOX77vpppv0448/qmXLllctOgpTIAMAipeyWBfUrVtXs2bNUlJSUo5cW7Vqpbfeeks//vijAgMDVbduXVksFjVo0EArV67UypUrdc8991z1NQr7WVmzZk1lZWXp119/dViM/PDhwzp16pTD30PFihUd7g4oSWlpaTp06FCBc8o+fl7zHxgYqPLly+f5+pJyPZurMPNy0003afPmzWrXrl2hjmOz2fT3v/9df//735WVlaVnn31WH330kUaOHOlwhs/evXvtZw9dCXUmdWZZx+V7APItPT1dixYtks1msxc4nTt3VmZmpiZPnuwQO3HiRFksFnXq1Mn+3Mcff1yhoaGKjo7WjBkzdPjwYQ0ePDjX17r0eMYYTZ48We7u7mrXrl2u8W5uburQoYO+/vprh1P5Dx8+rNmzZ+vOO++Ur6+vJNmLoNwKoLy0atVKS5Ys0bp16+zFQtOmTVWhQgW9+eab8vLyUnh4uCTp3Llz2rlz51XXEJAurLmwc+dOpaen2/dda37ly5fPNdbNzS3Hb0xjYmL0559/5uu4oaGhatiwof7973/b/7MhScuXL9fWrVsdYh988EFlZmZq3LhxOY6TkZHhkF9e+QIASpayWhdERETIGKMNGzbkGGvVqpVSU1M1adIk+53Vsvd//vnnOnjwYL7WkyrsZ2Xnzp0lXbh72qWyzxLKvhOgdOE//JfeNVCSPv744xxnKl3LPFWpUkVNmzbVzJkzHeK3bdumRYsW2fPLfv2kpCRt2bLFvu/QoUO53iGwMPPy4IMP6s8//9Qnn3ySY+z8+fP5upzw+PHjDo+tVqv9rnmpqakOYxs2bFBERES+cqPOpM4syzhTCkCefvjhB/tvNo8cOaLZs2fr119/1csvv2wv5P7+97/rrrvu0quvvqrff/9dTZo00aJFi/T1119r0KBB9lv1vv7664qPj9fixYtVoUIFNW7cWKNGjdKIESP0wAMPOBQnnp6eWrBggXr37q0WLVrohx9+0Pz58/XKK69c8bdNr7/+umJjY3XnnXfq2WefVbly5fTRRx8pNTVVEyZMsMc1bdpUbm5ueuutt5SUlCQPDw/dfffdCgoKyvPYrVq10qxZs2SxWOynWbu5uemOO+7QwoUL1bZtW/ttd9etW6e77rpLo0eP1muvvXbFOR4+fLhmzpypvXv32n/bm110PPfcc4qMjJSbm5t69OiR5zHCw8M1depUvf7666pVq5aCgoJ0991365577rH/BvqOO+7Q1q1bNWvWrBzrclzJG2+8oXvvvVctW7bUE088oZMnT2ry5Mlq2LChQwHRpk0bPf300xo/frzi4+PVoUMHubu769dff1VMTIyio6P1wAMPXDFfAEDxRl1wwZ133qlKlSrpxx9/zPH5FRERoXLlymnXrl3q16+ffX/r1q01depUScpXUyo8PFw//vij3nvvPYWGhiosLEwtWrS46vOyNWnSRL1799bHH3+sU6dOqU2bNlq3bp1mzpyprl276q677rLHPvnkk+rfv7+6deumv/3tb9q8ebMWLlyY42yXa52nt99+W506dVJERIT69u2r8+fP64MPPpCfn59DfdSjRw8NGzZM9913n5577jmdO3dOU6dO1c0335xjwezCzMtjjz2mL7/8Uv3799fSpUvVsmVLZWZmaufOnfryyy+1cOFCNWvW7IrHePLJJ3XixAndfffdqlatmv744w998MEHatq0qcMZaUeOHNGWLVs0YMCAfOVGnUmdWaa56rZ/AIqv3G797OnpaZo2bWqmTp1qsrKyHOJPnz5tBg8ebEJDQ427u7upXbu2efvtt+1xGzZsMOXKlXO4nbMxxmRkZJjbbrvNhIaGmpMnTxpjLtwWuHz58mbPnj2mQ4cOxtvb2wQHB5vRo0fnuO2scrmF8caNG01kZKTx8fEx3t7e5q677jJr1qzJ8R4/+eQTc+ONNxo3N7d83d54+/btRpKpV6+ew/7XX3/dSDIjR46078u+9e2luWXvi4mJcXh+9q2uL72FcUZGhhk4cKCpXLmysVgsV71tb2JiounSpYupUKGCkWS/DW5KSop54YUXTJUqVYyXl5dp2bKliYuLy3GL5LxyyzZnzhxTt25d4+HhYRo2bGi++eYb061bN1O3bt0csR9//LEJDw83Xl5epkKFCqZRo0Zm6NCh5uDBg1fNFwBQPFEX5PTcc8+ZWrVq5Tp22223GUlm7dq19n0HDhwwkkz16tVzxI8ePTrHZ/3OnTtN69atjZeXl5Fkevfu7RB79OhRh/jsv6NL64n09HQzZswYExYWZtzd3U316tXN8OHDTUpKisNzMzMzzbBhw0xgYKDx9vY2kZGRZvfu3aZmzZr21y3oPP3444+mZcuWxsvLy/j6+pq///3vJiEhIUfcokWLTMOGDY3NZjN16tQx//d//3dN85Lb+7+83jHGmLS0NPPWW2+ZBg0aGA8PD1OxYkUTHh5uxowZY5KSkuxxksyAAQNy5PnVV1+ZDh06mKCgIGOz2UyNGjXM008/bQ4dOuQQN3XqVOPt7W2Sk5OvOD/ZqDOpM8syizG53DoCAFzk8ccf11dffeXw2xEUP02bNlXlypXzdUtkAAAKqrjWBb/99pvq1q2rH374Ic9LCFF23XLLLWrbtq0mTpzo6lRKJOrMsoU1pQAAeUpPT7cvYptt2bJl2rx5s9q2beuapAAAcLEbb7xRffv21ZtvvunqVFDMLFiwQL/++quGDx/u6lSKPepMSKwpBQC4gj///FPt27fXo48+qtDQUO3cuVPTpk1TSEiI+vfv7+r0AABwmew1ooBLdezYsdid2VdcUWdCoikFALiCihUrKjw8XJ9++qmOHj2q8uXLq0uXLnrzzTdVqVIlV6cHAACAEoo6E5LEmlIAAAAAAAAocqwpBQAAAAAAgCJHUwoAAAAAAABFjjWlilBWVpYOHjyoChUqyGKxuDodAACQD8YYnT59WqGhobJa+X2eK1BDAQBQsuS3fqIpVYQOHjyo6tWruzoNAABQAPv371e1atVcnUaZRA0FAEDJdLX6iaZUEapQoYKkC38pvr6+Ls4GAADkR3JysqpXr27/HEfRo4YCAKBkyW/9RFOqCGWfbu7r60tBBQBACcNlY65DDQUAQMl0tfqJhREAAAAAAABQ5GhKAQAAAAAAoMjRlAIAAAAAAECRoykFAAAAAACAIkdTCgAAAAAAAEWOphQAAAAAAACKHE0pAAAAAAAAFDmaUgAAAAAAAChyNKUAAAAAAABQ5GhKAQAAAAAAoMjRlAIAAAAAAECRoykFXCfr1q1Tnz59tG7dOlenAgAAAABAsUNTCrgOUlJS9OGHH+ro0aP68MMPlZKS4uqUADgRTWcAAACg8GhKAdfBV199pRMnTkiSTpw4oa+++srFGQFwFprOAAAAgHOUc3UCQGlz8OBBffXVVzLGSJKMMfrqq6909913KzQ01MXZASis3JrOjz76qIuzAlDWGWOUmprq6jQK5dL34OHhIYvF4uKMCq+0vA8AuF5oSgFOZIzRtGnT7A2py/ePGTOGwgQowWg6AyiuUlNT1b17d1engcvExMTI09PT1WkAQLHF5XuAEx04cECbNm1SVlaWw/6srCxt2rRJBw4ccFFmAArrak3ny/cDAAAAuDLOlAKcqFq1arrlllu0efNmh8aU1WpV06ZNVa1aNRdmB6AwspvOl7u06Vy9enUXZAYAFy4Ti4mJcXUahZKSkqLHHntMkvT555+XijOMPDw8XJ0CABRrNKUAJ7JYLOrfv7+effbZXPdz6R5QclWrVk3169dXQkJCjrEGDRrQdAbgUhaLpVQ0cbJ5enqWqvcDAMgdl+8BThYaGqoHHnjA3oCyWCx64IEHVKVKFRdnBuB64dI9AAAA4NrRlAKugwceeEABAQGSpICAAD3wwAMuzghAYR04cCDXs6QkKSEhgTXjAAAAgGtEUwq4Djw9PfXss8+qcuXKevbZZzn9HCgFqlatqgoVKuQ6VqFCBVWtWrWIMwIAAABKNtaUAq6T5s2bq3nz5q5OA4CT/Pnnnzp9+nSuY6dPn9aff/7JQucAAADANeBMKQAA8oEzpQAAAADnoikFXCfr1q1Tnz59tG7dOlenAsAJ8nOmFAAAAID8oykFXAcpKSmaNGmSjh49qkmTJiklJcXVKQEopGrVqumWW26x31kzm8Vi0a233qpq1aq5KDMAAACgZKIpBVwHc+bMsZ9Rcfr0ac2ZM8fFGQEoLIvFov79++c61r9//xzNKgAAAABXRlMKcLKDBw/qv//9r8O+//73vzp48KCLMgJwvRljXJ0CAAAAUOLQlAKcyBij6OjoXMeio6P5jytQghljNG3atBw/x3ntBwAAAHBlNKUAJ9q/f78SEhJyHUtISND+/fuLOCMAznLgwAFt2rQp17FNmzbpwIEDRZwRAAAAULLRlAKc6GpnSnAmBVByVa1aVRUqVMh1rEKFCqpatWoRZwQAAACUbDSlACe62kLHLIQMlFx//vmn/QYGlzt9+rT+/PPPIs4IAAAAKNloSgFOVL16ddWvXz/XsQYNGqh69epFnBEAZ+FMKQAAAMC5aEoBTmSxWPT888/nOCMqr/0ASg7OlAIAAACcy6VNqalTp6px48by9fWVr6+vIiIi9MMPP9jHU1JSNGDAAFWqVEk+Pj7q1q2bDh8+7HCMffv2qUuXLvL29lZQUJBeeuklZWRkOMQsW7ZMt956qzw8PFSrVi3NmDEjRy5TpkzRDTfcIE9PT7Vo0ULr1q1zGM9PLoAkhYaG6v7773fYd//996tKlSouygiAM3CmFAAAAOBc5Vz54tWqVdObb76p2rVryxijmTNn6t5779WmTZvUoEEDDR48WPPnz1dMTIz8/PwUFRWl+++/X6tXr5YkZWZmqkuXLgoJCdGaNWt06NAh9erVS+7u7nrjjTckSXv37lWXLl3Uv39/zZo1S4sXL9aTTz6pKlWqKDIyUpL0xRdfaMiQIZo2bZpatGihSZMmKTIyUrt27VJQUJAkXTUX4FI9evTQokWLdPr0aVWoUEE9evRwdUoACik/Z0pxiS4AAHA2Y4xSU1NdnUahXPoePDw8SsUVJKXlfbiaxRSz24EFBATo7bff1gMPPKDKlStr9uzZeuCBByRJO3fuVL169RQXF6fbb79dP/zwg+655x4dPHhQwcHBkqRp06Zp2LBhOnr0qGw2m4YNG6b58+dr27Zt9tfo0aOHTp06pQULFkiSWrRoodtuu02TJ0+WJGVlZal69eoaOHCgXn75ZSUlJV01l/xITk6Wn5+fkpKS5Ovr67Q5Q/G0bt06TZs2Tf3791fz5s1dnQ6AQjLGaPTo0YqPj3e4k6bFYtEtt9yi1157jcKklOLz2/X4OygbUlJS1L17d0lSTEyMPD09XZwRUDxc+rOB4oN/p64sv5/dxWZNqczMTM2ZM0dnz55VRESENmzYoPT0dLVv394eU7duXdWoUUNxcXGSpLi4ODVq1MjekJKkyMhIJScna/v27faYS4+RHZN9jLS0NG3YsMEhxmq1qn379vaY/OSSm9TUVCUnJztsKDuaN2+uzz77jIYUUEpYLBb1798/17H+/fvTkAIAAACukUsv35OkrVu3KiIiQikpKfLx8dHcuXNVv359xcfHy2azyd/f3yE+ODhYiYmJkqTExESHhlT2ePbYlWKSk5N1/vx5nTx5UpmZmbnG7Ny5036Mq+WSm/Hjx2vMmDH5mwgAQIlw+QnGxpgc+wAAAJzFw8NDMTExrk6jUFJSUvTYY49Jkj7//PNScYaRh4eHq1MoFVzelKpTp47i4+OVlJSkr776Sr1799by5ctdnZZTDB8+XEOGDLE/Tk5OZr0RACihjDGKjo7OdSw6OlpvvvkmZ0sBAACns1gspaKJk83T07NUvR8Ujssv37PZbKpVq5bCw8M1fvx4NWnSRNHR0QoJCVFaWppOnTrlEH/48GGFhIRIkkJCQnLcAS/78dVifH195eXlpcDAQLm5ueUac+kxrpZLbjw8POx3FszeUHasW7dOffr0yXEnRwAl0/79+5WQkJDrWEJCgvbv31/EGQEAAAAlm8ubUpfLyspSamqqwsPD5e7ursWLF9vHdu3apX379ikiIkKSFBERoa1bt+rIkSP2mNjYWPn6+qp+/fr2mEuPkR2TfQybzabw8HCHmKysLC1evNgek59cgEulpKToww8/1NGjR/Xhhx8qJSXF1SkBAAAAAFCsuPTyveHDh6tTp06qUaOGTp8+rdmzZ2vZsmVauHCh/Pz81LdvXw0ZMkQBAQHy9fXVwIEDFRERYb/bXYcOHVS/fn099thjmjBhghITEzVixAgNGDDAfn1n//79NXnyZA0dOlR9+vTRkiVL9OWXX2r+/Pn2PIYMGaLevXurWbNmat68uSZNmqSzZ8/qiSeekKR85QJc6quvvtKJEyckSSdOnNBXX32lRx991MVZASiM6tWrq2bNmvrjjz9yjNWsWZPLswEAAIBr5NKm1JEjR9SrVy8dOnRIfn5+aty4sRYuXKi//e1vkqSJEyfKarWqW7duSk1NVWRkpD788EP7893c3PTdd9/pmWeeUUREhMqXL6/evXtr7Nix9piwsDDNnz9fgwcPVnR0tKpVq6ZPP/1UkZGR9piHHnpIR48e1ahRo5SYmKimTZtqwYIFDoufXy0XINvBgwf11Vdf2Rc+Nsboq6++0t13363Q0FAXZwegoIwxOnbsWK5jx44dkzGGNaUAAACAa2Ax3DKoyCQnJ8vPz09JSUmsL1VKGWM0evRoxcfHO9yNy2KxqGnTphozZgz/aQVKqHXr1mncuHF5jo8cOVLNmzcvwoxQVPj8dj3+DsqGlJQUde/eXZIUExPDQshAKcLPd9mT38/uYremFFCSHThwQJs2bcr1lvGbNm3SgQMHXJQZgMJq1qyZKlSokOuYr6+vmjVrVsQZAQAAACUbTSnAiapWrZrnf1orVKigqlWrFnFGAJzFarVq6NChuY4NHTpUVisfqQAAAMC1oIIGnOjPP//U6dOncx07ffq0/vzzzyLOCIAzNW3a1H5312z169dXkyZNXJQRAAAAUHLRlAKcqFq1ajn+w5qtfv36qlatWhFnBMDZXnjhhSs+BgAAAJA/NKUAALgG33zzzRUfAwAAAMgfmlKAEx04cEAJCQm5jiUkJLDQOVDCHTx4UF9//bXDvq+//loHDx50UUYAAABAyUVTCnCiatWq6ZZbbsl17NZbb+XyPaAEM8bo7bffznXs7bffznHXTQAAAABXRlMKcCKLxaL7778/17H7779fFouliDMC4Cz79u3T7t27cx3bvXu39u3bV8QZAQAAACUbTSnAiYwx+t///pej+WSxWPTf//6XMymAEuzw4cOFGgcAAADgiKYU4EQHDhzQpk2bcjSfjDHatGkTa0oBJVh4eHieZztarVaFh4cXcUYAAABAyUZTCnCi7DWlrFbHHy2r1cqaUkAJd+DAgTzPdszKyqLpDAAAAFwjmlKAE1ksFvXv3z/Xy/dy2w+g5LjaHfa4Ax+Kyvjx43XbbbepQoUKCgoKUteuXbVr1y6HmJSUFA0YMECVKlWSj4+PunXrluMS03379qlLly7y9vZWUFCQXnrpJWVkZDjELFu2TLfeeqs8PDxUq1YtzZgxI0c+U6ZM0Q033CBPT0+1aNFC69atu+ZcAABA2URTCnCy0NBQhYWFOewLCwtTlSpVXJQRAGc4fvx4ocYBZ1m+fLkGDBign376SbGxsUpPT1eHDh109uxZe8zgwYP17bffKiYmRsuXL9fBgwcdbsSRmZmpLl26KC0tTWvWrNHMmTM1Y8YMjRo1yh6zd+9edenSRXfddZfi4+M1aNAgPfnkk1q4cKE95osvvtCQIUM0evRobdy4UU2aNFFkZKSOHDmS71wAAEDZZTGsvFxkkpOT5efnp6SkJPn6+ro6HVwnBw8e1NNPP51j/0cffaTQ0FAXZATAGTIyMnTfffflOT537lyVK1euCDNCUSnun99Hjx5VUFCQli9frtatWyspKUmVK1fW7Nmz9cADD0iSdu7cqXr16ikuLk633367fvjhB91zzz06ePCggoODJUnTpk3TsGHDdPToUdlsNg0bNkzz58/Xtm3b7K/Vo0cPnTp1SgsWLJAktWjRQrfddpsmT54s6cKlrNWrV9fAgQP18ssv5yuX/CjufwdwjpSUFHXv3l2SFBMTI09PTxdnBMBZ+Pkue/L72c2ZUoATGWP0z3/+M9exf/7zn9x9DyjBrrZmFGtKwVWSkpIkSQEBAZKkDRs2KD09Xe3bt7fH1K1bVzVq1FBcXJwkKS4uTo0aNbI3pCQpMjJSycnJ2r59uz3m0mNkx2QfIy0tTRs2bHCIsVqtat++vT0mP7kAAICyi6YU4ER//PGH9u3bl+vYvn379McffxRxRgCcZevWrYUaB66HrKwsDRo0SC1btlTDhg0lSYmJibLZbPL393eIDQ4OVmJioj3m0oZU9nj22JVikpOTdf78eR07dkyZmZm5xlx6jKvlkpvU1FQlJyc7bAAAoPShKQU4UfZvlws6DqD4utqNCriRAVxhwIAB2rZtm+bMmePqVJxq/Pjx8vPzs2/Vq1d3dUoAAOA6oCkFOFHHjh1lteb+Y2W1WtWxY8cizgiAs1x+GdO1jgPOFhUVpe+++05Lly5VtWrV7PtDQkKUlpamU6dOOcQfPnxYISEh9pjL74CX/fhqMb6+vvLy8lJgYKDc3Nxyjbn0GFfLJTfDhw9XUlKSfdu/f/9VZgMAAJRENKUAJ3Jzc1PXrl1zHbvvvvvk5uZWtAkBcJp//etfhRoHnMUYo6ioKM2dO1dLlizJccfX8PBwubu7a/HixfZ9u3bt0r59+xQRESFJioiI0NatWx3ukhcbGytfX1/Vr1/fHnPpMbJjso9hs9kUHh7uEJOVlaXFixfbY/KTS248PDzk6+vrsAEAgNKHphTgRFlZWYqNjc11bNGiRcrKyirijAA4S5MmTQo1DjjLgAED9H//93+aPXu2KlSooMTERCUmJur8+fOSJD8/P/Xt21dDhgzR0qVLtWHDBj3xxBOKiIiw3+2uQ4cOql+/vh577DFt3rxZCxcu1IgRIzRgwAB5eHhIkvr376/ffvtNQ4cO1c6dO/Xhhx/qyy+/1ODBg+25DBkyRJ988olmzpypHTt26JlnntHZs2f1xBNP5DsXAABQdnHvasCJ1q9fr9OnT+c6dvr0aa1fv17Nmzcv4qwAOEO5clf+yLzaOOAsU6dOlSS1bdvWYf/06dP1+OOPS5ImTpwoq9Wqbt26KTU1VZGRkfrwww/tsW5ubvruu+/0zDPPKCIiQuXLl1fv3r01duxYe0xYWJjmz5+vwYMHKzo6WtWqVdOnn36qyMhIe8xDDz2ko0ePatSoUUpMTFTTpk21YMECh8XPr5YLAAAou6igASdq1qyZKlSokGtjytfXV82aNXNBVgCc4fI7jF3rOOAsxpirxnh6emrKlCmaMmVKnjE1a9bU999/f8XjtG3bVps2bbpiTFRUlKKiogqVCwAAKJu4fA9wIqvVqqFDh+Y6NnTo0DwXQQdQ/F269k5BxgEAAAA44n/IgJM1bdpUlSpVcthXqVIl1psBSrjAwMBCjQMAAABwRFMKcLKDBw/q+PHjDvuOHz+ugwcPuigjAM5wtcucrjYOAAAAwBFNKcCJjDGKjo7OdSw6Ojpf64AAKJ58fHwKNQ4AAADAEU0pwIn279+vhISEXMcSEhK0f//+Is4IgLPcfPPNhRoHAAAA4IimFOBEVzsTijOlgJLLYrEUahwAAACAI5pSgBPxn1ag9OLnGwAAAHAumlKAE1WtWlVWa+4/VlarVVWrVi3ijAA4C2dCAgAAAM5FUwpwog0bNigrKyvXsaysLG3YsKGIMwLgLMeOHSvUOAAAAABHNKUAJwoKCirUOAAAAAAAZQVNKcCJWHMGKL0CAwMLNQ4AAADAEU0pwIloSgGl19GjRws1DgAAAMARTSnAiVjoHCi9Tp06VahxAAAAAI5oSgFOxELnQOlVq1atQo0DAAAAcERTCnCi4ODgQo0DAAAAAFBW0JQCnKhGjRp5ni1Ru3Zt1ahRo4gzAuAs69evL9Q4AAAAAEc0pQAnslgs6t27d65jvXv3ZqFzoATz9/cv1DgAAAAARzSlACcyxug///lPrmOzZ8+WMaaIMwLgLA8//HChxgEAAAA4oikFONH+/fuVkJCQ61hCQoL2799fxBkBcJar3aiAGxkAAAAA14amFOBEed15L7/jAIqvX375pVDjAAAAABzRlAKcKDExsVDjAIqvihUrFmocAAAAgCOaUgAA5EODBg0KNQ4AAADAEU0pwIlCQkIKNQ6g+Mprvbj8jgMAAABwRFMKAIB8YM04AAAAwLloSgFOdOjQoUKNAyi+jDGFGgcAAADgyKVNqfHjx+u2225ThQoVFBQUpK5du2rXrl0OMW3btpXFYnHY+vfv7xCzb98+denSRd7e3goKCtJLL72kjIwMh5hly5bp1ltvlYeHh2rVqqUZM2bkyGfKlCm64YYb5OnpqRYtWmjdunUO4ykpKRowYIAqVaokHx8fdevWTYcPH3bOZKBUOH78eKHGARRf+/fvL9Q4AAAAAEcubUotX75cAwYM0E8//aTY2Filp6erQ4cOOnv2rEPcU089pUOHDtm3CRMm2McyMzPVpUsXpaWlac2aNZo5c6ZmzJihUaNG2WP27t2rLl266K677lJ8fLwGDRqkJ598UgsXLrTHfPHFFxoyZIhGjx6tjRs3qkmTJoqMjNSRI0fsMYMHD9a3336rmJgYLV++XAcPHtT9999/HWcIJU1kZGShxgEUX02bNi3UOAAAAABH5Vz54gsWLHB4PGPGDAUFBWnDhg1q3bq1fb+3t3eeC0QvWrRICQkJ+vHHHxUcHKymTZtq3LhxGjZsmF577TXZbDZNmzZNYWFhevfddyVJ9erV06pVqzRx4kR7k+C9997TU089pSeeeEKSNG3aNM2fP1+fffaZXn75ZSUlJelf//qXZs+erbvvvluSNH36dNWrV08//fSTbr/9dqfPD0qeTZs2XXW8efPmRZQNAGdyd3cv1DgAAAAAR8VqTamkpCRJUkBAgMP+WbNmKTAwUA0bNtTw4cN17tw5+1hcXJwaNWqk4OBg+77IyEglJydr+/bt9pj27ds7HDMyMlJxcXGSpLS0NG3YsMEhxmq1qn379vaYDRs2KD093SGmbt26qlGjhj0GqFy5cqHGARRfgYGBhRoHAAAA4KjYNKWysrI0aNAgtWzZUg0bNrTvf+SRR/R///d/Wrp0qYYPH67PP/9cjz76qH08MTHRoSElyf44MTHxijHJyck6f/68jh07pszMzFxjLj2GzWaTv79/njGXS01NVXJyssOG0u3o0aOFGgdQfH377beFGgcAAADgyKWX711qwIAB2rZtm1atWuWwv1+/fvavGzVqpCpVqqhdu3bas2ePbrrppqJO85qMHz9eY8aMcXUaKELNmjVT+fLlc6yLJknly5dXs2bNXJAVAGe49CzdgowDAAAAcFQszpSKiorSd999p6VLl6patWpXjG3RooUkaffu3ZKkkJCQHHfAy36cvQ5VXjG+vr7y8vJSYGCg3Nzcco259BhpaWk6depUnjGXGz58uJKSkuwbd2Yq/axWq5566qlcx/r16yertVj8yAEoAJvNVqhxAAAAAI5c+j9kY4yioqI0d+5cLVmyRGFhYVd9Tnx8vCSpSpUqkqSIiAht3brV4S55sbGx8vX1Vf369e0xixcvdjhObGysIiIiJF34j0R4eLhDTFZWlhYvXmyPCQ8Pl7u7u0PMrl27tG/fPnvM5Tw8POTr6+uwoXQzxmjRokW5ji1cuFDGmCLOCICzHDhwoFDjAAAAABy59PK9AQMGaPbs2fr6669VoUIF+9pMfn5+8vLy0p49ezR79mx17txZlSpV0pYtWzR48GC1bt1ajRs3liR16NBB9evX12OPPaYJEyYoMTFRI0aM0IABA+Th4SFJ6t+/vyZPnqyhQ4eqT58+WrJkib788kvNnz/fnsuQIUPUu3dvNWvWTM2bN9ekSZN09uxZ+934/Pz81LdvXw0ZMkQBAQHy9fXVwIEDFRERwZ33YLd//34lJCTkOpaQkKD9+/erRo0aRZwVAGfIvhlHQccBAAAAOHJpU2rq1KmSpLZt2zrsnz59uh5//HHZbDb9+OOP9gZR9erV1a1bN40YMcIe6+bmpu+++07PPPOMIiIiVL58efXu3Vtjx461x4SFhWn+/PkaPHiwoqOjVa1aNX366aeKjIy0xzz00EM6evSoRo0apcTERDVt2lQLFixwWPx84sSJslqt6tatm1JTUxUZGakPP/zwOs0OSqKrnQnFmVJAydW8eXP98MMPVxwHAAAAkH8ubUpd7T/o1atX1/Lly696nJo1a+r777+/Ykzbtm21adOmK8ZERUUpKioqz3FPT09NmTJFU6ZMuWpOAIDSJSMjo1DjAAAAAByx6jLgRBaLpVDjAIovHx+fQo0DAAAAcERTCnCi6tWr2xfhv1xoaKiqV69exBkBcJbatWsXahwAAACAI5pSgBNlZWXp8OHDuY4lJiYqKyuriDMC4CwrVqwo1DgAAAAARzSlACdasGBBno2nrKwsLViwoIgzAuAsXJ4LAAAAOBdNKcCJ6tatW6hxAMXX/fffX6hxAAAAAI5oSgFOtHr16kKNAyi+vvrqq0KNAwAAAHBEUwpwopYtWxZqHEDxdfz48UKNAwAAAHBEUwpwIv7TCpReISEhhRoHAAAA4IimFOBEzZo1k5eXV65jXl5eatasWRFnBMBZ9u3bV6hxAAAAAI5oSgFOZLFYVLly5VzHgoKCuDsXUILdfffdhRoHAAAA4IimFOBE+/fvz/NsiT/++EP79+8v4owAOIubm1uhxgEAAAA4oikFOJExplDjAIqvEydOFGocAAAAgCOaUoATZWVlFWocQPF18ODBQo0DAAAAcERTCnCirVu3FmocQPGV100M8jsOAAAAwBFNKcCJrraQOQudAyXX0aNHCzUOAAAAwBFNKcCJ6tevX6hxAMVXampqocYBAAAAOKIpBThRQkJCocYBFF++vr6FGgcAAADgiKYU4ETcfQ8ovcqVK1eocQAAAACOqKBRrBhjSvQlMPk5kyIlJaWIsnEeDw8P1sNCmceacQAAAIBz0ZRCsZKamqru3bu7Oo3r5t1333V1CgUSExMjT09PV6cBuFSVKlUKNQ4AAADAEZfvAQCQDwEBAYUaBwAAAOCIM6VQrHh4eCgmJsbVaRRYVlaWevfuneslel5eXpoxY4as1pLXC/bw8HB1CoDL7du3r1DjAAAAABzRlEKxYrFYSvxlYq+++qpGjhyZ635vb28XZATAGdLS0go1DgAAAMBRyTtlAyjmmjZtqlq1ajnsu/nmm9WkSRMXZQTAGdLT0ws1DgAAAMARTSngOhg+fLjD41GjRrkoEwDOEhgYWKhxAAAAAI5oSgHXga+vr/3rbt26yc/Pz4XZAHCGxMTEQo0DAAAAcERTCrjOevTo4eoUADjBwYMHCzUOAAAAwBFNKQAA8uFqd84siXfWBAAAAFyJChoAgHy45ZZbCjUOAAAAwBFNKQAA8iEgIKBQ4wAAAAAc0ZQCACAfVq9eXahxAAAAAI5oSgEAkA81atQo1DgAAAAARzSlAADIBx8fn0KNAwAAAHBUztUJAADKBmOMUlNTXZ1GgSUlJV11PCUlpYiycR4PDw9ZLBZXpwEAAIAyiKYUAKBIpKamqnv37q5O47pZtmyZli1b5uo0rllMTIw8PT1dnQYAAADKIC7fAwAAAAAAQJHjTCkAQJHw8PBQTEyMq9MosLS0NPXs2TPP8VmzZslmsxVhRs7h4eHh6hRQACtWrNDbb7+tDRs26NChQ5o7d666du1qH3/88cc1c+ZMh+dERkZqwYIF9scnTpzQwIED9e2338pqtapbt26Kjo52WB9ty5YtGjBggH7++WdVrlxZAwcO1NChQx2OGxMTo5EjR+r3339X7dq19dZbb6lz5872cWOMRo8erU8++USnTp1Sy5YtNXXqVNWuXdvJswIAAEoamlIAgCJhsVhK9GVinp6e6tChgxYtWpRjLDIyUr6+vi7ICmXV2bNn1aRJE/Xp00f3339/rjEdO3bU9OnT7Y8vb0D27NlThw4dUmxsrNLT0/XEE0+oX79+mj17tiQpOTlZHTp0UPv27TVt2jRt3bpVffr0kb+/v/r16ydJWrNmjR5++GGNHz9e99xzj2bPnq2uXbtq48aNatiwoSRpwoQJev/99zVz5kyFhYVp5MiRioyMVEJCQon+NwEAABQeTSkAAPJp4MCBuTaloqKiXJANyrJOnTqpU6dOV4zx8PBQSEhIrmM7duzQggUL9PPPP6tZs2aSpA8++ECdO3fWO++8o9DQUM2aNUtpaWn67LPPZLPZ1KBBA8XHx+u9996zN6Wio6PVsWNHvfTSS5KkcePGKTY2VpMnT9a0adNkjNGkSZM0YsQI3XvvvZKkf//73woODta8efPUo0cPZ00JAAAogVhTCgCAa/D66687PJ4wYYKLMgGubNmyZQoKClKdOnX0zDPP6Pjx4/axuLg4+fv72xtSktS+fXtZrVatXbvWHtO6dWuHy1IjIyO1a9cunTx50h7Tvn17h9eNjIxUXFycJGnv3r1KTEx0iPHz81OLFi3sMblJTU1VcnKywwYAAEofmlIAAFyDOnXq2L8OCAhQvXr1XJgNkLuOHTvq3//+txYvXqy33npLy5cvV6dOnZSZmSlJSkxMVFBQkMNzypUrp4CAACUmJtpjgoODHWKyH18t5tLxS5+XW0xuxo8fLz8/P/tWvXr1a3r/AACgZODyPQAACuijjz5ydQpAri69LK5Ro0Zq3LixbrrpJi1btkzt2rVzYWb5M3z4cA0ZMsT+ODk5mcYUAAClEGdKAQAAlHI33nijAgMDtXv3bklSSEiIjhw54hCTkZGhEydO2NehCgkJ0eHDhx1ish9fLebS8Uufl1tMbjw8POTr6+uwAQCA0oemFAAAQCl34MABHT9+XFWqVJEkRURE6NSpU9qwYYM9ZsmSJcrKylKLFi3sMStWrFB6ero9JjY2VnXq1FHFihXtMYsXL3Z4rdjYWEVEREiSwsLCFBIS4hCTnJystWvX2mMAAEDZRVMKAACghDlz5ozi4+MVHx8v6cKC4vHx8dq3b5/OnDmjl156ST/99JN+//13LV68WPfee69q1aqlyMhISVK9evXUsWNHPfXUU1q3bp1Wr16tqKgo9ejRQ6GhoZKkRx55RDabTX379tX27dv1xRdfKDo62uGyuueff14LFizQu+++q507d+q1117T+vXr7XektFgsGjRokF5//XV988032rp1q3r16qXQ0FB17dq1SOcMAAAUP6wpBQAAUMKsX79ed911l/1xdqOod+/emjp1qrZs2aKZM2fq1KlTCg0NVYcOHTRu3Dh5eHjYnzNr1ixFRUWpXbt2slqt6tatm95//337uJ+fnxYtWqQBAwYoPDxcgYGBGjVqlPr162ePueOOOzR79myNGDFCr7zyimrXrq158+apYcOG9pihQ4fq7Nmz6tevn06dOqU777xTCxYskKen5/WcIgAAUALQlAIAAChh2rZtK2NMnuMLFy686jECAgI0e/bsK8Y0btxYK1euvGJM9+7d1b179zzHLRaLxo4dq7Fjx141JwAAULYU+PK9PXv2aMSIEXr44YftC2X+8MMP2r59u9OSAwAAKG2ooQAAAC4oUFNq+fLlatSokdauXav//e9/OnPmjCRp8+bNGj16dL6PM378eN12222qUKGCgoKC1LVrV+3atcshJiUlRQMGDFClSpXk4+Ojbt265biDy759+9SlSxd5e3srKChIL730kjIyMhxili1bpltvvVUeHh6qVauWZsyYkSOfKVOm6IYbbpCnp6datGihdevWXXMuAAAAeXFWDQUAAFAaFKgp9fLLL+v1119XbGysbDabff/dd9+tn376Kd/HWb58uQYMGKCffvpJsbGxSk9PV4cOHXT27Fl7zODBg/Xtt98qJiZGy5cv18GDB3X//ffbxzMzM9WlSxelpaVpzZo1mjlzpmbMmKFRo0bZY/bu3asuXbrorrvuUnx8vAYNGqQnn3zS4dT2L774QkOGDNHo0aO1ceNGNWnSRJGRkQ63S75aLgAAAFfirBoKAACgNCjQmlJbt27NdQ2CoKAgHTt2LN/HWbBggcPjGTNmKCgoSBs2bFDr1q2VlJSkf/3rX5o9e7buvvtuSdL06dNVr149/fTTT7r99tu1aNEiJSQk6Mcff1RwcLCaNm2qcePGadiwYXrttddks9k0bdo0hYWF6d1335V04Y4zq1at0sSJE+13oXnvvff01FNP6YknnpAkTZs2TfPnz9dnn32ml19+OV+5AAAAXImzaigAAIDSoEBnSvn7++vQoUM59m/atElVq1YtcDJJSUmSLiy8KUkbNmxQenq62rdvb4+pW7euatSoobi4OElSXFycGjVqpODgYHtMZGSkkpOT7WszxMXFORwjOyb7GGlpadqwYYNDjNVqVfv27e0x+cnlcqmpqUpOTnbYAABA2XW9aigAAICSqEBNqR49emjYsGFKTEyUxWJRVlaWVq9erRdffFG9evUqUCJZWVkaNGiQWrZsab+NcGJiomw2m/z9/R1ig4ODlZiYaI+5tCGVPZ49dqWY5ORknT9/XseOHVNmZmauMZce42q5XG78+PHy8/Ozb9WrV8/nbAAAgNLoetRQAAAAJVWBmlJvvPGG6tatq+rVq+vMmTOqX7++WrdurTvuuEMjRowoUCIDBgzQtm3bNGfOnAI9vzgaPny4kpKS7Nv+/ftdnRIAAHCh61FDAQAAlFQFWlPKZrPpk08+0ciRI7Vt2zadOXNGt9xyi2rXrl2gJKKiovTdd99pxYoVqlatmn1/SEiI0tLSdOrUKYczlA4fPqyQkBB7zOV3ycu+I96lMZffJe/w4cPy9fWVl5eX3Nzc5ObmlmvMpce4Wi6X8/DwkIeHxzXMBAAAKM2cXUMBAACUZAU6UypbjRo11LlzZz344IMFKqaMMYqKitLcuXO1ZMkShYWFOYyHh4fL3d1dixcvtu/btWuX9u3bp4iICElSRESEtm7d6nCXvNjYWPn6+qp+/fr2mEuPkR2TfQybzabw8HCHmKysLC1evNgek59cAAAA8qOwNRQAAEBpUKAzpYYMGZLrfovFIk9PT9WqVUv33nuvfcHyvAwYMECzZ8/W119/rQoVKtjXZvLz85OXl5f8/PzUt29fDRkyRAEBAfL19dXAgQMVERFhv9tdhw4dVL9+fT322GOaMGGCEhMTNWLECA0YMMB+llL//v01efJkDR06VH369NGSJUv05Zdfav78+Q7vqXfv3mrWrJmaN2+uSZMm6ezZs/a78eUnFwAAgCtxVg0FAABQGhSoKbVp0yZt3LhRmZmZqlOnjiTpl19+kZubm+rWrasPP/xQL7zwglatWmU/Wyk3U6dOlSS1bdvWYf/06dP1+OOPS5ImTpwoq9Wqbt26KTU1VZGRkfrwww/tsW5ubvruu+/0zDPPKCIiQuXLl1fv3r01duxYe0xYWJjmz5+vwYMHKzo6WtWqVdOnn36qyMhIe8xDDz2ko0ePatSoUUpMTFTTpk21YMECh8XPr5YLAADAlTirhgIAACgNCtSUyv4N3vTp0+Xr6ytJSkpK0pNPPqk777xTTz31lB555BENHjxYCxcuzPM4xpirvpanp6emTJmiKVOm5BlTs2ZNff/991c8Ttu2bbVp06YrxkRFRSkqKqpQuQAAAOTFWTUUAABAaVCgNaXefvttjRs3zl5MSRcub3vttdc0YcIEeXt7a9SoUdqwYYPTEgUAACjpqKEAAAAuKlBTKikpyWFh8WxHjx5VcnKyJMnf319paWmFyw4AAKAUoYYCAAC4qEBNqXvvvVd9+vTR3LlzdeDAAR04cEBz585V37591bVrV0nSunXrdPPNNzszVwAAgBKNGgoAAOCiAq0p9dFHH2nw4MHq0aOHMjIyLhyoXDn17t1bEydOlCTVrVtXn376qfMyBQAAKOGooQAAAC4qUFPKx8dHn3zyiSZOnKjffvtNknTjjTfKx8fHHtO0aVOnJAgAAFBaUEMBAABcVKCmVDYfHx81btzYWbkAAACUCdRQAAAAhWhKrV+/Xl9++aX27duXYzHO//3vf4VODAAAoDSihgIAALigQAudz5kzR3fccYd27NihuXPnKj09Xdu3b9eSJUvk5+fn7BwBAABKBWooAACAiwrUlHrjjTc0ceJEffvtt7LZbIqOjtbOnTv14IMPqkaNGs7OEQAAoFSghgIAALioQE2pPXv2qEuXLpIkm82ms2fPymKxaPDgwfr444+dmiAAAEBpQQ0FAABwUYGaUhUrVtTp06clSVWrVtW2bdskSadOndK5c+eclx0AAEApQg0FAABwUYEWOm/durViY2PVqFEjde/eXc8//7yWLFmi2NhYtWvXztk5AgAAlArUUAAAABcVqCk1efJkpaSkSJJeffVVubu7a82aNerWrZtGjBjh1AQBAABKC2ooAACAiwrUlAoICLB/bbVa9fLLLzstIQAAgNKKGgoAAOCiAq0p1atXL02fPl179uxxdj4AAAClFjUUAADARQVqStlsNo0fP161a9dW9erV9eijj+rTTz/Vr7/+6uz8AAAASg1qKAAAgIsK1JT69NNP9csvv2j//v2aMGGCfHx89O6776pu3bqqVq2as3MEAAAoFaihAAAALipQUypbxYoVValSJVWsWFH+/v4qV66cKleu7KzcAAAASiVqKAAAgAI2pV555RXdcccdqlSpkl5++WWlpKTo5ZdfVmJiojZt2uTsHAEAAEoFaigAAICLCnT3vTfffFOVK1fW6NGjdf/99+vmm292dl4AAAClDjUUAADARQVqSm3atEnLly/XsmXL9O6778pms6lNmzZq27at2rZtS4EFAACQC2ooAACAiwrUlGrSpImaNGmi5557TpK0efNmTZw4UQMGDFBWVpYyMzOdmiQAAEBpQA0FAABwUYGaUsYYbdq0ScuWLdOyZcu0atUqJScnq3HjxmrTpo2zcwQAACgVqKEAAAAuKlBTKiAgQGfOnFGTJk3Upk0bPfXUU2rVqpX8/f2dnB4AAEDpQQ0FAABwUYGaUv/3f/+nVq1aydfX94pxBw4cUGhoqKzWAt3kDwAAoFShhgIAALioQJVOly5drlpMSVL9+vX1+++/F+QlAAAASh1qKAAAgIuu66/fjDHX8/AAAAClEjUUAAAoCzgnHAAAAAAAAEWOphQAAAAAAACKHE0pAAAAAAAAFLnr2pSyWCzX8/AAAAClEjUUAAAoC1joHAAAoJihhgIAAGVBuet58ISEBIWGhl7PlwAAACh1qKEAAEBZUKCm1H333ZfraeUWi0Wenp6qVauWHnnkEdWpU6fQCQIAAJQW1FAAAAAXFejyPT8/Py1ZskQbN26UxWKRxWLRpk2btGTJEmVkZOiLL75QkyZNtHr1amfnCwAAUGJRQwEAAFxUoDOlQkJC9Mgjj2jy5MmyWi/0tbKysvT888+rQoUKmjNnjvr3769hw4Zp1apVTk0YAACgpKKGAgAAuKhAZ0r961//0qBBg+zFlCRZrVYNHDhQH3/8sSwWi6KiorRt2zanJQoAAFDSUUMBAABcVKCmVEZGhnbu3Jlj/86dO5WZmSlJ8vT05HbGAAAAl6CGAgAAuKhAl+899thj6tu3r1555RXddtttkqSff/5Zb7zxhnr16iVJWr58uRo0aOC8TAEAAEo4aigAAICLCtSUmjhxooKDgzVhwgQdPnxYkhQcHKzBgwdr2LBhkqQOHTqoY8eOzssUAACghKOGAgAAuKhATSk3Nze9+uqrevXVV5WcnCxJ8vX1dYipUaNG4bMDAAAoRaihAAAALipQU+pSlxdSAAAAuDpqKAAAUNYVaKHzw4cP67HHHlNoaKjKlSsnNzc3hw0AAAA5UUMBAABcVKAzpR5//HHt27dPI0eOVJUqVbhDDAAAQD5QQwEAAFxUoKbUqlWrtHLlSjVt2tTJ6QAAAJRe1FAAAAAXFejyverVq8sY4+xcAAAASjVqKAAAgIsK1JSaNGmSXn75Zf3+++9OTgcAAKD0ooYCAAC4qECX7z300EM6d+6cbrrpJnl7e8vd3d1h/MSJE05JDgAAoDShhgKAomOMUWpqqqvTgKSUlJRcv4ZreXh4uHx9ywI1pSZNmuSUF1+xYoXefvttbdiwQYcOHdLcuXPVtWtX+/jjjz+umTNnOjwnMjJSCxYssD8+ceKEBg4cqG+//VZWq1XdunVTdHS0fHx87DFbtmzRgAED9PPPP6ty5coaOHCghg4d6nDcmJgYjRw5Ur///rtq166tt956S507d7aPG2M0evRoffLJJzp16pRatmypqVOnqnbt2k6ZCwAAUPo5q4YCAFxdamqqunfv7uo0cJnHHnvM1SngLzExMfL09HRpDgVqSvXu3dspL3727Fk1adJEffr00f33359rTMeOHTV9+nT7Yw8PD4fxnj176tChQ4qNjVV6erqeeOIJ9evXT7Nnz5YkJScnq0OHDmrfvr2mTZumrVu3qk+fPvL391e/fv0kSWvWrNHDDz+s8ePH65577tHs2bPVtWtXbdy4UQ0bNpQkTZgwQe+//75mzpypsLAwjRw5UpGRkUpISHD5XyIAACgZnFVDAQAAlAb5bkolJyfL19fX/vWVZMddTadOndSpU6crxnh4eCgkJCTXsR07dmjBggX6+eef1axZM0nSBx98oM6dO+udd95RaGioZs2apbS0NH322Wey2Wxq0KCB4uPj9d5779mbUtHR0erYsaNeeuklSdK4ceMUGxuryZMna9q0aTLGaNKkSRoxYoTuvfdeSdK///1vBQcHa968eerRo0e+3i8AACh7rkcNBQC4Njsi3lCWm83VaZRdxsiSlXbhS6tNcvElY2WZNTNN9eJecXUadvluSlWsWFGHDh1SUFCQ/P39c73u0Bgji8WizMxMpyW4bNkyBQUFqWLFirr77rv1+uuvq1KlSpKkuLg4+fv72xtSktS+fXtZrVatXbtW9913n+Li4tS6dWvZbBf/AYqMjNRbb72lkydPqmLFioqLi9OQIUMcXjcyMlLz5s2TJO3du1eJiYlq3769fdzPz08tWrRQXFxcnk2p1NRUh2uYr1aIAgCA0sdVNRQA4KIsN5uMm8fVA3HdGHGFUXGQ5eoELpPvptSSJUsUEBAgSVq6dOl1S+hSHTt21P3336+wsDDt2bNHr7zyijp16qS4uDi5ubkpMTFRQUFBDs8pV66cAgIClJiYKElKTExUWFiYQ0xwcLB9rGLFikpMTLTvuzTm0mNc+rzcYnIzfvx4jRkzpgDvHAAAlBauqKEAAABKgnw3pdq0aZPr19fTpWcgNWrUSI0bN9ZNN92kZcuWqV27dkWSQ2EMHz7c4Qys5ORkVa9e3YUZAQCAouaKGgr5x925ig/uzlU8FYe7cwEovfLdlNqyZUu+D9q4ceMCJXM1N954owIDA7V79261a9dOISEhOnLkiENMRkaGTpw4YV+HKiQkRIcPH3aIyX58tZhLx7P3ValSxSGmadOmeebr4eGRY2F2AABQthSHGgp54+5cxRN35yo+isPduQCUXvluSjVt2lQWi0XGmCvGXc/1EA4cOKDjx4/bG0MRERE6deqUNmzYoPDwcEkXTpHPyspSixYt7DGvvvqq0tPT5e7uLkmKjY1VnTp1VLFiRXvM4sWLNWjQIPtrxcbGKiIiQpIUFhamkJAQLV682N6ESk5O1tq1a/XMM89cl/cKAABKh+JQQwEAABRH+W5K7d271+kvfubMGe3evdvhNeLj4xUQEKCAgACNGTNG3bp1U0hIiPbs2aOhQ4eqVq1aioyMlCTVq1dPHTt21FNPPaVp06YpPT1dUVFR6tGjh0JDQyVJjzzyiMaMGaO+fftq2LBh2rZtm6KjozVx4kT76z7//PNq06aN3n33XXXp0kVz5szR+vXr9fHHH0u6UCQOGjRIr7/+umrXrq2wsDCNHDlSoaGh6tq1q9PnBQAAlB7Xo4bC9RH0xg5ZbMVtCdiywxhJaX9dJmYz3JzLhUyaVUdeqefqNACUAfluStWsWdPpL75+/Xrddddd9sfZ6y/17t1bU6dO1ZYtWzRz5kydOnVKoaGh6tChg8aNG+dwSdysWbMUFRWldu3ayWq1qlu3bnr//fft435+flq0aJEGDBig8PBwBQYGatSoUerXr5895o477tDs2bM1YsQIvfLKK6pdu7bmzZunhg0b2mOGDh2qs2fPql+/fjp16pTuvPNOLViwgFNZAQDAFV2PGgrXh8WWJavHlc9ow3XmyfwXB1nF7v5cAEqrfDelvvnmG3Xq1Enu7u765ptvrhj7j3/8I1/HbNu27RVPZV+4cOFVjxEQEKDZs2dfMaZx48ZauXLlFWO6d+9+xfUELBaLxo4dq7Fjx141JwAAgGzXo4YCAAAoDaz5DezatatOnjxp/zqv7b777rtuyQIAAJQ016OGWrFihf7+978rNDRUFotF8+bNcxg3xmjUqFGqUqWKvLy81L59e/36668OMSdOnFDPnj3l6+srf39/9e3bV2fOnHGI2bJli1q1aiVPT09Vr15dEyZMyJFLTEyM6tatK09PTzVq1Ejff//9NecCAADKpnw3pbKyshQUFGT/Oq+NBToBAAAuuh411NmzZ9WkSRNNmTIl1/EJEybo/fff17Rp07R27VqVL19ekZGRSklJscf07NlT27dvV2xsrL777jutWLHCYXmD5ORkdejQQTVr1tSGDRv09ttv67XXXrOvuSlJa9as0cMPP6y+fftq06ZN9gbbtm3brikXAABQNuX78j0AAAAUD506dVKnTp1yHTPGaNKkSRoxYoTuvfdeSdK///1vBQcHa968eerRo4d27NihBQsW6Oeff1azZs0kSR988IE6d+6sd955R6GhoZo1a5bS0tL02WefyWazqUGDBoqPj9d7771nb15FR0erY8eOeumllyRJ48aNU2xsrCZPnqxp06blKxcAAFB2FbgpdfbsWS1fvlz79u1TWlqaw9hzzz1X6MQAAABKo+tdQ+3du1eJiYlq3769fZ+fn59atGihuLg49ejRQ3FxcfL397c3pCSpffv2slqtWrt2re677z7FxcWpdevWstls9pjIyEi99dZbOnnypCpWrKi4uDj7jWoujcm+nDA/ueQmNTVVqamp9sfJycmFmhMAAFA8FagptWnTJnXu3Fnnzp3T2bNnFRAQoGPHjsnb21tBQUE0pQAAAHJRFDVUYmKiJCk4ONhhf3BwsH0sMTHRfklhtnLlyikgIMAhJiwsLMcxsscqVqyoxMTEq77O1XLJzfjx4zVmzJirv1kAAFCi5XtNqUsNHjxYf//733Xy5El5eXnpp59+0h9//KHw8HC98847zs4RAACgVKCGyp/hw4crKSnJvu3fv9/VKQEAgOugQE2p+Ph4vfDCC7JarXJzc1Nqaqr9jiyvvPKKs3MEAAAoFYqihgoJCZEkHT582GH/4cOH7WMhISE6cuSIw3hGRoZOnDjhEJPbMS59jbxiLh2/Wi658fDwkK+vr8MGAABKnwI1pdzd3WW1XnhqUFCQ9u3bJ+nCGgH8JgsAACB3RVFDhYWFKSQkRIsXL7bvS05O1tq1axURESFJioiI0KlTp7RhwwZ7zJIlS5SVlaUWLVrYY1asWKH09HR7TGxsrOrUqaOKFSvaYy59neyY7NfJTy4AAKDsKtCaUrfccot+/vln1a5dW23atNGoUaN07Ngxff7552rYsKGzcwQAACgVnFVDnTlzRrt377Y/3rt3r+Lj4xUQEKAaNWpo0KBBev3111W7dm2FhYVp5MiRCg0NVdeuXSVJ9erVU8eOHfXUU09p2rRpSk9PV1RUlHr06KHQ0FBJ0iOPPKIxY8aob9++GjZsmLZt26bo6GhNnDjR/rrPP/+82rRpo3fffVddunTRnDlztH79en388ceSJIvFctVcAABA2VWgM6XeeOMNValSRZL0z3/+UxUrVtQzzzyjo0eP2osQAAAAOHJWDbV+/XrdcsstuuWWWyRJQ4YM0S233KJRo0ZJkoYOHaqBAweqX79+uu2223TmzBktWLBAnp6e9mPMmjVLdevWVbt27dS5c2fdeeedDjn4+flp0aJF2rt3r8LDw/XCCy9o1KhR6tevnz3mjjvu0OzZs/Xxxx+rSZMm+uqrrzRv3jyHBlt+cgEAAGVTgc6UuvT2wUFBQVqwYIHTEgIAACitnFVDtW3bVsaYPMctFovGjh2rsWPH5hkTEBCg2bNnX/F1GjdurJUrV14xpnv37urevXuhcgEAAGVTgc6Uev3117V3715n5wIAAFCqUUMBAABcVKCmVExMjGrVqqU77rhDH374oY4dO+bsvAAAAEodaigAAICLCtSU2rx5s7Zs2aK2bdvqnXfeUWhoqLp06aLZs2fr3Llzzs4RAACgVKCGAgAAuKhATSlJatCggd544w399ttvWrp0qW644QYNGjRIISEhzswPAACgVKGGAgAAuKDATalLlS9fXl5eXrLZbEpPT3fGIQEAAEo9aigAAFCWFbgptXfvXv3zn/9UgwYN1KxZM23atEljxoxRYmKiM/MDAAAoVaihAAAALihXkCfdfvvt+vnnn9W4cWM98cQTevjhh1W1alVn5wYAAFCqUEMBAABcVKCmVLt27fTZZ5+pfv36zs4HAACg1KKGAgAAuKhATal//vOfkqS0tDTt3btXN910k8qVK9ChAAAAygxqKAAAgIsKtKbU+fPn1bdvX3l7e6tBgwbat2+fJGngwIF68803nZogAABAaUENBQAAcFGBmlIvv/yyNm/erGXLlsnT09O+v3379vriiy+clhwAAEBpQg0FAABwUYHOF583b56++OIL3X777bJYLPb9DRo00J49e5yWHAAAQGlCDQUAAHBRgc6UOnr0qIKCgnLsP3v2rEOBBQAAgIuooQAAAC4qUFOqWbNmmj9/vv1xdhH16aefKiIiwjmZAQAAlDLUUAAAABcV6PK9N954Q506dVJCQoIyMjIUHR2thIQErVmzRsuXL3d2jgAAAKUCNRQAAMBFBTpT6s4779TmzZuVkZGhRo0aadGiRQoKClJcXJzCw8OdnSMAAECpQA0FAABw0TWfKZWenq6nn35aI0eO1CeffHI9cgIAACh1qKEAAAAcXfOZUu7u7vrvf/97PXIBAAAotaihAAAAHBXo8r2uXbtq3rx5Tk4FAACgdKOGAgAAuKhAC53Xrl1bY8eO1erVqxUeHq7y5cs7jD/33HNOSQ4AAKA0oYYCAAC4qEBNqX/961/y9/fXhg0btGHDBocxi8VCQQUAAJALaigAAICLCtSU2rt3r/1rY4ykC4UUAAAA8kYNBQAAcFGB1pSSLvymr2HDhvL09JSnp6caNmyoTz/91Jm5AQAAlDrUUAAAABcU6EypUaNG6b333tPAgQMVEREhSYqLi9PgwYO1b98+jR071qlJAgAAlAbUUAAAABcVqCk1depUffLJJ3r44Yft+/7xj3+ocePGGjhwIAUVAABALqihAAAALirQ5Xvp6elq1qxZjv3h4eHKyMgodFIAAAClETUUAADARQVqSj322GOaOnVqjv0ff/yxevbsWeikAAAASiNqKAAAgIsKdPmedGGRzkWLFun222+XJK1du1b79u1Tr169NGTIEHvce++9V/gsAQAASglqKAAAgAsK1JTatm2bbr31VknSnj17JEmBgYEKDAzUtm3b7HHc4hgAnMMYo9TUVFenAUkpKSm5fg3X8vDwKBF1BzUUAADARQVqSi1dutTZeQAAriA1NVXdu3d3dRq4zGOPPebqFPCXmJgYeXp6ujqNq6KGAgAAuKhAa0oBAAAAAAAAhVHgNaUAAK6xI+INZbnZXJ1G2WWMLFlpF7602iQus3IZa2aa6sW94uo0AAAAUEA0pQCghMlys8m4ebg6jTLNqPhfJlYWZLk6AQAAABQKTalShIWQiw8WQi6eSspCyAAAAABQFtCUKkVYCLl4YiHk4qOkLIQMAAAAAGUBC50DAAAAAACgyLn0TKkVK1bo7bff1oYNG3To0CHNnTtXXbt2tY8bYzR69Gh98sknOnXqlFq2bKmpU6eqdu3a9pgTJ05o4MCB+vbbb2W1WtWtWzdFR0fLx8fHHrNlyxYNGDBAP//8sypXrqyBAwdq6NChDrnExMRo5MiR+v3331W7dm299dZb6ty58zXlUpwEvbFDFhurbbiKMZLS/rpMzGZYB9mFTJpVR16p5+o0AAAAAACXcWlT6uzZs2rSpIn69Omj+++/P8f4hAkT9P7772vmzJkKCwvTyJEjFRkZqYSEBPslOD179tShQ4cUGxur9PR0PfHEE+rXr59mz54tSUpOTlaHDh3Uvn17TZs2TVu3blWfPn3k7++vfv36SZLWrFmjhx9+WOPHj9c999yj2bNnq2vXrtq4caMaNmyY71yKE4stS1YP4+o0yjZP5r84yGIpZAAAgDLJmIv1uCWTtXcByfFn4dKfEVdxaVOqU6dO6tSpU65jxhhNmjRJI0aM0L333itJ+ve//63g4GDNmzdPPXr00I4dO7RgwQL9/PPPatasmSTpgw8+UOfOnfXOO+8oNDRUs2bNUlpamj777DPZbDY1aNBA8fHxeu+99+xNqejoaHXs2FEvvfSSJGncuHGKjY3V5MmTNW3atHzlAgAAAAAoPi69CVT9uFddmAlQPKWmpsrLy8ulORTbNaX27t2rxMREtW/f3r7Pz89PLVq0UFxcnCQpLi5O/v7+9oaUJLVv315Wq1Vr1661x7Ru3Vo2m80eExkZqV27dunkyZP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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.groupby('case_status')['prevailing_wage'].describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "YC-C-aWzdehH",
        "outputId": "0445eb47-c376-414d-c6cf-58ad33510471"
      },
      "id": "YC-C-aWzdehH",
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               count          mean           std     min        25%       50%  \\\n",
              "case_status                                                                     \n",
              "Certified    17018.0  77293.619243  52042.715576  2.1367  38375.330  72486.27   \n",
              "Denied        8462.0  68748.681580  53890.166031  2.9561  23497.295  65431.46   \n",
              "\n",
              "                     75%        max  \n",
              "case_status                          \n",
              "Certified    108879.1075  318446.05  \n",
              "Denied       105097.6400  319210.27  "
            ],
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              "      <th>min</th>\n",
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              "      <th>max</th>\n",
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              "      <th>Certified</th>\n",
              "      <td>17018.0</td>\n",
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              "      <th>Denied</th>\n",
              "      <td>8462.0</td>\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**A5.** The prevailing wage distribution is comparable between both groups, with some minor differences:\n",
        "* The upper whisker (Q3+1.5IQR or the highest value that is not considered an outlier on the plot) is similar in both groups.\n",
        "* There is a slightly higher prevailing wage range for those who were denied compared to those who were certified.\n",
        "* The median prevailing wage is slightly higher for those who were certified compared to those who were denied."
      ],
      "metadata": {
        "id": "BXPdeZSqgBn-"
      },
      "id": "BXPdeZSqgBn-"
    },
    {
      "cell_type": "markdown",
      "id": "alleged-spirituality",
      "metadata": {
        "id": "alleged-spirituality"
      },
      "source": [
        "## Data Preprocessing\n",
        "\n",
        "- Missing value treatment (if needed)\n",
        "- Feature engineering \n",
        "- Outlier detection and treatment (if needed)\n",
        "- Preparing data for modeling \n",
        "- Any other preprocessing steps (if needed)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Missing value treatment (if needed)"
      ],
      "metadata": {
        "id": "4AC6aZJCuwX8"
      },
      "id": "4AC6aZJCuwX8"
    },
    {
      "cell_type": "code",
      "source": [
        "print(f'Total number of missing values is {df.isnull().sum().sum()}')"
      ],
      "metadata": {
        "id": "S-T_HDxquwhT",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1f3e59c0-643a-46f3-9412-3edabfe226f1"
      },
      "id": "S-T_HDxquwhT",
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total number of missing values is 0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* There is no missing values (NaN, None, etc.) in the dataset\n",
        "* Statistical summary of the dataset shows that there is no unexpected zeroes in the dataset as well"
      ],
      "metadata": {
        "id": "CvVSP9LyoqHF"
      },
      "id": "CvVSP9LyoqHF"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Feature engineering"
      ],
      "metadata": {
        "id": "rDXA0L6kuwrU"
      },
      "id": "rDXA0L6kuwrU"
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Wrong data\n",
        "* *Wrong data refers to data that is incorrect, inaccurate, or does not reflect reality.*\n",
        "* *Such data may have been inputted incorrectly, or there may have been errors in processing or recording the data. Wrong data can lead to incorrect analysis and decision-making.*\n",
        "* *Therefore, it is important to carefully check the data to ensure that it is accurate before using it for any decision-making purposes.*"
      ],
      "metadata": {
        "id": "lO44G1AYjee7"
      },
      "id": "lO44G1AYjee7"
    },
    {
      "cell_type": "code",
      "source": [
        "#Fixing the negative values in number of employees columns\n",
        "df = df[df['no_of_employees']>0]"
      ],
      "metadata": {
        "id": "TdZu2JLRZkyQ"
      },
      "id": "TdZu2JLRZkyQ",
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(12, 6))\n",
        "sns.boxplot(data=df, x='unit_of_wage', y='prevailing_wage', ax=ax)\n",
        "plt.xlabel('Unit of wage', fontsize=12)\n",
        "plt.ylabel('Prevailing wage', fontsize=12)\n",
        "plt.title('Wage amount vs. unit', fontsize=16)\n",
        "plt.show();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 570
        },
        "id": "3FW4VjfRkRD0",
        "outputId": "b908c743-5bfd-4c7e-8380-8bab072b6c43"
      },
      "id": "3FW4VjfRkRD0",
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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rJCREVapUUdeuXXP9LXOfPn3UsmVLnThxQnfddZd69+6tgQMHqnbt2nr11Vc1ceLEXG2noEyfPl1du3bVgQMH1KBBA/Xq1UuDBg1SnTp19P7776ty5cpatmxZlv3y8ssvy8PDQ++//74aNGighx9+WO3atVPr1q3VpUuXbI+cyI9+/frJzc1Nb775pu677z6NGDFCjz/+eLZHRNxM5lEEb7/9tq5fv66HHnrIvvjjjdasWaPOnTvL19dX3bt319ChQ9W3b1/5+/srKipKd9xxh5577jnLY44dO6Z9+/Zle3TLzTh6X+bknnvuUY0aNbRt2za1aNFCYWFhevzxx/Xaa6855PkBAFkRFgAAXN6NH/w7deqU7YKChmGoY8eO2T4m04MPPqg1a9aoa9euOnXqlL777judPn1a06ZN0w8//KDSpUtn+/w1atTQL7/8ovDwcHl5een777/X5s2bNXjwYG3YsEGXL1+WlP1ChTNnztS6des0ZMgQXb58WVFRUVqxYoVOnjypLl266IMPPsj22+nslCpVSrGxsfrLX/6iO+64QzExMYqNjVXz5s0VFxdnuXyfI3h6eioqKkrvvPOOmjZtqrVr1+rrr79W6dKlNXbsWP3666/ZXjaybdu2WrNmjbp37674+HitWLFCV69e1Zw5c+yH9xekJk2a6KuvvlJwcLA2btyohQsX6sMPP9TWrVtvaztt27bV3Xffbb+f0ykIw4YN06RJk1S/fn3t3r1by5YtU1xcnAICAvS3v/1Nv/76q/2b+Pxy9L7MiYeHh6Kjo/XAAw/oxIkT+vTTT/Xhhx9qxYoVDusBAGBlmDkteQwAAArdxYsXdeeddyoxMVEJCQm5vrIBAABAYeLIAgAAHOCXX37JMnbmzBmFhYXpwoUL6t27N0EBAAAoMjiyAAAABzAMQ/7+/mrQoIEqV66s//znP9q2bZsuX76smjVr6ueff7ZfLhEAAMDZCAsAAHCA559/XjExMTp48KAuXLggDw8P1a5dW71791ZkZKQqV67s7BYBAADsCAsAAAAAAIAFaxYAAAAAAAALwgIAAAAAAGBRytkNlGQZGRk6efKkypcvn+01vwEAAAAAKEimaerSpUuqUaOG3NxyPn6AsMCJTp48ycrXAAAAAACHO378uPz9/XOsExY4Ufny5SX9/h/J29vbyd0AAAAAAFxdUlKSAgIC7J9Hc0JY4ESZpx54e3sTFgAAAAAAHOZWp8KzwCEAAAAAALAgLAAAAAAAABaEBQAAAAAAwIKwAAAAAAAAWBAWAAAAAAAAC8ICAAAAAABgQVgAAAAAAAAsCAsAAAAAAIAFYQEAAAAAALAgLAAAAAAAABaEBQAAAAAAwIKwAAAAAAAAWBAWAAAAAAAAC8ICAECJsG7dOj388MNat26ds1sBAAAo8ggLAAAuLzk5WTNmzFBCQoJmzJih5ORkZ7cEAABQpBEWAABc3sKFC5WUlCRJSkpK0qJFi5zcEQAAQNFGWAAAcGknTpzQZ599Zhn77LPPdOLECSd1BAAAUPQRFgAAXJZpmnrllVdkmqZlPCMjI9txAAAA/I6wAADgso4cOaIdO3ZkW9uxY4eOHDni2IYAAACKCcICAAAAAABgQVgAAHBZQUFBaty4cba1Jk2aKCgoyLENAQAAFBOEBQAAl2UYhoYPH55tbfjw4TIMw8EdAQAAFA+EBQAAl2WaphYsWJBt7aOPPmKBQwAAgBwQFgAAXNaRI0e0c+fObGs7d+5kgUMAAIAcEBYAAAAAAAALwgIAgMsKCgpSkyZNsq01bdqUBQ4BAAByQFgAAHBZhmFo2LBh2daGDRvGAocAAAA5ICwAALgs0zT12WefZQkFDMPQkiVLWOAQAAAgB4QFAACXdfToUW3atClLKGCapjZt2qSjR486qTMAAICijbAAAOCyAgMD1bp1a7m5WX/dubm5qU2bNgoMDHRSZwAAAEUbYQEAwGUZhqGIiAhlZGRYxjMyMhQREcGaBQAAADkgLAAAuLT4+Phsx0+dOuXgTgAAAIoPwgIAgMvKyMjQ1KlTs61NnTo1yxEHAAAA+B1hAQDAZa1fv16XL1/Otnb58mWtX7/ewR0BAAAUD4QFAACXVb169XzVAQAASirCAgCAy7rVugSsWwAAAJA9wgIAgMsKDg7OctnETG5ubgoODnZwRwAAAMUDYQEAwGUdP348x0UMMzIydPz4cQd3BAAAUDwQFgAAXFZgYKAaN26cba1JkyYKDAx0cEcAAADFQ5EKC+bNm6cmTZrI29tb3t7eCg4O1g8//GCvJycnKzw8XJUrV1a5cuU0YMAAJSQkWLZx7Ngx9erVS2XKlFG1atX07LPP6vr165Y5sbGxatGihTw9PVWnTh0tXLgwSy9vv/22goKCZLPZ1LZtW/3yyy+Wem56AQA4n2EYzm4BAACg2ClSYYG/v79eeeUVbdmyRZs3b9a9996rvn37ateuXZKkiIgILV++XMuWLdOaNWt08uRJPfjgg/bHp6enq1evXkpNTdX69eu1aNEiLVy40HKN7cOHD6tXr14KCQnR9u3bNX78eD3++OOKjo62z1m6dKkiIyP1wgsvaOvWrWratKlCQ0N1+vRp+5xb9QIAcL6jR49qx44d2dZ27Niho0ePOrgjAACA4sEwTdN0dhM3U6lSJb322mt66KGHVLVqVS1ZskQPPfSQJGnv3r1q0KCB4uLidM899+iHH35Q7969dfLkSfn6+kqS5s+fr4kTJ+rMmTPy8PDQxIkTtWLFCv3222/25xg0aJAuXryoqKgoSVLbtm3VunVrzZ07V9Lv57UGBARo7NixmjRpkhITE2/ZS24kJSXJx8dHiYmJ8vb2LrB9BgD4nWmamjBhgrZs2WJZu8DNzU2tWrXSa6+9xpEHAACgRMnt59AidWTBjdLT0/X555/rypUrCg4O1pYtW5SWlqZu3brZ59SvX181a9ZUXFycJCkuLk6NGze2BwWSFBoaqqSkJPvRCXFxcZZtZM7J3EZqaqq2bNlimePm5qZu3brZ5+Sml+ykpKQoKSnJcgMAFB7DMBQREaE/5uKmaSoiIoKgAAAAIAdFLizYuXOnypUrJ09PT40aNUpff/21GjZsqPj4eHl4eKhChQqW+b6+voqPj5ckxcfHW4KCzHpm7WZzkpKSdO3aNZ09e1bp6enZzrlxG7fqJTszZsyQj4+P/RYQEJC7nQIAyJfswoIifmAdAACAUxW5sKBevXravn27Nm7cqNGjRyssLEy7d+92dlsFYvLkyUpMTLTfuGQXABQu0zQ1Y8aMbGszZswgMAAAAMhBKWc38EceHh6qU6eOJKlly5batGmT5syZo4EDByo1NVUXL160fKOfkJAgPz8/SZKfn1+WqxZkXqHgxjl/vGpBQkKCvL295eXlJXd3d7m7u2c758Zt3KqX7Hh6esrT0/M29gYAID+OHDminTt3ZlvbuXOnjhw5olq1ajm4KwAAgKKvyB1Z8EcZGRlKSUlRy5YtVbp0acXExNhr+/bt07FjxxQcHCxJCg4O1s6dOy1XLVi5cqW8vb3VsGFD+5wbt5E5J3MbHh4eatmypWVORkaGYmJi7HNy0wsAAAAAAMVVkTqyYPLkyerZs6dq1qypS5cuacmSJYqNjVV0dLR8fHw0cuRIRUZGqlKlSvL29tbYsWMVHBxsv/pA9+7d1bBhQz366KOaOXOm4uPjNWXKFIWHh9u/0R81apTmzp2r5557TiNGjNCqVav0xRdfaMWKFfY+IiMjFRYWplatWqlNmzaaPXu2rly5ouHDh0tSrnoBADhfUFCQmjRpku3lE5s2baqgoCDHNwUAAFAMFKmw4PTp03rsscd06tQp+fj4qEmTJoqOjtZ9990nSXrjjTfk5uamAQMGKCUlRaGhoXrnnXfsj3d3d9f333+v0aNHKzg4WGXLllVYWJhefPFF+5xatWppxYoVioiI0Jw5c+Tv768PPvhAoaGh9jkDBw7UmTNnNHXqVMXHx6tZs2aKioqyLHp4q14AAM5nGIZ69eqVbVjQq1cvroYAAACQA8NkdSenye31LQEAeZORkaHevXvr8uXLWWrlypXT999/Lze3In9GHgAAQIHJ7edQ/kICALisuLi4bIMCSbp8+bLi4uIc3BEAAEDxQFgAAHBZ1atXz1cdAACgpCIsAAC4rKCgIJUpUybbWpkyZVjgEAAAIAeEBQAAl3Xs2DFdvXo129rVq1d17NgxB3cEAABQPBAWAABcVmBgoBo3bpxtrUmTJgoMDHRwRwAAAMUDYQEAwKVxeUQAAIDbR1gAAHBZR48e1Y4dO7Kt7dixQ0ePHnVwRwAAAMUDYQEAwGXVrFkzx+sHe3t7q2bNmg7uCAAAoHggLAAAuKxjx44pKSkp21pSUhILHAIAAOSAsAAA4LICAgLk7u6ebc3d3V0BAQEO7ggAAKB4ICwAALisDRs2KD09Pdtaenq6NmzY4OCOAAAAigfCAgCAy/Lz88tXHQAAoKQiLAAAuKxbXTaRyyoCAABkj7AAAOCyTpw4ka86AABASUVYAABwWWfPns1XHYBjrFu3Tg8//LDWrVvn7FYAAP9FWAAAcFl9+/bNVx1A4UtOTtasWbOUkJCgWbNmKTk52dktAQBEWAAAcGGmaearDqDwffrppzp37pwk6dy5c1q8eLGTOwIASIQFAAAXtmDBgnzVARSuEydOaPHixfbgzjRNLV68mPVEAKAIICwAALisOnXq5KsOoPCYpqk33ngjx3GO/AEA5yIsAAC4rAMHDuSrDqDwHD16VJs2bVJ6erplPD09XZs2bdLRo0ed1BkAQCIsAAC4sM6dO+erDqDwBAYGqnXr1nJ3d7eMu7u7q02bNgoMDHRSZwAAibAAAODCYmNj81UHUHgMw1BERESO44ZhOKErAEAmwgIAgMuqW7duvuoACpe/v7+GDBliDwYMw9CQIUN0xx13OLkzAABhAQDAZbFmAVD0DR06VJUrV5YkValSRUOGDHFyRwAAibAAAODCwsLC8lUHUPhsNpueeeYZ+fr6KjIyUjabzdktAQAklXJ2AwAAFJZffvnllvUOHTo4qBsAOWnfvr3at2/v7DYAADfgyAIAgMvy8/PLVx0AAKCkIiwAALisbdu25asOAABQUhEWAABc1tmzZ/NVBwAAKKkICwAALuvSpUv5qgMAAJRUhAUAAJfVt2/ffNUBAABKKsICAIDL2rFjR77qAAAAJRVhAQDAZRmGka86AABASUVYAABwWVWqVMlXHQAAoKQiLAAAuCzTNPNVBwAAKKkICwAALmvVqlX5qgMAAGndunV6+OGHtW7dOme3AgciLAAAuKyQkJB81QEAKOmSk5M1a9YsJSQkaNasWUpOTnZ2S3AQwgIAgMs6d+5cvuoAAJR0n376qf335blz57R48WIndwRHISwAAAAAAGRx4sQJLV682L7Gj2maWrx4sU6cOOHkzuAIhAUAAJfFkQUAAOSNaZp64403chxnkWDXR1gAAHBZlStXzlcdAICS6ujRo9q0aZPS09Mt4+np6dq0aZOOHj3qpM7gKIQFAACXxaUTAQDIm8DAQLVu3Vru7u6WcXd3d7Vp00aBgYFO6gyOQlgAAHBZhmHkqw4AQEllGIYiIiJyHOd3qOsjLAAAuCyOLAAAIO/8/f01ZMgQezBgGIaGDBmiO+64w8mdwREICwAALuuPh07ebh0AgJJu6NCh9jV+qlSpoiFDhji5IzgKYQEAwGU1atQoX3UAAEo6m82mZ555Rr6+voqMjJTNZnN2S3CQUs5uAACAwrJmzZpb1uvVq+egbgAAKJ7at2+v9u3bO7sNOBhHFgAAXFb58uXzVQcAACipCAsAAC5r9+7d+aoDAACUVIQFAACXFRISkq86AABASUVYAABwWWfPns1XHQAAoKQiLAAAuKxDhw7lqw4AAFBSERYAAFxWUFBQvuoAAAAlFWEBAMBl/fbbb/mqAwAAlFSEBQAAl+Xn55evOgAAQElVpMKCGTNmqHXr1ipfvryqVaumfv36ad++fZY5Xbp0kWEYltuoUaMsc44dO6ZevXqpTJkyqlatmp599lldv37dMic2NlYtWrSQp6en6tSpo4ULF2bp5+2331ZQUJBsNpvatm2rX375xVJPTk5WeHi4KleurHLlymnAgAFKSEgomJ0BAMi3q1ev5qsOAACkdevW6eGHH9a6deuc3QocqEiFBWvWrFF4eLg2bNiglStXKi0tTd27d9eVK1cs85544gmdOnXKfps5c6a9lp6erl69eik1NVXr16/XokWLtHDhQk2dOtU+5/Dhw+rVq5dCQkK0fft2jR8/Xo8//riio6Ptc5YuXarIyEi98MIL2rp1q5o2barQ0FCdPn3aPiciIkLLly/XsmXLtGbNGp08eVIPPvhgIe4hAMDt6Nu3b77qAACUdMnJyZo1a5YSEhI0a9YsJScnO7slOIhhmqbp7CZycubMGVWrVk1r1qxRp06dJP1+ZEGzZs00e/bsbB/zww8/qHfv3jp58qR8fX0lSfPnz9fEiRN15swZeXh4aOLEiVqxYoXlXNVBgwbp4sWLioqKkiS1bdtWrVu31ty5cyVJGRkZCggI0NixYzVp0iQlJiaqatWqWrJkiR566CFJ0t69e9WgQQPFxcXpnnvuueXrS0pKko+PjxITE+Xt7Z3n/QQAyN4XX3xh//94dsaMGaM//elPDuwIAIDi5YMPPtAnn3wi0zRlGIYee+wxjRw50tltIR9y+zm0SB1Z8EeJiYmSpEqVKlnGFy9erCpVqqhRo0aaPHmy5TDSuLg4NW7c2B4USFJoaKiSkpK0a9cu+5xu3bpZthkaGqq4uDhJUmpqqrZs2WKZ4+bmpm7dutnnbNmyRWlpaZY59evXV82aNe1z/iglJUVJSUmWGwCg8Gzbti1fdQAASrITJ05o8eLFyvx+2TRNLV68WCdOnHByZ3CEIhsWZGRkaPz48Wrfvr0aNWpkH3/kkUf06aefavXq1Zo8ebI++eQTDR061F6Pj4+3BAWS7Pfj4+NvOicpKUnXrl3T2bNnlZ6enu2cG7fh4eGhChUq5Djnj2bMmCEfHx/7LSAg4Db2CADgdt3qqC2O6gIAIHumaeqNN97IcbwIH6COAlLK2Q3kJDw8XL/99pt+/vlny/iTTz5p/7lx48aqXr26unbtqoMHD6p27dqObvO2TJ48WZGRkfb7SUlJBAYAUIhq1qyZrzoAACXV0aNHtWnTpizj6enp2rRpk44ePaqgoCDHNwaHKZJHFowZM0bff/+9Vq9eLX9//5vObdu2rSTpwIEDkn6/DNYfr0iQeT/zElk5zfH29paXl5eqVKkid3f3bOfcuI3U1FRdvHgxxzl/5OnpKW9vb8sNAFB4Vq9ena86AAAlVWBgoFq3bi3DMCzjhmGoTZs2CgwMdFJncJQiFRaYpqkxY8bo66+/1qpVq1SrVq1bPmb79u2SpOrVq0uSgoODtXPnTstVC1auXClvb281bNjQPicmJsaynZUrVyo4OFiS5OHhoZYtW1rmZGRkKCYmxj6nZcuWKl26tGXOvn37dOzYMfscAIBzXbp0KV91AABKKsMwNHjw4CynG5imqcGDB2cJEeB6itRpCOHh4VqyZIm+/fZblS9f3n7uv4+Pj7y8vHTw4EEtWbJE999/vypXrqwdO3YoIiJCnTp1UpMmTSRJ3bt3V8OGDfXoo49q5syZio+P15QpUxQeHi5PT09J0qhRozR37lw999xzGjFihFatWqUvvvhCK1assPcSGRmpsLAwtWrVSm3atNHs2bN15coVDR8+3N7TyJEjFRkZqUqVKsnb21tjx45VcHBwrq6EAAAofFWqVNGpU6duWgcAAFmZpqnPPvtMhmFYAgPDMLRkyRK1aNGCwMDFFamwYN68eZJ+vzzijRYsWKBhw4bJw8ND//rXv+wf3AMCAjRgwABNmTLFPtfd3V3ff/+9Ro8ereDgYJUtW1ZhYWF68cUX7XNq1aqlFStWKCIiQnPmzJG/v78++OADhYaG2ucMHDhQZ86c0dSpUxUfH69mzZopKirKsujhG2+8ITc3Nw0YMEApKSkKDQ3VO++8U0h7BwBwuxo2bKidO3fetA4AALLKac0C0zRZs6CEMEyWsXSa3F7fEgCQNzNmzNAPP/yQY71nz56aPHmyAzsCAKB4ME1TEyZM0NatW5Wenm4fd3d3V8uWLfXaa69xZEExldvPoUVqzQIAAApSxYoV81UHAKCkMgxDEREROY4TFLg+wgIAgMsKCQnJVx0AgJLM399fQ4YMsQcDhmFoyJAhuuOOO5zcGRyBsAAA4LK++uqrfNUBACjphg4dqsqVK0v6fWHgIUOGOLkjOAphAQDAZe3fvz9fdQAASjqbzaZnnnlGvr6+ioyMlM1mc3ZLcBDCAgCAyxo0aFC+6gAAQGrfvr2WLVum9u3bO7sVOBBhAQDAZcXGxuarDgAAUFIRFgAAXNbhw4fzVQcAACipCAsAAC6revXq+aoDAACUVIQFAACXFR8fn686AMdYt26dHn74Ya1bt87ZrQAA/ouwAADgsoKDg/NVB1D4kpOTNWvWLCUkJGjWrFlKTk52dksAABEWAABcmJ+fX77qAArfp59+qnPnzkmSzp07p8WLFzu5IwCAJJVydgMAABSWzA8gea0DKFwnTpzQ4sWLZZqmJMk0TS1evFihoaHy9/d3cndAwTFNs9geNWOaplJSUiRJnp6eMgzDyR3dPpvNViz7djbCAgCAy7p48WK+6gAKj2maeuONN3Ic//vf/84f93AZycnJCg0NdXYbJVZ0dLS8vLyc3Uaxw2kIAACX5e3tna86gMJz9OhRbdq0Senp6Zbx9PR0bdq0SUePHnVSZwAAiSMLAAAu7N///ne+6gAKT2BgoFq3bq2tW7daAgN3d3e1bNlSgYGBTuwOKFg2m03R0dHObiNPkpOT1bdvX0nSt99+K5vN5uSObl9x7LkoICwAALisihUr5qsOoPAYhqGIiAg9+uij2Y5zCgJciWEYLnEYvM1mc4nXgdzhNAQAgMvauXNnvuoACpe/v78aNmxoGWvYsKHuuOMOJ3UEAMhEWAAAcFmNGzfOVx1A4Tpx4oR27dplGdu1a5dOnDjhpI4AAJkICwAALmv//v35qgMoPJlXPcjudIM33njDfjlFAIBzEBYAAFxWpUqV8lUHUHi4GgIAFG2EBQAAl3Xt2rV81QEUnsyrIbi7u1vG3d3d1aZNG66GAABORlgAAHBZVapUyVcdQOHJvOpBTuNcDQEAnIuwAADgssqVK5evOoDC5e/vryFDhtiDAcMwNGTIEK6GAABFAGEBAMBlnTt3Ll91AIVv6NChqly5sqTfj/YZMmSIkzsCAEiEBQAAF9a8efN81QEUPpvNpmeeeUa+vr6KjIyUzWZzdksAABEWAABc2Lp16/JVB+AY7du317Jly9S+fXtntwIA+C/CAgCAy2rSpEm+6gAAACUVYQEAwGUlJibmqw4AAFBSERYAAFzWyZMn81UHAAAoqQgLAAAu6z//+U++6gAAACUVYQEAwGWlp6fnqw4AAFBSERYAAFxWq1at8lUHAAAoqQgLAAAuy93dPV91AACAkoqwAADgsk6dOpWvOgAAQElFWAAAcFmGYeSrDgAAUFIRFgAAAAAAAAvCAgCAy/Ly8spXHQAAoKQiLAAAuKz4+Ph81QEAAEoqwgIAgMsqV65cvuoAAAAlFWEBAMBlpaSk5KsOAABQUpVydgMAgOLBNE0lJyc7u43bUrFixVvWr1275qBu8sdms3H1BgAA4DCEBQCAXElOTlZoaKiz2yhQv/zyS7F5TdHR0SzICAAAHIbTEAAAAAAAgAVHFgAAcsVmsyk6OtrZbdyWtLQ09e7dO8f6999/r9KlSzuwo7yz2WzObgEAAJQghAUAgFwxDKPYHQbv5eWlQYMG6fPPP89SGzJkiLy9vZ3QFQAAQNHHaQgAAJf25z//OcvCgIZh6KmnnnJSRwAAAEUfYQEAwOXNnTvXcv+DDz5wUicAAADFA2EBAMDl1alTx/5zzZo1VbduXSd2AwAAUPTla82ClJQUbd26VadPn1b79u1VpUqVguoLAIBC8f777zu7BQAAgCIvz0cWvPnmm6pevbo6dOigBx98UDt27JAknT17VlWqVNFHH31UYE0CAAAAAADHyVNYsGDBAo0fP149evTQhx9+KNM07bUqVaro3nvvzXblaQAAAAAAUPTlKSyYNWuW+vbtqyVLlqhPnz5Z6i1bttSuXbvy3RwAAAAAAHC8PIUFBw4cUM+ePXOsV6pUSefOnctzUwAAAAAAwHnyFBZUqFBBZ8+ezbG+e/du+fn55bkpAAAAAADgPHkKC+6//3699957unjxYpbarl279P777+uBBx7Ib28AAAAAAMAJ8hQWvPzyy0pPT1ejRo00ZcoUGYahRYsWaejQoWrVqpWqVaumqVOn3vZ2Z8yYodatW6t8+fKqVq2a+vXrp3379lnmJCcnKzw8XJUrV1a5cuU0YMAAJSQkWOYcO3ZMvXr1UpkyZVStWjU9++yzun79umVObGysWrRoIU9PT9WpU0cLFy7M0s/bb7+toKAg2Ww2tW3bVr/88stt9wIAAAAAQHGTp7CgRo0a2rJli3r06KGlS5fKNE198sknWr58uQYPHqwNGzaoSpUqt73dNWvWKDw8XBs2bNDKlSuVlpam7t2768qVK/Y5ERERWr58uZYtW6Y1a9bo5MmTevDBB+319PR09erVS6mpqVq/fr0WLVqkhQsXWsKLw4cPq1evXgoJCdH27ds1fvx4Pf7444qOjrbPWbp0qSIjI/XCCy9o69atatq0qUJDQ3X69Olc9wIAAAAAQHFkmDde9zCPzpw5o4yMDFWtWlVubnnKH3LcbrVq1bRmzRp16tRJiYmJqlq1qpYsWaKHHnpIkrR37141aNBAcXFxuueee/TDDz+od+/eOnnypHx9fSVJ8+fP18SJE3XmzBl5eHho4sSJWrFihX777Tf7cw0aNEgXL15UVFSUJKlt27Zq3bq15s6dK0nKyMhQQECAxo4dq0mTJuWql1tJSkqSj4+PEhMT5e3tXWD7DQBgde3aNYWGhkqSoqOj5eXl5eSOAAAoHvgd6npy+zm0QD7ZV61aVb6+vgUaFEhSYmKipN+vriBJW7ZsUVpamrp162afU79+fdWsWVNxcXGSpLi4ODVu3NgeFEhSaGiokpKS7JdzjIuLs2wjc07mNlJTU7VlyxbLHDc3N3Xr1s0+Jze9/FFKSoqSkpIsNwAAAAAAippSeXnQiy++eNO6YRiy2Wzy9/dXp06ddMcdd9z2c2RkZGj8+PFq3769GjVqJEmKj4+Xh4eHKlSoYJnr6+ur+Ph4+5wbg4LMembtZnOSkpJ07do1XbhwQenp6dnO2bt3b657+aMZM2Zo+vTpudwDAAAAAAA4R57CgmnTpskwDEnSH89i+OO4u7u7nnjiCc2dO/e2jjwIDw/Xb7/9pp9//jkvLRZJkydPVmRkpP1+UlKSAgICnNgRAAAAAABZ5em8gRMnTqhJkyYKCwvTli1blJiYqMTERG3evFmPPfaYmjVrpn//+9/aunWrhgwZonfffVd/+9vfcr39MWPG6Pvvv9fq1avl7+9vH/fz81NqamqWSzYmJCTIz8/PPuePVyTIvH+rOd7e3vLy8lKVKlXk7u6e7Zwbt3GrXv7I09NT3t7elhsAAAAAAEVNnsKCP//5z6pfv74++ugjNW/eXOXLl1f58uXVokULLViwQHXr1tWkSZPUrFkzLVy4UKGhofr4449vuV3TNDVmzBh9/fXXWrVqlWrVqmWpt2zZUqVLl1ZMTIx9bN++fTp27JiCg4MlScHBwdq5c6flqgUrV66Ut7e3GjZsaJ9z4zYy52Ruw8PDQy1btrTMycjIUExMjH1ObnoBAAAAAKA4ylNYsGrVKnXu3DnHeufOnbVy5Ur7/fvvv1/Hjh275XbDw8P16aefasmSJSpfvrzi4+MVHx+va9euSZJ8fHw0cuRIRUZGavXq1dqyZYuGDx+u4OBg+9UHunfvroYNG+rRRx/Vr7/+qujoaE2ZMkXh4eHy9PSUJI0aNUqHDh3Sc889p7179+qdd97RF198oYiICHsvkZGRev/997Vo0SLt2bNHo0eP1pUrVzR8+PBc9wIAAAAAQHGUpzULPD09tXHjRo0aNSrb+oYNG+Th4WG/f/36dZUrV+6W2503b54kqUuXLpbxBQsWaNiwYZKkN954Q25ubhowYIBSUlIUGhqqd955xz7X3d1d33//vUaPHq3g4GCVLVtWYWFhlkUZa9WqpRUrVigiIkJz5syRv7+/PvjgA/slQSRp4MCBOnPmjKZOnar4+Hg1a9ZMUVFRlkUPb9ULAAAAAADFkWH+cYXCXBg3bpzefvttRUREaPTo0fbTBQ4fPqx33nlHs2fPVnh4uN58801JUt++fXXhwgX99NNPBdt9MZfb61sCAPKHa0SjJDBNU8nJyc5u47aZpqmUlBRJv38hlblYdnFjs9mKbe/AzfA71PXk9nNono4smDlzphISEvT666/bv12Xfj+v3zRNDRgwQDNnzpQkJScnq2XLlmrXrl1engoAAAC5kJycbDlKEo7FhygAriZPYYHNZtPSpUs1adIkRUVF6ejRo5KkwMBAhYaGqkWLFpa5U6dOLZhuAQAAAABAoctTWJCpefPmat68eUH1AgAAgDyy2WyKjo52dhu3LTk5WX379pUkffvtt7LZbE7uKG+Ka98AkJN8hQUAAAAoGgzDKPaHwdtstmL/GgDAVeTp0omS9MMPP+i+++5T5cqVVapUKbm7u2e5AQAAAACA4idPYcFXX32l3r17KyEhQYMGDVJGRoYGDx6sQYMGycvLS02aNGGdAgAAAAAAiqk8hQUzZsxQmzZttG3bNk2fPl2SNGLECC1evFi//fabTp06Zb+cIgAAAAAAKF7yFBbs3r1bgwYNkru7u0qV+n3Zg7S0NElSUFCQ/vznP+vVV18tuC4BAAAAAIDD5CksKFOmjDw8PCRJFSpUkKenp06dOmWv+/r66vDhwwXTIQAAAAAAcKg8hQX16tXT7t277febNWumTz75RNevX1dycrKWLFmimjVrFliTAAAAAADAcfIUFvTv31/ffvutUlJSJEl//etfFRsbqwoVKqhq1apau3atJk2aVKCNAgAAAAAAxyiVlwdNmDBBEyZMsN/v3bu3YmNj9Y9//EPu7u7q1auXQkJCCqxJAAAAAADgOHkKC7LTsWNHdezYsaA2BwAAAAAAnCRPpyFMnjxZUVFRSkpKKuh+AAAAAACAk+UpLJg7d6569eqlypUrq3nz5ho3bpyWLVumhISEgu4PAAAAAAA4WJ5OQ0hMTNS2bdv0008/6eeff9bSpUs1d+5cGYah2rVrq2PHjurUqZPCwsIKul8AAAAAAFDI8nRkgZubm1q2bKmIiAh99dVXSkhI0J49e/TWW2/Jzc1NCxYs0IgRIwq6VwAAAAAA4AD5WuDw6tWriouL09q1a7V27Vpt2LBB165dU7169VjsEAAAAACAYirPl05cu3attm3bpoyMDDVt2lQdO3ZUeHi4OnbsqKpVqxZ0nwAAAAAAwEHyFBa8/vrrcnd314ABAzRp0iQ1a9asgNsCAAAAAADOkqc1C1577TX17t1bMTExatmypfz9/TV48GC988472rlzZ0H3CAAAAAAAHChPYcEzzzyjr7/+WmfOnNHOnTv1/PPPq1SpUpo5c6aaNWumSpUqqU+fPgXdKwAAAAAAcIB8LXAoSQ0bNlTt2rVVr1491a1bV5999pn27dunf/7znwXRHwAAAAAAcLA8hQVJSUn6+eeftXbtWv3000/asmWL0tLSVLp0abVu3Vr9+/fnaggAAAAAABRTeQoLKlWqJNM0Vb58ebVr104vvPCCOnTooDZt2sjT07OgewQAAAAAAA6Up7DgjTfeUMeOHdW0aVMZhlHQPQEAAAAAACfKU1gwduzYgu4DAAAAAAAUEXm6GgIAAAAAAHBdhAUAAAAAAMCCsAAAAAAAAFgQFgAAAAAAAAvCAgAAAAAAYEFYAAAAAAAALPIUFri5ucnd3f2mt7Jly6pevXoaNWqUDh48WNB9AwAAAACAQlIqLw+aOnWqvv32W+3atUs9e/ZUnTp1JEn79+9XVFSUGjdurHvvvVcHDhzQggUL9Nlnn+mnn35S06ZNC7R5AAAAAABQ8PIUFtSoUUNnz57V3r17deedd1pqBw4cUJcuXdSwYUO99tpr2r9/v4KDg/WXv/xFK1asKJCmAQAAAABA4cnTaQivvfaawsPDswQFklSnTh2Fh4drxowZkqS6detq1KhRWr9+ff46BQAAAAAADpGnsODEiRMqVSrngxJKlSql48eP2+8HBQUpJSUlL08FAAAAAAAcLE9hwd1336158+YpISEhSy0+Pl7z5s3T3XffbR87dOiQ/Pz88t4lAAAAAABwmDytWfD3v//dvrBhv3797AscHjhwQN98843S0tL00UcfSZKSk5O1cOFC9ezZs+C6BgAAAAAAhSZPYUGXLl20fv16vfDCC/rHP/6ha9euSZJsNpu6deumadOmqUWLFvaxkydPFlzHAAAAAACgUOUpLJCk5s2b67vvvlNGRoZOnz4tSapWrZrc3PJ0ZgMAAAAAACgi8hwWZHJzc2M9AgAAAAAAXEiew4ILFy7os88+06FDh3ThwgWZpmmpG4ahDz/8MN8NAgAAAAAAx8pTWBAdHa2HHnpIV65ckbe3typWrJhljmEY+W4OAAAAAAA4Xp7CgmeeeUZ+fn76xz/+ocaNGxd0TwAAAAAAwInytBrhgQMHNG7cOIICAAAAAABcUJ7Cgrp16+rSpUsF3QsAAAAAACgC8hQWvPzyy3rnnXd05MiRAm4HAAAAAAA4W57WLIiJiVHVqlXVoEED3XfffQoICJC7u7tljmEYmjNnToE0CQAAAAAAHCdPYcHcuXPtP3/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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* It appears that the weekly, monthly, and yearly wages in the dataset were converted to annual equivalents, while the hourly wages were left as is. \n",
        "* We have decided not to change hourly to annual equivalent, as unit of measurement `unit_of_wage` maintains consistency these data in the dataset.\n",
        "* While it may make some comparisons between hourly and salaried employees less straightforward, this conversion method provides a useful way to compare wages across different payment frequencies."
      ],
      "metadata": {
        "id": "H7Pu6pIVk8at"
      },
      "id": "H7Pu6pIVk8at"
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Fixing the data types"
      ],
      "metadata": {
        "id": "oDpUpEJ4vAbX"
      },
      "id": "oDpUpEJ4vAbX"
    },
    {
      "cell_type": "code",
      "source": [
        "for i in cols_cat.columns:\n",
        "  df[i] = df[i].astype('category')"
      ],
      "metadata": {
        "id": "Q9qeBQCJvETy"
      },
      "id": "Q9qeBQCJvETy",
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Dropping column which is not adding any information"
      ],
      "metadata": {
        "id": "TyRmgPL-v2kc"
      },
      "id": "TyRmgPL-v2kc"
    },
    {
      "cell_type": "code",
      "source": [
        "#Dropping the `case_id` colum with all unique values\n",
        "df.drop(['case_id'], axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "hcGWm9npv4g7"
      },
      "id": "hcGWm9npv4g7",
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Converting the categorical target variable into a numerical binary variable"
      ],
      "metadata": {
        "id": "BoxHGjkmnZsf"
      },
      "id": "BoxHGjkmnZsf"
    },
    {
      "cell_type": "code",
      "source": [
        "df['case_status'] = df['case_status'].apply(lambda x : 1 if x=='Certified' else 0)"
      ],
      "metadata": {
        "id": "8SwSjhFInZzX"
      },
      "id": "8SwSjhFInZzX",
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Outlier detection and treatment (if needed)"
      ],
      "metadata": {
        "id": "kOqgzlU0uw_U"
      },
      "id": "kOqgzlU0uw_U"
    },
    {
      "cell_type": "code",
      "source": [
        "# outlier detection using boxplot\n",
        "numeric_columns = df.select_dtypes(include=[int, float]).columns.tolist()\n",
        "\n",
        "plt.figure(figsize=(12, 10))\n",
        "\n",
        "for i, variable in enumerate(numeric_columns):\n",
        "    plt.subplot(4, 4, i + 1)\n",
        "    plt.boxplot(df[variable], whis=1.5)\n",
        "    plt.tight_layout()\n",
        "    plt.title(variable)\n",
        "\n",
        "plt.show();"
      ],
      "metadata": {
        "id": "iK9Ls9DDuxIL",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 290
        },
        "outputId": "9b375014-0a0e-48dc-921f-3a9dd5ca1ec0"
      },
      "id": "iK9Ls9DDuxIL",
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1000 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Observations**\n",
        "\n",
        "* There are quite a few outliers in the data\n",
        "* They are proper values"
      ],
      "metadata": {
        "id": "NYBeTH8ipyGb"
      },
      "id": "NYBeTH8ipyGb"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Preparing data for modeling"
      ],
      "metadata": {
        "id": "dUt39htfuxd1"
      },
      "id": "dUt39htfuxd1"
    },
    {
      "cell_type": "code",
      "source": [
        "X = df.drop(['case_status'], axis=1)\n",
        "X = pd.get_dummies(X, drop_first=True)\n",
        "y = df['case_status']\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, stratify=y, random_state=42)"
      ],
      "metadata": {
        "id": "CmBHFaqHuxnd"
      },
      "id": "CmBHFaqHuxnd",
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Shape of Training set : \", X_train.shape)\n",
        "print(\"Shape of Testing set : \", X_test.shape)\n",
        "print(\"Percentage of classes in training set:\")\n",
        "print(y_train.value_counts(normalize=True))\n",
        "print(\"Percentage of classes in test set:\")\n",
        "print(y_test.value_counts(normalize=True))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8Wp8v65nqNCg",
        "outputId": "d61475cf-8320-4e10-c1a2-330f87f9ee67"
      },
      "id": "8Wp8v65nqNCg",
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape of Training set :  (17812, 21)\n",
            "Shape of Testing set :  (7635, 21)\n",
            "Percentage of classes in training set:\n",
            "1    0.668089\n",
            "0    0.331911\n",
            "Name: case_status, dtype: float64\n",
            "Percentage of classes in test set:\n",
            "1    0.668107\n",
            "0    0.331893\n",
            "Name: case_status, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Any other preprocessing steps (if needed)"
      ],
      "metadata": {
        "id": "eE44nbGKuxvN"
      },
      "id": "eE44nbGKuxvN"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* No any other preprocessing steps are needed"
      ],
      "metadata": {
        "id": "NntK-5TnqRqr"
      },
      "id": "NntK-5TnqRqr"
    },
    {
      "cell_type": "markdown",
      "id": "difficult-union",
      "metadata": {
        "id": "difficult-union"
      },
      "source": [
        "## EDA\n",
        "\n",
        "- It is a good idea to explore the data once again after manipulating it."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "id": "interested-talent",
      "metadata": {
        "id": "interested-talent",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "outputId": "9bea552d-f31d-4451-e279-ad18fbfc80fb"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1200 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Numerical variables\n",
        "cols = X.select_dtypes(include=[int, float]).columns.tolist()[1:]\n",
        "plt.figure(figsize=(12, 12))\n",
        "\n",
        "for i, var in enumerate(cols):\n",
        "  plt.subplot(4, 3, i + 1)\n",
        "  sns.boxplot(data=X, x=var)\n",
        "  plt.tight_layout(pad=2)\n",
        "\n",
        "plt.tight_layout(pad=2);\n",
        "plt.show();"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Bivariate analysis**"
      ],
      "metadata": {
        "id": "i-Hxjfdiqa67"
      },
      "id": "i-Hxjfdiqa67"
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Correlation heatmap**"
      ],
      "metadata": {
        "id": "eEL1U2UVqdS8"
      },
      "id": "eEL1U2UVqdS8"
    },
    {
      "cell_type": "code",
      "source": [
        "numeric = list(X.select_dtypes(include=[int, float]).columns[1:])\n",
        "\n",
        "plt.figure(figsize=(12, 7))\n",
        "sns.heatmap(pd.concat([X[numeric], y], axis=1).corr(), annot=True, vmin=-1, vmax=1, fmt=\".2f\", cmap=\"Spectral\")\n",
        "plt.xlabel('')\n",
        "plt.ylabel('')\n",
        "plt.title('Correlation heatmap representing the correlation\\nbetween different variables of dataset', fontsize=16)\n",
        "plt.show();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 647
        },
        "id": "Tnx0Bp52qYXd",
        "outputId": "bfb3c797-75b7-41e4-da88-e7f03ad07266"
      },
      "id": "Tnx0Bp52qYXd",
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x700 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Pairplot**"
      ],
      "metadata": {
        "id": "fdswbkEoqmnH"
      },
      "id": "fdswbkEoqmnH"
    },
    {
      "cell_type": "code",
      "source": [
        "sns.pairplot(pd.concat([X[['yr_of_estab', 'prevailing_wage', 'no_of_employees']], y], axis=1), hue='case_status');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 758
        },
        "id": "T1CXedxLqkc_",
        "outputId": "044c122f-9af4-4c45-fa8a-fedc3fb4ae0e"
      },
      "id": "T1CXedxLqkc_",
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 842.611x750 with 12 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **After manipulating, the data look consistent**"
      ],
      "metadata": {
        "id": "SVhxvVorq5f1"
      },
      "id": "SVhxvVorq5f1"
    },
    {
      "cell_type": "markdown",
      "id": "domestic-iceland",
      "metadata": {
        "id": "domestic-iceland"
      },
      "source": [
        "## Building bagging and boosting models"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Bagging models**"
      ],
      "metadata": {
        "id": "4lWGCqje9__M"
      },
      "id": "4lWGCqje9__M"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Model evaluation criterion\n",
        "\n",
        "### The model evaluation criterion will be based on the following potential incorrect predictions:\n",
        "\n",
        "False positive - predicting a case will be certified when it is actually denied.\n",
        "False negative - predicting a case will be denied when it is actually certified.\n",
        "\n",
        "We will use these criteria to evaluate the performance of the model.\n",
        "\n",
        "### Which case is more important? \n",
        "* **[FP]** If a visa is mistakenly certified, it could result in an unqualified individual being hired for a position that should have been filled by a qualified US citizen. This could lead to US citizens missing out on job opportunities that they are qualified for.\n",
        "\n",
        "* **[FN]** If a visa is mistakenly denied, a qualified candidate may be lost to the US economy, which could result in the loss of valuable skills, knowledge, and experience that could have contributed to economic growth and development.\n",
        "\n",
        "### How to reduce this loss i.e need to reduce False Negatives?\n",
        "* We aim to create a recommendation system for determining whether visa applicants should be certified or denied based on factors that significantly impact case status. To achieve this, it is essential to consider both precision and recall in the evaluation process.\n",
        "* We will use the F1 Score as our evaluation metric since it takes into account both precision and recall. A higher F1 Score indicates a lower likelihood of encountering False Negatives and False Positives, leading to a more accurate model.\n",
        "* Given that the target has imbalanced classes, with roughly one-third of cases being denied and two-thirds being certified, we recommend using balanced class weights to address this imbalance. This approach helps to prevent the model from favoring the majority class and enhances its performance on the minority class. By employing balanced class weights, the model can assign equal importance to both classes during training, which may result in better overall accuracy."
      ],
      "metadata": {
        "id": "jMiFdio5uY27"
      },
      "id": "jMiFdio5uY27"
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Decision Tree Model"
      ],
      "metadata": {
        "id": "D7BgQjsntrN6"
      },
      "id": "D7BgQjsntrN6"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* We will build our model using the DecisionTreeClassifier function. Using default 'gini' criteria to split. \n",
        "* If the frequency of class A is 33% and the frequency of class B is 67%, then class B will become the dominant class and the decision tree will become biased toward the dominant classes.\n",
        "* In this case, we can pass a dictionary {0: 0.67, 1: 0.33} to the model to specify the weight of each class and the decision tree will give more weightage to class 0.\n",
        "* class_weight is a hyperparameter for the decision tree classifier."
      ],
      "metadata": {
        "id": "B8N5R4bZ0HZd"
      },
      "id": "B8N5R4bZ0HZd"
    },
    {
      "cell_type": "code",
      "source": [
        "classes = pd.Series(y_train).unique()\n",
        "class_weight = {}\n",
        "class_weight_list = compute_class_weight(class_weight = 'balanced', classes = classes, y = y_train)\n",
        "\n",
        "for i, v in enumerate(class_weight_list):\n",
        "  class_weight[classes[i]] = round(v / class_weight_list.sum(), 2)\n",
        "\n",
        "print(class_weight)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zbHdoflV2tf8",
        "outputId": "83cddaa3-e7c5-4646-a95e-d0aeed86bb0c"
      },
      "id": "zbHdoflV2tf8",
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{1: 0.33, 0: 0.67}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dtree = DecisionTreeClassifier(criterion='gini', class_weight=class_weight, random_state=42)\n",
        "dtree.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "jHzXrWrPtqHA",
        "outputId": "9b80d129-6c9b-43eb-b33a-612b76833248"
      },
      "id": "jHzXrWrPtqHA",
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(class_weight={0: 0.67, 1: 0.33}, random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(class_weight={0: 0.67, 1: 0.33}, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(class_weight={0: 0.67, 1: 0.33}, random_state=42)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dtree_perf = model_performance(dtree, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "id": "9afve5AF2fSy",
        "outputId": "6f673888-10a1-4dc6-c335-8d25aee9042a"
      },
      "id": "9afve5AF2fSy",
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68a16c6d0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_cc82d th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_cc82d\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_cc82d_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_cc82d_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_cc82d_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_cc82d_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_cc82d_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_cc82d_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_cc82d_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_cc82d_row0_col0\" class=\"data row0 col0\" >100.00%</td>\n",
              "      <td id=\"T_cc82d_row0_col1\" class=\"data row0 col1\" >100.00%</td>\n",
              "      <td id=\"T_cc82d_row0_col2\" class=\"data row0 col2\" >100.00%</td>\n",
              "      <td id=\"T_cc82d_row0_col3\" class=\"data row0 col3\" >100.00%</td>\n",
              "      <td id=\"T_cc82d_row0_col4\" class=\"data row0 col4\" >100.00%</td>\n",
              "      <td id=\"T_cc82d_row0_col5\" class=\"data row0 col5\" >100.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_cc82d_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_cc82d_row1_col0\" class=\"data row1 col0\" >66.02%</td>\n",
              "      <td id=\"T_cc82d_row1_col1\" class=\"data row1 col1\" >74.19%</td>\n",
              "      <td id=\"T_cc82d_row1_col2\" class=\"data row1 col2\" >75.36%</td>\n",
              "      <td id=\"T_cc82d_row1_col3\" class=\"data row1 col3\" >48.78%</td>\n",
              "      <td id=\"T_cc82d_row1_col4\" class=\"data row1 col4\" >47.24%</td>\n",
              "      <td id=\"T_cc82d_row1_col5\" class=\"data row1 col5\" >74.77%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Confusion Matrix:**\n",
        "\n",
        "* A **True Positive** occurs when a certified visa case (observed=1) is correctly predicted as certified (predicted=1) by the model.\n",
        "\n",
        "* A **False Positive** occurs when the model incorrectly predicts a visa case as certified (predicted=1) when it is actually denied (observed=0).\n",
        "\n",
        "* A **True Negative** occurs when the model correctly predicts a visa case as denied (predicted=0) when it is actually denied (observed=0).\n",
        "\n",
        "* A **False Negative** occurs when the model incorrectly predicts a visa case as denied (predicted=0) when it is actually certified (observed=1)."
      ],
      "metadata": {
        "id": "RxwPXlQ13lER"
      },
      "id": "RxwPXlQ13lER"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **Decision tree** is working well on the training data but is not able to generalize well on the test data concerning the F1 score."
      ],
      "metadata": {
        "id": "ahtyGGkF42My"
      },
      "id": "ahtyGGkF42My"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Bagging Classifier"
      ],
      "metadata": {
        "id": "yUHWkuyQ5PJZ"
      },
      "id": "yUHWkuyQ5PJZ"
    },
    {
      "cell_type": "code",
      "source": [
        "bagging = BaggingClassifier(random_state=42)\n",
        "bagging.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "WD60livP5Ur1",
        "outputId": "1072588b-bbef-4b0f-80e0-b638e7bac506"
      },
      "id": "WD60livP5Ur1",
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "BaggingClassifier(random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>BaggingClassifier(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">BaggingClassifier</label><div class=\"sk-toggleable__content\"><pre>BaggingClassifier(random_state=42)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "bagging_perf = model_performance(bagging, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "id": "XEzy_bzG5jAj",
        "outputId": "6752d680-dcb0-4e01-cb15-8e1e48f0dfdc"
      },
      "id": "XEzy_bzG5jAj",
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd689adbfa0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_fb3fa th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_fb3fa\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_fb3fa_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_fb3fa_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_fb3fa_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_fb3fa_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_fb3fa_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_fb3fa_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_fb3fa_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_fb3fa_row0_col0\" class=\"data row0 col0\" >98.41%</td>\n",
              "      <td id=\"T_fb3fa_row0_col1\" class=\"data row0 col1\" >99.10%</td>\n",
              "      <td id=\"T_fb3fa_row0_col2\" class=\"data row0 col2\" >98.51%</td>\n",
              "      <td id=\"T_fb3fa_row0_col3\" class=\"data row0 col3\" >97.04%</td>\n",
              "      <td id=\"T_fb3fa_row0_col4\" class=\"data row0 col4\" >98.21%</td>\n",
              "      <td id=\"T_fb3fa_row0_col5\" class=\"data row0 col5\" >98.81%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_fb3fa_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_fb3fa_row1_col0\" class=\"data row1 col0\" >69.88%</td>\n",
              "      <td id=\"T_fb3fa_row1_col1\" class=\"data row1 col1\" >77.44%</td>\n",
              "      <td id=\"T_fb3fa_row1_col2\" class=\"data row1 col2\" >77.48%</td>\n",
              "      <td id=\"T_fb3fa_row1_col3\" class=\"data row1 col3\" >54.62%</td>\n",
              "      <td id=\"T_fb3fa_row1_col4\" class=\"data row1 col4\" >54.58%</td>\n",
              "      <td id=\"T_fb3fa_row1_col5\" class=\"data row1 col5\" >77.46%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* A **Bagging Classifier** is overfitting on the training set when it achieves high performance on the training data but performs poorly on the test data. This indicates that the model has learned the training data too well, capturing noise and peculiarities that do not generalize to unseen data. \n",
        "* Although the Bagging Classifier outperforms the Decision Tree, its subpar performance on the test set in terms of F1 score suggests that it may not be the best model for the task.."
      ],
      "metadata": {
        "id": "gY4tcZtu5jId"
      },
      "id": "gY4tcZtu5jId"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Bagging Classifier with weighted decision tree"
      ],
      "metadata": {
        "id": "o-7cN1oa6XoG"
      },
      "id": "o-7cN1oa6XoG"
    },
    {
      "cell_type": "code",
      "source": [
        "bagging_wt = BaggingClassifier(base_estimator=DecisionTreeClassifier(class_weight=class_weight,\n",
        "                                                                     random_state=42),\n",
        "                               random_state=42)\n",
        "bagging_wt.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 118
        },
        "id": "wZDLkKsw6Ye9",
        "outputId": "0f6b385a-b311-4ec9-c003-c5c56089ff7c"
      },
      "id": "wZDLkKsw6Ye9",
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "BaggingClassifier(base_estimator=DecisionTreeClassifier(class_weight={0: 0.67,\n",
              "                                                                      1: 0.33},\n",
              "                                                        random_state=42),\n",
              "                  random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>BaggingClassifier(base_estimator=DecisionTreeClassifier(class_weight={0: 0.67,\n",
              "                                                                      1: 0.33},\n",
              "                                                        random_state=42),\n",
              "                  random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">BaggingClassifier</label><div class=\"sk-toggleable__content\"><pre>BaggingClassifier(base_estimator=DecisionTreeClassifier(class_weight={0: 0.67,\n",
              "                                                                      1: 0.33},\n",
              "                                                        random_state=42),\n",
              "                  random_state=42)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">base_estimator: DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(class_weight={0: 0.67, 1: 0.33}, random_state=42)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(class_weight={0: 0.67, 1: 0.33}, random_state=42)</pre></div></div></div></div></div></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "bagging_wt_perf = model_performance(bagging_wt, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "id": "huJ4aro16ZNX",
        "outputId": "cd3567dd-0a50-4e1c-88a5-3466a4c59848"
      },
      "id": "huJ4aro16ZNX",
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68995f610>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_d2de8 th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_d2de8\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_d2de8_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_d2de8_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_d2de8_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_d2de8_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_d2de8_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_d2de8_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_d2de8_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_d2de8_row0_col0\" class=\"data row0 col0\" >98.40%</td>\n",
              "      <td id=\"T_d2de8_row0_col1\" class=\"data row0 col1\" >98.94%</td>\n",
              "      <td id=\"T_d2de8_row0_col2\" class=\"data row0 col2\" >98.66%</td>\n",
              "      <td id=\"T_d2de8_row0_col3\" class=\"data row0 col3\" >97.33%</td>\n",
              "      <td id=\"T_d2de8_row0_col4\" class=\"data row0 col4\" >97.87%</td>\n",
              "      <td id=\"T_d2de8_row0_col5\" class=\"data row0 col5\" >98.80%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d2de8_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_d2de8_row1_col0\" class=\"data row1 col0\" >70.16%</td>\n",
              "      <td id=\"T_d2de8_row1_col1\" class=\"data row1 col1\" >76.75%</td>\n",
              "      <td id=\"T_d2de8_row1_col2\" class=\"data row1 col2\" >79.40%</td>\n",
              "      <td id=\"T_d2de8_row1_col3\" class=\"data row1 col3\" >55.43%</td>\n",
              "      <td id=\"T_d2de8_row1_col4\" class=\"data row1 col4\" >51.58%</td>\n",
              "      <td id=\"T_d2de8_row1_col5\" class=\"data row1 col5\" >78.05%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* A **Bagging classifier with a weighted decision tree** is achieving high accuracy and prediction performance. However, it struggles to generalize well on the test data in terms of F1 score.\n",
        "* Despite this issue, the model's recall, precision, and F1 scores on the test data are better than those of the Boosting model without a weighted decision tree."
      ],
      "metadata": {
        "id": "eRZYPAmE6Zao"
      },
      "id": "eRZYPAmE6Zao"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Random Forest"
      ],
      "metadata": {
        "id": "-azkfR2s84LU"
      },
      "id": "-azkfR2s84LU"
    },
    {
      "cell_type": "code",
      "source": [
        "rf = RandomForestClassifier(random_state=42)\n",
        "rf.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "VGrrRMn984Uz",
        "outputId": "87969e98-b036-48c3-c7a6-449afbb35dff"
      },
      "id": "VGrrRMn984Uz",
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-4 {color: black;background-color: white;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" checked><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(random_state=42)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "rf_perf = model_performance(rf, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "id": "9TlZBQ8i8-Oi",
        "outputId": "cc968f80-ffe0-45cf-d0da-619f6f3fec4c"
      },
      "id": "9TlZBQ8i8-Oi",
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68a1b8550>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_69e18 th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_69e18\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_69e18_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_69e18_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_69e18_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_69e18_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_69e18_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_69e18_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_69e18_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_69e18_row0_col0\" class=\"data row0 col0\" >100.00%</td>\n",
              "      <td id=\"T_69e18_row0_col1\" class=\"data row0 col1\" >100.00%</td>\n",
              "      <td id=\"T_69e18_row0_col2\" class=\"data row0 col2\" >100.00%</td>\n",
              "      <td id=\"T_69e18_row0_col3\" class=\"data row0 col3\" >100.00%</td>\n",
              "      <td id=\"T_69e18_row0_col4\" class=\"data row0 col4\" >100.00%</td>\n",
              "      <td id=\"T_69e18_row0_col5\" class=\"data row0 col5\" >100.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_69e18_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_69e18_row1_col0\" class=\"data row1 col0\" >72.38%</td>\n",
              "      <td id=\"T_69e18_row1_col1\" class=\"data row1 col1\" >77.11%</td>\n",
              "      <td id=\"T_69e18_row1_col2\" class=\"data row1 col2\" >83.42%</td>\n",
              "      <td id=\"T_69e18_row1_col3\" class=\"data row1 col3\" >60.04%</td>\n",
              "      <td id=\"T_69e18_row1_col4\" class=\"data row1 col4\" >50.16%</td>\n",
              "      <td id=\"T_69e18_row1_col5\" class=\"data row1 col5\" >80.14%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **Random Forest** has performed well in terms of accuracy, precision, recall and F1 score, but it is not able to generalize well on the test data in terms of F1 score."
      ],
      "metadata": {
        "id": "9ym4yUN884dq"
      },
      "id": "9ym4yUN884dq"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Random forest with class weights"
      ],
      "metadata": {
        "id": "hc0-XsUp9U28"
      },
      "id": "hc0-XsUp9U28"
    },
    {
      "cell_type": "code",
      "source": [
        "rf_wt = RandomForestClassifier(class_weight=class_weight,\n",
        "                               random_state=42)\n",
        "rf_wt.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "pglQupOu9XVO",
        "outputId": "2a3db5f7-39d1-458c-c96f-df98bb5fc567"
      },
      "id": "pglQupOu9XVO",
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(class_weight={0: 0.67, 1: 0.33}, random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-5 {color: black;background-color: white;}#sk-container-id-5 pre{padding: 0;}#sk-container-id-5 div.sk-toggleable {background-color: white;}#sk-container-id-5 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-5 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-5 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-5 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-5 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-5 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-5 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-5 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-5 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-5 div.sk-item {position: relative;z-index: 1;}#sk-container-id-5 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-5 div.sk-item::before, #sk-container-id-5 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-5 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-5 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-5 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-5 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-5 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-5 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-5 div.sk-label-container {text-align: center;}#sk-container-id-5 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-5 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(class_weight={0: 0.67, 1: 0.33}, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" checked><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(class_weight={0: 0.67, 1: 0.33}, random_state=42)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "rf_wt_perf = model_performance(rf_wt, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "id": "1KmBFn9e9XeO",
        "outputId": "76d25012-5922-4e45-d239-dcc0c46765fc"
      },
      "id": "1KmBFn9e9XeO",
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68a8687c0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_98f0f th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_98f0f\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_98f0f_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_98f0f_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_98f0f_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_98f0f_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_98f0f_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_98f0f_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_98f0f_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_98f0f_row0_col0\" class=\"data row0 col0\" >100.00%</td>\n",
              "      <td id=\"T_98f0f_row0_col1\" class=\"data row0 col1\" >100.00%</td>\n",
              "      <td id=\"T_98f0f_row0_col2\" class=\"data row0 col2\" >100.00%</td>\n",
              "      <td id=\"T_98f0f_row0_col3\" class=\"data row0 col3\" >100.00%</td>\n",
              "      <td id=\"T_98f0f_row0_col4\" class=\"data row0 col4\" >100.00%</td>\n",
              "      <td id=\"T_98f0f_row0_col5\" class=\"data row0 col5\" >100.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_98f0f_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_98f0f_row1_col0\" class=\"data row1 col0\" >72.76%</td>\n",
              "      <td id=\"T_98f0f_row1_col1\" class=\"data row1 col1\" >77.02%</td>\n",
              "      <td id=\"T_98f0f_row1_col2\" class=\"data row1 col2\" >84.41%</td>\n",
              "      <td id=\"T_98f0f_row1_col3\" class=\"data row1 col3\" >61.11%</td>\n",
              "      <td id=\"T_98f0f_row1_col4\" class=\"data row1 col4\" >49.29%</td>\n",
              "      <td id=\"T_98f0f_row1_col5\" class=\"data row1 col5\" >80.55%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* There is not much improvement in metrics of **Weighted Random Forest** as compared to the unweighted random forest."
      ],
      "metadata": {
        "id": "uHUf_dmy9Xnn"
      },
      "id": "uHUf_dmy9Xnn"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Boosting models**"
      ],
      "metadata": {
        "id": "Jw2UT3Ox-Ho-"
      },
      "id": "Jw2UT3Ox-Ho-"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### AdaBoost Classifier"
      ],
      "metadata": {
        "id": "ONtPzMOO-QPJ"
      },
      "id": "ONtPzMOO-QPJ"
    },
    {
      "cell_type": "code",
      "source": [
        "abc = AdaBoostClassifier(random_state=42)\n",
        "abc.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "outputId": "c28b6c0c-860c-425b-fae0-3fdab707382f",
        "id": "q1G5w-BI-QPK"
      },
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "AdaBoostClassifier(random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-6 {color: black;background-color: white;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 div.sk-toggleable {background-color: white;}#sk-container-id-6 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-6 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-6 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-6 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-6 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-6 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-6 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-6 div.sk-item {position: relative;z-index: 1;}#sk-container-id-6 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 div.sk-item::before, #sk-container-id-6 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-6 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-6 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-6 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 div.sk-label-container {text-align: center;}#sk-container-id-6 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-6 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-6\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>AdaBoostClassifier(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" checked><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">AdaBoostClassifier</label><div class=\"sk-toggleable__content\"><pre>AdaBoostClassifier(random_state=42)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ],
      "id": "q1G5w-BI-QPK"
    },
    {
      "cell_type": "code",
      "source": [
        "abc_perf = model_performance(abc, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "outputId": "6401c4e5-c3e5-470e-a7f1-9eb2014f258c",
        "id": "j3q221ZN-QPK"
      },
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68c303970>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_06d94 th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_06d94\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_06d94_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_06d94_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_06d94_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_06d94_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_06d94_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_06d94_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_06d94_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_06d94_row0_col0\" class=\"data row0 col0\" >73.55%</td>\n",
              "      <td id=\"T_06d94_row0_col1\" class=\"data row0 col1\" >75.84%</td>\n",
              "      <td id=\"T_06d94_row0_col2\" class=\"data row0 col2\" >88.66%</td>\n",
              "      <td id=\"T_06d94_row0_col3\" class=\"data row0 col3\" >65.40%</td>\n",
              "      <td id=\"T_06d94_row0_col4\" class=\"data row0 col4\" >43.13%</td>\n",
              "      <td id=\"T_06d94_row0_col5\" class=\"data row0 col5\" >81.75%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_06d94_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_06d94_row1_col0\" class=\"data row1 col0\" >74.07%</td>\n",
              "      <td id=\"T_06d94_row1_col1\" class=\"data row1 col1\" >76.24%</td>\n",
              "      <td id=\"T_06d94_row1_col2\" class=\"data row1 col2\" >88.88%</td>\n",
              "      <td id=\"T_06d94_row1_col3\" class=\"data row1 col3\" >66.41%</td>\n",
              "      <td id=\"T_06d94_row1_col4\" class=\"data row1 col4\" >44.24%</td>\n",
              "      <td id=\"T_06d94_row1_col5\" class=\"data row1 col5\" >82.08%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ],
      "id": "j3q221ZN-QPK"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **AdaBoostClassifier** is generalizing well but and giving good performance, in terms of F1 score as well as Precision and Recall, as compared to the Decision tree, Bagging, and Random forest models.  "
      ],
      "metadata": {
        "id": "NxSmGG7M-QPK"
      },
      "id": "NxSmGG7M-QPK"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Gradient Boosting Classifier"
      ],
      "metadata": {
        "id": "ktRysMnW_fLr"
      },
      "id": "ktRysMnW_fLr"
    },
    {
      "cell_type": "code",
      "source": [
        "gbc = GradientBoostingClassifier(random_state=42)\n",
        "gbc.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "outputId": "a12dbba6-89f3-410e-91ea-3bc91fee4b4d",
        "id": "HioQu-0o_fLs"
      },
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "GradientBoostingClassifier(random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-7 {color: black;background-color: white;}#sk-container-id-7 pre{padding: 0;}#sk-container-id-7 div.sk-toggleable {background-color: white;}#sk-container-id-7 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-7 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-7 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-7 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-7 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-7 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-7 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-7 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-7 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-7 div.sk-item {position: relative;z-index: 1;}#sk-container-id-7 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-7 div.sk-item::before, #sk-container-id-7 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-7 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-7 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-7 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-7 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-7 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-7 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-7 div.sk-label-container {text-align: center;}#sk-container-id-7 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-7 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-7\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GradientBoostingClassifier(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" checked><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GradientBoostingClassifier</label><div class=\"sk-toggleable__content\"><pre>GradientBoostingClassifier(random_state=42)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 64
        }
      ],
      "id": "HioQu-0o_fLs"
    },
    {
      "cell_type": "code",
      "source": [
        "gbc_perf = model_performance(gbc, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "outputId": "ed5c101c-ff9e-4731-a6fa-5febab953ec4",
        "id": "mZfk-AlT_fLs"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68a487b50>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_eff09 th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_eff09\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_eff09_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_eff09_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_eff09_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_eff09_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_eff09_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_eff09_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_eff09_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_eff09_row0_col0\" class=\"data row0 col0\" >75.35%</td>\n",
              "      <td id=\"T_eff09_row0_col1\" class=\"data row0 col1\" >78.10%</td>\n",
              "      <td id=\"T_eff09_row0_col2\" class=\"data row0 col2\" >87.70%</td>\n",
              "      <td id=\"T_eff09_row0_col3\" class=\"data row0 col3\" >67.09%</td>\n",
              "      <td id=\"T_eff09_row0_col4\" class=\"data row0 col4\" >50.49%</td>\n",
              "      <td id=\"T_eff09_row0_col5\" class=\"data row0 col5\" >82.62%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_eff09_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_eff09_row1_col0\" class=\"data row1 col0\" >75.27%</td>\n",
              "      <td id=\"T_eff09_row1_col1\" class=\"data row1 col1\" >78.18%</td>\n",
              "      <td id=\"T_eff09_row1_col2\" class=\"data row1 col2\" >87.38%</td>\n",
              "      <td id=\"T_eff09_row1_col3\" class=\"data row1 col3\" >66.70%</td>\n",
              "      <td id=\"T_eff09_row1_col4\" class=\"data row1 col4\" >50.91%</td>\n",
              "      <td id=\"T_eff09_row1_col5\" class=\"data row1 col5\" >82.52%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ],
      "id": "mZfk-AlT_fLs"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **GradientBoostingClassifier** is generalizing well and giving decent results but not as good as AdaBoostClassifier."
      ],
      "metadata": {
        "id": "JgMUExq7_fLs"
      },
      "id": "JgMUExq7_fLs"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### XGBoost Classifier"
      ],
      "metadata": {
        "id": "H20ZWmfzAE27"
      },
      "id": "H20ZWmfzAE27"
    },
    {
      "cell_type": "code",
      "source": [
        "xgb = XGBClassifier(random_state=42)\n",
        "xgb.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 248
        },
        "outputId": "035528e9-b1a9-49c0-9729-28d13a377676",
        "id": "5xX-xB-aAE28"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
              "              colsample_bylevel=None, colsample_bynode=None,\n",
              "              colsample_bytree=None, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric=None, feature_types=None,\n",
              "              gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n",
              "              interaction_constraints=None, learning_rate=None, max_bin=None,\n",
              "              max_cat_threshold=None, max_cat_to_onehot=None,\n",
              "              max_delta_step=None, max_depth=None, max_leaves=None,\n",
              "              min_child_weight=None, missing=nan, monotone_constraints=None,\n",
              "              n_estimators=100, n_jobs=None, num_parallel_tree=None,\n",
              "              predictor=None, random_state=42, ...)"
            ],
            "text/html": [
              "<style>#sk-container-id-8 {color: black;background-color: white;}#sk-container-id-8 pre{padding: 0;}#sk-container-id-8 div.sk-toggleable {background-color: white;}#sk-container-id-8 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-8 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-8 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-8 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-8 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-8 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-8 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-8 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-8 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-8 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-8 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-8 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-8 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-8 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-8 div.sk-item {position: relative;z-index: 1;}#sk-container-id-8 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-8 div.sk-item::before, #sk-container-id-8 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-8 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-8 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-8 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-8 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-8 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-8 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-8 div.sk-label-container {text-align: center;}#sk-container-id-8 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-8 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-8\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
              "              colsample_bylevel=None, colsample_bynode=None,\n",
              "              colsample_bytree=None, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric=None, feature_types=None,\n",
              "              gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n",
              "              interaction_constraints=None, learning_rate=None, max_bin=None,\n",
              "              max_cat_threshold=None, max_cat_to_onehot=None,\n",
              "              max_delta_step=None, max_depth=None, max_leaves=None,\n",
              "              min_child_weight=None, missing=nan, monotone_constraints=None,\n",
              "              n_estimators=100, n_jobs=None, num_parallel_tree=None,\n",
              "              predictor=None, random_state=42, ...)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" checked><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBClassifier</label><div class=\"sk-toggleable__content\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
              "              colsample_bylevel=None, colsample_bynode=None,\n",
              "              colsample_bytree=None, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric=None, feature_types=None,\n",
              "              gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n",
              "              interaction_constraints=None, learning_rate=None, max_bin=None,\n",
              "              max_cat_threshold=None, max_cat_to_onehot=None,\n",
              "              max_delta_step=None, max_depth=None, max_leaves=None,\n",
              "              min_child_weight=None, missing=nan, monotone_constraints=None,\n",
              "              n_estimators=100, n_jobs=None, num_parallel_tree=None,\n",
              "              predictor=None, random_state=42, ...)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 66
        }
      ],
      "id": "5xX-xB-aAE28"
    },
    {
      "cell_type": "code",
      "source": [
        "xgb_perf = model_performance(xgb, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "outputId": "f5bd4cc7-4471-4847-9f47-3f3d002cc7c3",
        "id": "Q9XTME_-AE28"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68c38b9d0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_39d5a th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_39d5a\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_39d5a_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_39d5a_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_39d5a_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_39d5a_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_39d5a_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_39d5a_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_39d5a_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_39d5a_row0_col0\" class=\"data row0 col0\" >82.75%</td>\n",
              "      <td id=\"T_39d5a_row0_col1\" class=\"data row0 col1\" >83.44%</td>\n",
              "      <td id=\"T_39d5a_row0_col2\" class=\"data row0 col2\" >92.55%</td>\n",
              "      <td id=\"T_39d5a_row0_col3\" class=\"data row0 col3\" >80.77%</td>\n",
              "      <td id=\"T_39d5a_row0_col4\" class=\"data row0 col4\" >63.02%</td>\n",
              "      <td id=\"T_39d5a_row0_col5\" class=\"data row0 col5\" >87.76%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_39d5a_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_39d5a_row1_col0\" class=\"data row1 col0\" >73.78%</td>\n",
              "      <td id=\"T_39d5a_row1_col1\" class=\"data row1 col1\" >77.33%</td>\n",
              "      <td id=\"T_39d5a_row1_col2\" class=\"data row1 col2\" >85.94%</td>\n",
              "      <td id=\"T_39d5a_row1_col3\" class=\"data row1 col3\" >63.53%</td>\n",
              "      <td id=\"T_39d5a_row1_col4\" class=\"data row1 col4\" >49.29%</td>\n",
              "      <td id=\"T_39d5a_row1_col5\" class=\"data row1 col5\" >81.41%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ],
      "id": "Q9XTME_-AE28"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **XGBoost Classifier** with default parameters is giving almost as good results as the GBM and AdaBoost models."
      ],
      "metadata": {
        "id": "5xXuRTO8AE28"
      },
      "id": "5xXuRTO8AE28"
    },
    {
      "cell_type": "markdown",
      "id": "prime-athletics",
      "metadata": {
        "id": "prime-athletics"
      },
      "source": [
        "##  Will tuning the hyperparameters improve the model performance?"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Optimizing **Bagging Models** through Hyperparameter Tuning"
      ],
      "metadata": {
        "id": "81jLADbNBNi_"
      },
      "id": "81jLADbNBNi_"
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Hyperparameter Tuning - Decision Tree"
      ],
      "metadata": {
        "id": "B9t7ZMHgBNi_"
      },
      "id": "B9t7ZMHgBNi_"
    },
    {
      "cell_type": "code",
      "source": [
        "# Choose the type of classifier.\n",
        "dtree_tuned = DecisionTreeClassifier(class_weight=class_weight, random_state=42)\n",
        "\n",
        "# Grid of parameters to choose from\n",
        "parameters = {\n",
        "    'max_depth': [None] + list(np.arange(9, 20, 9)), \n",
        "    'min_samples_split': [3, 5, 7],\n",
        "    'min_samples_leaf': [2, 3, 4],\n",
        "    'max_features': [None, 'sqrt', 'log2'],\n",
        "    'max_leaf_nodes': [None] + list(np.arange(7, 50, 14))\n",
        "    }\n",
        "\n",
        "# Run the grid search\n",
        "grid_obj = GridSearchCV(dtree_tuned, parameters, cv=5, scoring='f1', n_jobs=-1) \n",
        "\n",
        "grid_obj = grid_obj.fit(X_train, y_train) \n",
        "\n",
        "# Set the clf to the best combination of parameters\n",
        "dtree_tuned = grid_obj.best_estimator_\n",
        "\n",
        "# Fit the best algorithm to the data.\n",
        "dtree_tuned.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 110
        },
        "outputId": "4fd2fba6-b2b5-4d61-894b-a20c6680842f",
        "id": "E1pv5BdvBNjA"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(class_weight={0: 0.67, 1: 0.33}, max_leaf_nodes=21,\n",
              "                       min_samples_leaf=2, min_samples_split=3,\n",
              "                       random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-9 {color: black;background-color: white;}#sk-container-id-9 pre{padding: 0;}#sk-container-id-9 div.sk-toggleable {background-color: white;}#sk-container-id-9 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-9 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-9 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-9 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-9 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-9 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-9 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-9 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-9 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-9 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-9 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-9 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-9 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-9 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-9 div.sk-item {position: relative;z-index: 1;}#sk-container-id-9 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-9 div.sk-item::before, #sk-container-id-9 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-9 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-9 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-9 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-9 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-9 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-9 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-9 div.sk-label-container {text-align: center;}#sk-container-id-9 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-9 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-9\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(class_weight={0: 0.67, 1: 0.33}, max_leaf_nodes=21,\n",
              "                       min_samples_leaf=2, min_samples_split=3,\n",
              "                       random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-11\" type=\"checkbox\" checked><label for=\"sk-estimator-id-11\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(class_weight={0: 0.67, 1: 0.33}, max_leaf_nodes=21,\n",
              "                       min_samples_leaf=2, min_samples_split=3,\n",
              "                       random_state=42)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ],
      "id": "E1pv5BdvBNjA"
    },
    {
      "cell_type": "code",
      "source": [
        "dtree_tuned_perf = model_performance(dtree_tuned, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "outputId": "ecc901e9-060e-4aab-e1ef-84624f25c1e2",
        "id": "TvQe3j_kBNjA"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd6905cfee0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_56505 th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_56505\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_56505_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_56505_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_56505_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_56505_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_56505_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_56505_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_56505_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_56505_row0_col0\" class=\"data row0 col0\" >73.62%</td>\n",
              "      <td id=\"T_56505_row0_col1\" class=\"data row0 col1\" >79.89%</td>\n",
              "      <td id=\"T_56505_row0_col2\" class=\"data row0 col2\" >80.88%</td>\n",
              "      <td id=\"T_56505_row0_col3\" class=\"data row0 col3\" >60.53%</td>\n",
              "      <td id=\"T_56505_row0_col4\" class=\"data row0 col4\" >59.02%</td>\n",
              "      <td id=\"T_56505_row0_col5\" class=\"data row0 col5\" >80.38%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_56505_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_56505_row1_col0\" class=\"data row1 col0\" >74.34%</td>\n",
              "      <td id=\"T_56505_row1_col1\" class=\"data row1 col1\" >80.60%</td>\n",
              "      <td id=\"T_56505_row1_col2\" class=\"data row1 col2\" >81.12%</td>\n",
              "      <td id=\"T_56505_row1_col3\" class=\"data row1 col3\" >61.50%</td>\n",
              "      <td id=\"T_56505_row1_col4\" class=\"data row1 col4\" >60.69%</td>\n",
              "      <td id=\"T_56505_row1_col5\" class=\"data row1 col5\" >80.86%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ],
      "id": "TvQe3j_kBNjA"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **A Tuned Decision Tree** yields a slightly lower F1 score compared to a Gradient Boosting Machine (GBM); however, it exhibits higher precision."
      ],
      "metadata": {
        "id": "zCgkgRAOgrs8"
      },
      "id": "zCgkgRAOgrs8"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Hyperparameter Tuning - Bagging Classifier"
      ],
      "metadata": {
        "id": "iCJUxWkCBNjA"
      },
      "id": "iCJUxWkCBNjA"
    },
    {
      "cell_type": "code",
      "source": [
        "# Choose the type of classifier.\n",
        "bagging_tuned = BaggingClassifier(random_state=42)\n",
        "\n",
        "# Grid of parameters to choose from\n",
        "parameters = {\n",
        "    'base_estimator': [DecisionTreeClassifier(max_depth=1, random_state=42),\n",
        "                       DecisionTreeClassifier(max_depth=2, random_state=42),\n",
        "                       DecisionTreeClassifier(max_depth=3, random_state=42)],\n",
        "              'n_estimators': [50, 100, 200],\n",
        "              }\n",
        "\n",
        "# Run the grid search\n",
        "grid_obj = GridSearchCV(bagging_tuned, parameters, cv=5, scoring='f1', n_jobs=-1) \n",
        "\n",
        "grid_obj = grid_obj.fit(X_train, y_train) \n",
        "\n",
        "# Set the clf to the best combination of parameters\n",
        "bagging_tuned = grid_obj.best_estimator_\n",
        "\n",
        "# Fit the best algorithm to the data.\n",
        "bagging_tuned.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 118
        },
        "outputId": "12941fe8-535d-4b9c-e138-3bbc533715f6",
        "id": "soqv3nf_BNjA"
      },
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "BaggingClassifier(base_estimator=DecisionTreeClassifier(max_depth=3,\n",
              "                                                        random_state=42),\n",
              "                  n_estimators=200, random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-10 {color: black;background-color: white;}#sk-container-id-10 pre{padding: 0;}#sk-container-id-10 div.sk-toggleable {background-color: white;}#sk-container-id-10 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-10 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-10 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-10 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-10 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-10 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-10 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-10 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-10 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-10 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-10 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-10 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-10 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-10 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-10 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-10 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-10 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-10 div.sk-item {position: relative;z-index: 1;}#sk-container-id-10 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-10 div.sk-item::before, #sk-container-id-10 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-10 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-10 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-10 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-10 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-10 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-10 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-10 div.sk-label-container {text-align: center;}#sk-container-id-10 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-10 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-10\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>BaggingClassifier(base_estimator=DecisionTreeClassifier(max_depth=3,\n",
              "                                                        random_state=42),\n",
              "                  n_estimators=200, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-12\" type=\"checkbox\" ><label for=\"sk-estimator-id-12\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">BaggingClassifier</label><div class=\"sk-toggleable__content\"><pre>BaggingClassifier(base_estimator=DecisionTreeClassifier(max_depth=3,\n",
              "                                                        random_state=42),\n",
              "                  n_estimators=200, random_state=42)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-13\" type=\"checkbox\" ><label for=\"sk-estimator-id-13\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">base_estimator: DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(max_depth=3, random_state=42)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-14\" type=\"checkbox\" ><label for=\"sk-estimator-id-14\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(max_depth=3, random_state=42)</pre></div></div></div></div></div></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 70
        }
      ],
      "id": "soqv3nf_BNjA"
    },
    {
      "cell_type": "code",
      "source": [
        "bagging_tuned_perf = model_performance(bagging_tuned, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "outputId": "b1353c3c-5f9d-4315-d9a6-89c9ea7a05d1",
        "id": "SUjvDHFMBNjA"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68a6c7e50>"
            ],
            "text/html": [
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              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_6ba51_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_6ba51_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_6ba51_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_6ba51_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_6ba51_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_6ba51_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_6ba51_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_6ba51_row0_col0\" class=\"data row0 col0\" >72.80%</td>\n",
              "      <td id=\"T_6ba51_row0_col1\" class=\"data row0 col1\" >73.77%</td>\n",
              "      <td id=\"T_6ba51_row0_col2\" class=\"data row0 col2\" >92.00%</td>\n",
              "      <td id=\"T_6ba51_row0_col3\" class=\"data row0 col3\" >67.97%</td>\n",
              "      <td id=\"T_6ba51_row0_col4\" class=\"data row0 col4\" >34.17%</td>\n",
              "      <td id=\"T_6ba51_row0_col5\" class=\"data row0 col5\" >81.88%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_6ba51_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_6ba51_row1_col0\" class=\"data row1 col0\" >73.61%</td>\n",
              "      <td id=\"T_6ba51_row1_col1\" class=\"data row1 col1\" >74.41%</td>\n",
              "      <td id=\"T_6ba51_row1_col2\" class=\"data row1 col2\" >92.22%</td>\n",
              "      <td id=\"T_6ba51_row1_col3\" class=\"data row1 col3\" >69.76%</td>\n",
              "      <td id=\"T_6ba51_row1_col4\" class=\"data row1 col4\" >36.15%</td>\n",
              "      <td id=\"T_6ba51_row1_col5\" class=\"data row1 col5\" >82.36%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ],
      "id": "SUjvDHFMBNjA"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **A Tuned Bagging Classifier**  achieves an F1 score similar to that of a Gradient Boosting Machine (GBM); however, it demonstrates the **highest NPV** (Negative Predictive Value)."
      ],
      "metadata": {
        "id": "9wgz_JyLhpYC"
      },
      "id": "9wgz_JyLhpYC"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Hyperparameter Tuning - Bagging Classifier with weighted decision tree"
      ],
      "metadata": {
        "id": "Y9gpyHdABNjA"
      },
      "id": "Y9gpyHdABNjA"
    },
    {
      "cell_type": "code",
      "source": [
        "# Choose the type of classifier.\n",
        "bagging_wt_tuned = BaggingClassifier(random_state=42)\n",
        "\n",
        "# Grid of parameters to choose from\n",
        "parameters = {\n",
        "    'base_estimator': [DecisionTreeClassifier(max_depth=1, class_weight=class_weight, random_state=42)],\n",
        "    'n_estimators': [50, 100, 200],\n",
        "    }\n",
        "\n",
        "# Run the grid search\n",
        "grid_obj = GridSearchCV(bagging_wt_tuned, parameters, cv=5, scoring='f1', n_jobs=-1) \n",
        "\n",
        "grid_obj = grid_obj.fit(X_train, y_train) \n",
        "\n",
        "# Set the clf to the best combination of parameters\n",
        "bagging_wt_tuned = grid_obj.best_estimator_\n",
        "\n",
        "# Fit the best algorithm to the data.\n",
        "bagging_wt_tuned.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 118
        },
        "outputId": "4b49044b-40dd-4998-a1c9-2462d57ba575",
        "id": "flnH61iKBNjA"
      },
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "BaggingClassifier(base_estimator=DecisionTreeClassifier(class_weight={0: 0.67,\n",
              "                                                                      1: 0.33},\n",
              "                                                        max_depth=1,\n",
              "                                                        random_state=42),\n",
              "                  n_estimators=50, random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-11 {color: black;background-color: white;}#sk-container-id-11 pre{padding: 0;}#sk-container-id-11 div.sk-toggleable {background-color: white;}#sk-container-id-11 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-11 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-11 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-11 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-11 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-11 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-11 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-11 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-11 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-11 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-11 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-11 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-11 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-11 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-11 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-11 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-11 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-11 div.sk-item {position: relative;z-index: 1;}#sk-container-id-11 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-11 div.sk-item::before, #sk-container-id-11 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-11 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-11 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-11 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-11 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-11 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-11 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-11 div.sk-label-container {text-align: center;}#sk-container-id-11 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-11 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-11\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>BaggingClassifier(base_estimator=DecisionTreeClassifier(class_weight={0: 0.67,\n",
              "                                                                      1: 0.33},\n",
              "                                                        max_depth=1,\n",
              "                                                        random_state=42),\n",
              "                  n_estimators=50, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-15\" type=\"checkbox\" ><label for=\"sk-estimator-id-15\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">BaggingClassifier</label><div class=\"sk-toggleable__content\"><pre>BaggingClassifier(base_estimator=DecisionTreeClassifier(class_weight={0: 0.67,\n",
              "                                                                      1: 0.33},\n",
              "                                                        max_depth=1,\n",
              "                                                        random_state=42),\n",
              "                  n_estimators=50, random_state=42)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-16\" type=\"checkbox\" ><label for=\"sk-estimator-id-16\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">base_estimator: DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(class_weight={0: 0.67, 1: 0.33}, max_depth=1,\n",
              "                       random_state=42)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-17\" type=\"checkbox\" ><label for=\"sk-estimator-id-17\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(class_weight={0: 0.67, 1: 0.33}, max_depth=1,\n",
              "                       random_state=42)</pre></div></div></div></div></div></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 72
        }
      ],
      "id": "flnH61iKBNjA"
    },
    {
      "cell_type": "code",
      "source": [
        "bagging_wt_tuned_perf = model_performance(bagging_wt_tuned, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "outputId": "90f54f2f-d5fa-4642-db43-d0efb95cfa18",
        "id": "w1LyZfMmBNjA"
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68a785430>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_90262 th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_90262\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_90262_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_90262_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_90262_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_90262_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_90262_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_90262_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_90262_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_90262_row0_col0\" class=\"data row0 col0\" >70.82%</td>\n",
              "      <td id=\"T_90262_row0_col1\" class=\"data row0 col1\" >71.73%</td>\n",
              "      <td id=\"T_90262_row0_col2\" class=\"data row0 col2\" >92.94%</td>\n",
              "      <td id=\"T_90262_row0_col3\" class=\"data row0 col3\" >64.91%</td>\n",
              "      <td id=\"T_90262_row0_col4\" class=\"data row0 col4\" >26.29%</td>\n",
              "      <td id=\"T_90262_row0_col5\" class=\"data row0 col5\" >80.97%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_90262_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_90262_row1_col0\" class=\"data row1 col0\" >71.71%</td>\n",
              "      <td id=\"T_90262_row1_col1\" class=\"data row1 col1\" >72.24%</td>\n",
              "      <td id=\"T_90262_row1_col2\" class=\"data row1 col2\" >93.65%</td>\n",
              "      <td id=\"T_90262_row1_col3\" class=\"data row1 col3\" >68.30%</td>\n",
              "      <td id=\"T_90262_row1_col4\" class=\"data row1 col4\" >27.55%</td>\n",
              "      <td id=\"T_90262_row1_col5\" class=\"data row1 col5\" >81.56%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ],
      "id": "w1LyZfMmBNjA"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **A Tuned Weighted Bagging Classifier** achieves a slightly lower F1 score compared to the Tuned Unweighted Bagging Classifier; however, it exhibits the **highest Recall**."
      ],
      "metadata": {
        "id": "AEA2NmiSiPUx"
      },
      "id": "AEA2NmiSiPUx"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Hyperparameter Tuning - Random Forest"
      ],
      "metadata": {
        "id": "D3lIKkkWBNjA"
      },
      "id": "D3lIKkkWBNjA"
    },
    {
      "cell_type": "code",
      "source": [
        "# Choose the type of classifier.\n",
        "rf_tuned = RandomForestClassifier(random_state=42)\n",
        "\n",
        "# Grid of parameters to choose from\n",
        "parameters = {\n",
        "    'max_depth': [None] + list(np.arange(6, 12, 3)),\n",
        "    'min_samples_leaf': [5],\n",
        "    'max_features': ['auto']\n",
        "    }\n",
        "\n",
        "# Run the grid search\n",
        "grid_obj = GridSearchCV(rf_tuned, parameters, cv=5, scoring='f1', n_jobs=-1) \n",
        "\n",
        "grid_obj = grid_obj.fit(X_train, y_train) \n",
        "\n",
        "# Set the clf to the best combination of parameters\n",
        "rf_tuned = grid_obj.best_estimator_\n",
        "\n",
        "# Fit the best algorithm to the data.\n",
        "rf_tuned.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 92
        },
        "outputId": "c0d72d72-ea7a-42d4-b7cd-a1eef064b57c",
        "id": "vrPbeTTgBNjA"
      },
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(max_depth=9, max_features='auto', min_samples_leaf=5,\n",
              "                       random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-12 {color: black;background-color: white;}#sk-container-id-12 pre{padding: 0;}#sk-container-id-12 div.sk-toggleable {background-color: white;}#sk-container-id-12 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-12 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-12 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-12 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-12 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-12 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-12 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-12 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-12 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-12 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-12 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-12 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-12 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-12 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-12 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-12 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-12 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-12 div.sk-item {position: relative;z-index: 1;}#sk-container-id-12 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-12 div.sk-item::before, #sk-container-id-12 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-12 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-12 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-12 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-12 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-12 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-12 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-12 div.sk-label-container {text-align: center;}#sk-container-id-12 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-12 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-12\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(max_depth=9, max_features=&#x27;auto&#x27;, min_samples_leaf=5,\n",
              "                       random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-18\" type=\"checkbox\" checked><label for=\"sk-estimator-id-18\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(max_depth=9, max_features=&#x27;auto&#x27;, min_samples_leaf=5,\n",
              "                       random_state=42)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 74
        }
      ],
      "id": "vrPbeTTgBNjA"
    },
    {
      "cell_type": "code",
      "source": [
        "rf_tuned_perf = model_performance(rf_tuned, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "outputId": "6b7ca437-34c0-4d01-a784-74510e685a90",
        "id": "EO_PajQ6BNjA"
      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68a128f40>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_ca531 th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_ca531\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_ca531_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_ca531_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_ca531_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_ca531_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_ca531_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_ca531_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_ca531_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_ca531_row0_col0\" class=\"data row0 col0\" >75.78%</td>\n",
              "      <td id=\"T_ca531_row0_col1\" class=\"data row0 col1\" >77.65%</td>\n",
              "      <td id=\"T_ca531_row0_col2\" class=\"data row0 col2\" >89.50%</td>\n",
              "      <td id=\"T_ca531_row0_col3\" class=\"data row0 col3\" >69.51%</td>\n",
              "      <td id=\"T_ca531_row0_col4\" class=\"data row0 col4\" >48.16%</td>\n",
              "      <td id=\"T_ca531_row0_col5\" class=\"data row0 col5\" >83.16%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ca531_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_ca531_row1_col0\" class=\"data row1 col0\" >75.30%</td>\n",
              "      <td id=\"T_ca531_row1_col1\" class=\"data row1 col1\" >77.57%</td>\n",
              "      <td id=\"T_ca531_row1_col2\" class=\"data row1 col2\" >88.67%</td>\n",
              "      <td id=\"T_ca531_row1_col3\" class=\"data row1 col3\" >67.96%</td>\n",
              "      <td id=\"T_ca531_row1_col4\" class=\"data row1 col4\" >48.38%</td>\n",
              "      <td id=\"T_ca531_row1_col5\" class=\"data row1 col5\" >82.75%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ],
      "id": "EO_PajQ6BNjA"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **A Tuned Random Forest** demonstrates the **highest F1 score** among the models compared."
      ],
      "metadata": {
        "id": "c4AHKsCUjGCw"
      },
      "id": "c4AHKsCUjGCw"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Hyperparameter Tuning - Random forest with class weights"
      ],
      "metadata": {
        "id": "nKAnh_7nBNjA"
      },
      "id": "nKAnh_7nBNjA"
    },
    {
      "cell_type": "code",
      "source": [
        "# Choose the type of classifier.\n",
        "rf_wt_tuned = RandomForestClassifier(random_state=42)\n",
        "\n",
        "# Grid of parameters to choose from\n",
        "parameters = {\n",
        "    'n_estimators': [50, 100],\n",
        "    'min_samples_split': [3, 5],\n",
        "    'min_samples_leaf': [2, 3],\n",
        "    }\n",
        "\n",
        "# Run the grid search\n",
        "grid_obj = GridSearchCV(rf_wt_tuned, parameters, cv=5, scoring='f1', n_jobs=-1) \n",
        "\n",
        "grid_obj = grid_obj.fit(X_train, y_train) \n",
        "\n",
        "# Set the clf to the best combination of parameters\n",
        "rf_wt_tuned = grid_obj.best_estimator_\n",
        "\n",
        "# Fit the best algorithm to the data.\n",
        "rf_wt_tuned.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "outputId": "97f26324-76bf-4fc9-919b-b4d62811b4d5",
        "id": "NdEmg3PcBNjA"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(min_samples_leaf=3, min_samples_split=3, random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-13 {color: black;background-color: white;}#sk-container-id-13 pre{padding: 0;}#sk-container-id-13 div.sk-toggleable {background-color: white;}#sk-container-id-13 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-13 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-13 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-13 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-13 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-13 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-13 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-13 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-13 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-13 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-13 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-13 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-13 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-13 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-13 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-13 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-13 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-13 div.sk-item {position: relative;z-index: 1;}#sk-container-id-13 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-13 div.sk-item::before, #sk-container-id-13 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-13 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-13 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-13 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-13 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-13 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-13 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-13 div.sk-label-container {text-align: center;}#sk-container-id-13 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-13 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-13\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(min_samples_leaf=3, min_samples_split=3, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-19\" type=\"checkbox\" checked><label for=\"sk-estimator-id-19\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(min_samples_leaf=3, min_samples_split=3, random_state=42)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 76
        }
      ],
      "id": "NdEmg3PcBNjA"
    },
    {
      "cell_type": "code",
      "source": [
        "rf_wt_tuned_perf = model_performance(rf_wt_tuned, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "outputId": "5c233101-199b-4f25-dc50-c34d2bedb190",
        "id": "DnL5Xh9iBNjA"
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68c351040>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_e79fe th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_e79fe\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_e79fe_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_e79fe_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_e79fe_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_e79fe_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_e79fe_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_e79fe_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_e79fe_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_e79fe_row0_col0\" class=\"data row0 col0\" >85.13%</td>\n",
              "      <td id=\"T_e79fe_row0_col1\" class=\"data row0 col1\" >85.14%</td>\n",
              "      <td id=\"T_e79fe_row0_col2\" class=\"data row0 col2\" >94.18%</td>\n",
              "      <td id=\"T_e79fe_row0_col3\" class=\"data row0 col3\" >85.11%</td>\n",
              "      <td id=\"T_e79fe_row0_col4\" class=\"data row0 col4\" >66.91%</td>\n",
              "      <td id=\"T_e79fe_row0_col5\" class=\"data row0 col5\" >89.44%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_e79fe_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_e79fe_row1_col0\" class=\"data row1 col0\" >74.39%</td>\n",
              "      <td id=\"T_e79fe_row1_col1\" class=\"data row1 col1\" >77.68%</td>\n",
              "      <td id=\"T_e79fe_row1_col2\" class=\"data row1 col2\" >86.53%</td>\n",
              "      <td id=\"T_e79fe_row1_col3\" class=\"data row1 col3\" >64.82%</td>\n",
              "      <td id=\"T_e79fe_row1_col4\" class=\"data row1 col4\" >49.96%</td>\n",
              "      <td id=\"T_e79fe_row1_col5\" class=\"data row1 col5\" >81.87%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ],
      "id": "DnL5Xh9iBNjA"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **A Tuned Weighted Random Forest** shows the lowest performance in all metrics among the tuned models being compared."
      ],
      "metadata": {
        "id": "4FqXBzhSjYXt"
      },
      "id": "4FqXBzhSjYXt"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Optimizing **Boosting models** through Hyperparameter Tuning"
      ],
      "metadata": {
        "id": "nVIbF0xMBNjB"
      },
      "id": "nVIbF0xMBNjB"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Hyperparameter Tuning - AdaBoost Classifier"
      ],
      "metadata": {
        "id": "hKns_D4yBNjB"
      },
      "id": "hKns_D4yBNjB"
    },
    {
      "cell_type": "code",
      "source": [
        "# Choose the type of classifier.\n",
        "abc_tuned = AdaBoostClassifier(random_state=42)\n",
        "\n",
        "# Grid of parameters to choose from\n",
        "parameters = {\n",
        "    'n_estimators': [100, 200],\n",
        "    'learning_rate': [0.001, 0.01],\n",
        "    'algorithm': ['SAMME', 'SAMME.R'],\n",
        "    'base_estimator': [DecisionTreeClassifier(max_depth=d) for d in range(1, 5, 2)]\n",
        "}\n",
        "\n",
        "# Run the grid search\n",
        "grid_obj = GridSearchCV(abc_tuned, parameters, cv=5, scoring='f1', n_jobs=-1) \n",
        "\n",
        "grid_obj = grid_obj.fit(X_train, y_train) \n",
        "\n",
        "# Set the clf to the best combination of parameters\n",
        "abc_tuned = grid_obj.best_estimator_\n",
        "\n",
        "# Fit the best algorithm to the data.\n",
        "abc_tuned.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 118
        },
        "outputId": "da1b80b8-dd37-4032-e37b-3a49d01d594b",
        "id": "7Hx9ZyGsBNjB"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=3),\n",
              "                   learning_rate=0.01, n_estimators=200, random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-14 {color: black;background-color: white;}#sk-container-id-14 pre{padding: 0;}#sk-container-id-14 div.sk-toggleable {background-color: white;}#sk-container-id-14 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-14 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-14 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-14 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-14 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-14 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-14 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-14 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-14 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-14 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-14 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-14 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-14 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-14 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-14 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-14 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-14 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-14 div.sk-item {position: relative;z-index: 1;}#sk-container-id-14 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-14 div.sk-item::before, #sk-container-id-14 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-14 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-14 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-14 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-14 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-14 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-14 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-14 div.sk-label-container {text-align: center;}#sk-container-id-14 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-14 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-14\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=3),\n",
              "                   learning_rate=0.01, n_estimators=200, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-20\" type=\"checkbox\" ><label for=\"sk-estimator-id-20\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">AdaBoostClassifier</label><div class=\"sk-toggleable__content\"><pre>AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=3),\n",
              "                   learning_rate=0.01, n_estimators=200, random_state=42)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-21\" type=\"checkbox\" ><label for=\"sk-estimator-id-21\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">base_estimator: DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(max_depth=3)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-22\" type=\"checkbox\" ><label for=\"sk-estimator-id-22\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(max_depth=3)</pre></div></div></div></div></div></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 78
        }
      ],
      "id": "7Hx9ZyGsBNjB"
    },
    {
      "cell_type": "code",
      "source": [
        "abc_tuned_perf = model_performance(abc_tuned, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "outputId": "f24fe390-8e99-4e1a-ad02-ad30caef297d",
        "id": "RFWgpkVABNjB"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd689a97220>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_994c6 th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_994c6\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_994c6_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_994c6_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_994c6_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_994c6_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_994c6_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_994c6_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_994c6_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_994c6_row0_col0\" class=\"data row0 col0\" >73.38%</td>\n",
              "      <td id=\"T_994c6_row0_col1\" class=\"data row0 col1\" >74.40%</td>\n",
              "      <td id=\"T_994c6_row0_col2\" class=\"data row0 col2\" >91.70%</td>\n",
              "      <td id=\"T_994c6_row0_col3\" class=\"data row0 col3\" >68.60%</td>\n",
              "      <td id=\"T_994c6_row0_col4\" class=\"data row0 col4\" >36.50%</td>\n",
              "      <td id=\"T_994c6_row0_col5\" class=\"data row0 col5\" >82.15%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_994c6_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_994c6_row1_col0\" class=\"data row1 col0\" >74.09%</td>\n",
              "      <td id=\"T_994c6_row1_col1\" class=\"data row1 col1\" >74.92%</td>\n",
              "      <td id=\"T_994c6_row1_col2\" class=\"data row1 col2\" >92.02%</td>\n",
              "      <td id=\"T_994c6_row1_col3\" class=\"data row1 col3\" >70.29%</td>\n",
              "      <td id=\"T_994c6_row1_col4\" class=\"data row1 col4\" >38.00%</td>\n",
              "      <td id=\"T_994c6_row1_col5\" class=\"data row1 col5\" >82.60%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ],
      "id": "RFWgpkVABNjB"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **A Tuned AdaBoost Classifier** demonstrates good average performance across all metrics when compared to other models, and it ranks fourth in our list of models."
      ],
      "metadata": {
        "id": "mbRpehe1kSpC"
      },
      "id": "mbRpehe1kSpC"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Hyperparameter Tuning - Gradient Boosting Classifier"
      ],
      "metadata": {
        "id": "mbJtdPBBBNjB"
      },
      "id": "mbJtdPBBBNjB"
    },
    {
      "cell_type": "code",
      "source": [
        "# Choose the type of classifier.\n",
        "gbc_tuned = GradientBoostingClassifier(random_state=42)\n",
        "\n",
        "# Grid of parameters to choose from\n",
        "parameters = {\n",
        "    'n_estimators': [50, 75],\n",
        "    'init': [None, AdaBoostClassifier(random_state=42)],\n",
        "    'max_features': [None, 'auto'],\n",
        "    }\n",
        "\n",
        "# Run the grid search\n",
        "grid_obj = GridSearchCV(gbc_tuned, parameters, cv=5, scoring='f1', n_jobs=-1) \n",
        "\n",
        "grid_obj = grid_obj.fit(X_train, y_train) \n",
        "\n",
        "# Set the clf to the best combination of parameters\n",
        "gbc_tuned = grid_obj.best_estimator_\n",
        "\n",
        "# Fit the best algorithm to the data.\n",
        "gbc_tuned.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "outputId": "e4fa9848-7f63-47aa-b9a4-b1d4a1c835cb",
        "id": "LigwSPc1BNjB"
      },
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "GradientBoostingClassifier(n_estimators=50, random_state=42)"
            ],
            "text/html": [
              "<style>#sk-container-id-15 {color: black;background-color: white;}#sk-container-id-15 pre{padding: 0;}#sk-container-id-15 div.sk-toggleable {background-color: white;}#sk-container-id-15 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-15 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-15 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-15 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-15 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-15 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-15 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-15 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-15 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-15 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-15 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-15 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-15 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-15 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-15 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-15 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-15 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-15 div.sk-item {position: relative;z-index: 1;}#sk-container-id-15 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-15 div.sk-item::before, #sk-container-id-15 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-15 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-15 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-15 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-15 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-15 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-15 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-15 div.sk-label-container {text-align: center;}#sk-container-id-15 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-15 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-15\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GradientBoostingClassifier(n_estimators=50, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-23\" type=\"checkbox\" checked><label for=\"sk-estimator-id-23\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GradientBoostingClassifier</label><div class=\"sk-toggleable__content\"><pre>GradientBoostingClassifier(n_estimators=50, random_state=42)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 80
        }
      ],
      "id": "LigwSPc1BNjB"
    },
    {
      "cell_type": "code",
      "source": [
        "gbc_tuned_perf = model_performance(gbc_tuned, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "outputId": "2434f5e7-5fa5-4d8d-d048-638d88b5cfdd",
        "id": "8it3gjLcBNjB"
      },
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68a1a3220>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_7f329 th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_7f329\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_7f329_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_7f329_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_7f329_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_7f329_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_7f329_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_7f329_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_7f329_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_7f329_row0_col0\" class=\"data row0 col0\" >74.91%</td>\n",
              "      <td id=\"T_7f329_row0_col1\" class=\"data row0 col1\" >77.50%</td>\n",
              "      <td id=\"T_7f329_row0_col2\" class=\"data row0 col2\" >88.00%</td>\n",
              "      <td id=\"T_7f329_row0_col3\" class=\"data row0 col3\" >66.78%</td>\n",
              "      <td id=\"T_7f329_row0_col4\" class=\"data row0 col4\" >48.56%</td>\n",
              "      <td id=\"T_7f329_row0_col5\" class=\"data row0 col5\" >82.41%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_7f329_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_7f329_row1_col0\" class=\"data row1 col0\" >75.27%</td>\n",
              "      <td id=\"T_7f329_row1_col1\" class=\"data row1 col1\" >77.92%</td>\n",
              "      <td id=\"T_7f329_row1_col2\" class=\"data row1 col2\" >87.88%</td>\n",
              "      <td id=\"T_7f329_row1_col3\" class=\"data row1 col3\" >67.16%</td>\n",
              "      <td id=\"T_7f329_row1_col4\" class=\"data row1 col4\" >49.88%</td>\n",
              "      <td id=\"T_7f329_row1_col5\" class=\"data row1 col5\" >82.61%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ],
      "id": "8it3gjLcBNjB"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **A Tuned Gradient Boosting Classifier** ranks third in terms of F1 score performance among the compared models."
      ],
      "metadata": {
        "id": "l6But5l1kpsG"
      },
      "id": "l6But5l1kpsG"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Hyperparameter Tuning - XGBoost Classifier"
      ],
      "metadata": {
        "id": "W9VX148LBNjB"
      },
      "id": "W9VX148LBNjB"
    },
    {
      "cell_type": "code",
      "source": [
        "# Choose the type of classifier.\n",
        "xgb_tuned = XGBClassifier(eval_metric='logloss',\n",
        "                          random_state=42)\n",
        "\n",
        "# Grid of parameters to choose from\n",
        "parameters = {\n",
        "    'n_estimators': [50, 100],\n",
        "    'learning_rate': [0.01, 0.001],\n",
        "    'gamma': [5, 6],\n",
        "    'subsample': [0.8, 1.0],\n",
        "    'colsample_bytree': [0.8, 0.7],\n",
        "    'colsample_bylevel': [1.0]\n",
        "    }\n",
        "\n",
        "# Run the grid search\n",
        "grid_obj = GridSearchCV(xgb_tuned, parameters, cv=5, scoring='f1', n_jobs=-1) \n",
        "\n",
        "grid_obj = grid_obj.fit(X_train, y_train) \n",
        "\n",
        "# Set the clf to the best combination of parameters\n",
        "xgb_tuned = grid_obj.best_estimator_\n",
        "\n",
        "# Fit the best algorithm to the data.\n",
        "xgb_tuned.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 248
        },
        "outputId": "cdbbfa66-e65e-4da4-df0c-858c85d0a87c",
        "id": "s3u5kW37BNjB"
      },
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
              "              colsample_bylevel=1.0, colsample_bynode=None,\n",
              "              colsample_bytree=0.8, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric='logloss',\n",
              "              feature_types=None, gamma=5, gpu_id=None, grow_policy=None,\n",
              "              importance_type=None, interaction_constraints=None,\n",
              "              learning_rate=0.001, max_bin=None, max_cat_threshold=None,\n",
              "              max_cat_to_onehot=None, max_delta_step=None, max_depth=None,\n",
              "              max_leaves=None, min_child_weight=None, missing=nan,\n",
              "              monotone_constraints=None, n_estimators=100, n_jobs=None,\n",
              "              num_parallel_tree=None, predictor=None, random_state=42, ...)"
            ],
            "text/html": [
              "<style>#sk-container-id-16 {color: black;background-color: white;}#sk-container-id-16 pre{padding: 0;}#sk-container-id-16 div.sk-toggleable {background-color: white;}#sk-container-id-16 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-16 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-16 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-16 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-16 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-16 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-16 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-16 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-16 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-16 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-16 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-16 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-16 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-16 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-16 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-16 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-16 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-16 div.sk-item {position: relative;z-index: 1;}#sk-container-id-16 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-16 div.sk-item::before, #sk-container-id-16 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-16 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-16 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-16 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-16 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-16 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-16 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-16 div.sk-label-container {text-align: center;}#sk-container-id-16 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-16 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-16\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
              "              colsample_bylevel=1.0, colsample_bynode=None,\n",
              "              colsample_bytree=0.8, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric=&#x27;logloss&#x27;,\n",
              "              feature_types=None, gamma=5, gpu_id=None, grow_policy=None,\n",
              "              importance_type=None, interaction_constraints=None,\n",
              "              learning_rate=0.001, max_bin=None, max_cat_threshold=None,\n",
              "              max_cat_to_onehot=None, max_delta_step=None, max_depth=None,\n",
              "              max_leaves=None, min_child_weight=None, missing=nan,\n",
              "              monotone_constraints=None, n_estimators=100, n_jobs=None,\n",
              "              num_parallel_tree=None, predictor=None, random_state=42, ...)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-24\" type=\"checkbox\" checked><label for=\"sk-estimator-id-24\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBClassifier</label><div class=\"sk-toggleable__content\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
              "              colsample_bylevel=1.0, colsample_bynode=None,\n",
              "              colsample_bytree=0.8, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric=&#x27;logloss&#x27;,\n",
              "              feature_types=None, gamma=5, gpu_id=None, grow_policy=None,\n",
              "              importance_type=None, interaction_constraints=None,\n",
              "              learning_rate=0.001, max_bin=None, max_cat_threshold=None,\n",
              "              max_cat_to_onehot=None, max_delta_step=None, max_depth=None,\n",
              "              max_leaves=None, min_child_weight=None, missing=nan,\n",
              "              monotone_constraints=None, n_estimators=100, n_jobs=None,\n",
              "              num_parallel_tree=None, predictor=None, random_state=42, ...)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ],
      "id": "s3u5kW37BNjB"
    },
    {
      "cell_type": "code",
      "source": [
        "xgb_tuned_perf = model_performance(xgb_tuned, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "outputId": "80eddfee-9407-4cce-853b-0e98a5e86b76",
        "id": "0TQ0ceztBNjB"
      },
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd689a3fe80>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_ef7e3 th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_ef7e3\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_ef7e3_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_ef7e3_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_ef7e3_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_ef7e3_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_ef7e3_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_ef7e3_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_ef7e3_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_ef7e3_row0_col0\" class=\"data row0 col0\" >74.65%</td>\n",
              "      <td id=\"T_ef7e3_row0_col1\" class=\"data row0 col1\" >75.80%</td>\n",
              "      <td id=\"T_ef7e3_row0_col2\" class=\"data row0 col2\" >91.16%</td>\n",
              "      <td id=\"T_ef7e3_row0_col3\" class=\"data row0 col3\" >69.95%</td>\n",
              "      <td id=\"T_ef7e3_row0_col4\" class=\"data row0 col4\" >41.42%</td>\n",
              "      <td id=\"T_ef7e3_row0_col5\" class=\"data row0 col5\" >82.77%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ef7e3_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_ef7e3_row1_col0\" class=\"data row1 col0\" >74.79%</td>\n",
              "      <td id=\"T_ef7e3_row1_col1\" class=\"data row1 col1\" >76.07%</td>\n",
              "      <td id=\"T_ef7e3_row1_col2\" class=\"data row1 col2\" >90.84%</td>\n",
              "      <td id=\"T_ef7e3_row1_col3\" class=\"data row1 col3\" >69.73%</td>\n",
              "      <td id=\"T_ef7e3_row1_col4\" class=\"data row1 col4\" >42.46%</td>\n",
              "      <td id=\"T_ef7e3_row1_col5\" class=\"data row1 col5\" >82.80%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ],
      "id": "0TQ0ceztBNjB"
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **A Tuned XGBoost Classifier** demonstrates fairly mediocre results. Perhaps a more precise tuning of the hyperparameters can improve the performance."
      ],
      "metadata": {
        "id": "FND_cT2Uk_Ks"
      },
      "id": "FND_cT2Uk_Ks"
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Stacking"
      ],
      "metadata": {
        "id": "gSqe32h4MsI8"
      },
      "id": "gSqe32h4MsI8"
    },
    {
      "cell_type": "code",
      "source": [
        "# Choose the type of classifier.\n",
        "stacking = StackingClassifier(estimators = [('rf', RandomForestClassifier(random_state=42)),\n",
        "                                            ('knn', AdaBoostClassifier(random_state=42)),\n",
        "                                            ('dt', GradientBoostingClassifier(random_state=42))],\n",
        "                              final_estimator = XGBClassifier(eval_metric='logloss', random_state=42))\n",
        "\n",
        "stacking.fit(X_train, y_train) "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 166
        },
        "outputId": "b2c0d9fa-a16d-43be-cd0b-56dfc293367c",
        "id": "_xZ4xWKuMsI9"
      },
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "StackingClassifier(estimators=[('rf', RandomForestClassifier(random_state=42)),\n",
              "                               ('knn', AdaBoostClassifier(random_state=42)),\n",
              "                               ('dt',\n",
              "                                GradientBoostingClassifier(random_state=42))],\n",
              "                   final_estimator=XGBClassifier(base_score=None, booster=None,\n",
              "                                                 callbacks=None,\n",
              "                                                 colsample_bylevel=None,\n",
              "                                                 colsample_bynode=None,\n",
              "                                                 colsample_bytree=None,\n",
              "                                                 early_stopping_rounds=None,\n",
              "                                                 enable_c...\n",
              "                                                 gpu_id=None, grow_policy=None,\n",
              "                                                 importance_type=None,\n",
              "                                                 interaction_constraints=None,\n",
              "                                                 learning_rate=None,\n",
              "                                                 max_bin=None,\n",
              "                                                 max_cat_threshold=None,\n",
              "                                                 max_cat_to_onehot=None,\n",
              "                                                 max_delta_step=None,\n",
              "                                                 max_depth=None,\n",
              "                                                 max_leaves=None,\n",
              "                                                 min_child_weight=None,\n",
              "                                                 missing=nan,\n",
              "                                                 monotone_constraints=None,\n",
              "                                                 n_estimators=100, n_jobs=None,\n",
              "                                                 num_parallel_tree=None,\n",
              "                                                 predictor=None,\n",
              "                                                 random_state=42, ...))"
            ],
            "text/html": [
              "<style>#sk-container-id-17 {color: black;background-color: white;}#sk-container-id-17 pre{padding: 0;}#sk-container-id-17 div.sk-toggleable {background-color: white;}#sk-container-id-17 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-17 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-17 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-17 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-17 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-17 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-17 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-17 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-17 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-17 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-17 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-17 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-17 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-17 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-17 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-17 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-17 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-17 div.sk-item {position: relative;z-index: 1;}#sk-container-id-17 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-17 div.sk-item::before, #sk-container-id-17 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-17 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-17 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-17 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-17 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-17 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-17 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-17 div.sk-label-container {text-align: center;}#sk-container-id-17 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-17 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-17\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>StackingClassifier(estimators=[(&#x27;rf&#x27;, RandomForestClassifier(random_state=42)),\n",
              "                               (&#x27;knn&#x27;, AdaBoostClassifier(random_state=42)),\n",
              "                               (&#x27;dt&#x27;,\n",
              "                                GradientBoostingClassifier(random_state=42))],\n",
              "                   final_estimator=XGBClassifier(base_score=None, booster=None,\n",
              "                                                 callbacks=None,\n",
              "                                                 colsample_bylevel=None,\n",
              "                                                 colsample_bynode=None,\n",
              "                                                 colsample_bytree=None,\n",
              "                                                 early_stopping_rounds=None,\n",
              "                                                 enable_c...\n",
              "                                                 gpu_id=None, grow_policy=None,\n",
              "                                                 importance_type=None,\n",
              "                                                 interaction_constraints=None,\n",
              "                                                 learning_rate=None,\n",
              "                                                 max_bin=None,\n",
              "                                                 max_cat_threshold=None,\n",
              "                                                 max_cat_to_onehot=None,\n",
              "                                                 max_delta_step=None,\n",
              "                                                 max_depth=None,\n",
              "                                                 max_leaves=None,\n",
              "                                                 min_child_weight=None,\n",
              "                                                 missing=nan,\n",
              "                                                 monotone_constraints=None,\n",
              "                                                 n_estimators=100, n_jobs=None,\n",
              "                                                 num_parallel_tree=None,\n",
              "                                                 predictor=None,\n",
              "                                                 random_state=42, ...))</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-25\" type=\"checkbox\" ><label for=\"sk-estimator-id-25\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">StackingClassifier</label><div class=\"sk-toggleable__content\"><pre>StackingClassifier(estimators=[(&#x27;rf&#x27;, RandomForestClassifier(random_state=42)),\n",
              "                               (&#x27;knn&#x27;, AdaBoostClassifier(random_state=42)),\n",
              "                               (&#x27;dt&#x27;,\n",
              "                                GradientBoostingClassifier(random_state=42))],\n",
              "                   final_estimator=XGBClassifier(base_score=None, booster=None,\n",
              "                                                 callbacks=None,\n",
              "                                                 colsample_bylevel=None,\n",
              "                                                 colsample_bynode=None,\n",
              "                                                 colsample_bytree=None,\n",
              "                                                 early_stopping_rounds=None,\n",
              "                                                 enable_c...\n",
              "                                                 gpu_id=None, grow_policy=None,\n",
              "                                                 importance_type=None,\n",
              "                                                 interaction_constraints=None,\n",
              "                                                 learning_rate=None,\n",
              "                                                 max_bin=None,\n",
              "                                                 max_cat_threshold=None,\n",
              "                                                 max_cat_to_onehot=None,\n",
              "                                                 max_delta_step=None,\n",
              "                                                 max_depth=None,\n",
              "                                                 max_leaves=None,\n",
              "                                                 min_child_weight=None,\n",
              "                                                 missing=nan,\n",
              "                                                 monotone_constraints=None,\n",
              "                                                 n_estimators=100, n_jobs=None,\n",
              "                                                 num_parallel_tree=None,\n",
              "                                                 predictor=None,\n",
              "                                                 random_state=42, ...))</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><label>rf</label></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-26\" type=\"checkbox\" ><label for=\"sk-estimator-id-26\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(random_state=42)</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><label>knn</label></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-27\" type=\"checkbox\" ><label for=\"sk-estimator-id-27\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">AdaBoostClassifier</label><div class=\"sk-toggleable__content\"><pre>AdaBoostClassifier(random_state=42)</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><label>dt</label></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-28\" type=\"checkbox\" ><label for=\"sk-estimator-id-28\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GradientBoostingClassifier</label><div class=\"sk-toggleable__content\"><pre>GradientBoostingClassifier(random_state=42)</pre></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><label>final_estimator</label></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-29\" type=\"checkbox\" ><label for=\"sk-estimator-id-29\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBClassifier</label><div class=\"sk-toggleable__content\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
              "              colsample_bylevel=None, colsample_bynode=None,\n",
              "              colsample_bytree=None, early_stopping_rounds=None,\n",
              "              enable_categorical=False, eval_metric=&#x27;logloss&#x27;,\n",
              "              feature_types=None, gamma=None, gpu_id=None, grow_policy=None,\n",
              "              importance_type=None, interaction_constraints=None,\n",
              "              learning_rate=None, max_bin=None, max_cat_threshold=None,\n",
              "              max_cat_to_onehot=None, max_delta_step=None, max_depth=None,\n",
              "              max_leaves=None, min_child_weight=None, missing=nan,\n",
              "              monotone_constraints=None, n_estimators=100, n_jobs=None,\n",
              "              num_parallel_tree=None, predictor=None, random_state=42, ...)</pre></div></div></div></div></div></div></div></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 84
        }
      ],
      "id": "_xZ4xWKuMsI9"
    },
    {
      "cell_type": "code",
      "source": [
        "stacking_perf = model_performance(stacking, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "outputId": "a65c54fb-29c6-496e-9575-51591557241f",
        "id": "Udd65V9vMsI9"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd691515f10>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_d72d7 th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_d72d7\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_d72d7_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_d72d7_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_d72d7_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_d72d7_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_d72d7_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_d72d7_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_d72d7_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_d72d7_row0_col0\" class=\"data row0 col0\" >78.04%</td>\n",
              "      <td id=\"T_d72d7_row0_col1\" class=\"data row0 col1\" >80.19%</td>\n",
              "      <td id=\"T_d72d7_row0_col2\" class=\"data row0 col2\" >89.16%</td>\n",
              "      <td id=\"T_d72d7_row0_col3\" class=\"data row0 col3\" >71.84%</td>\n",
              "      <td id=\"T_d72d7_row0_col4\" class=\"data row0 col4\" >55.67%</td>\n",
              "      <td id=\"T_d72d7_row0_col5\" class=\"data row0 col5\" >84.44%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d72d7_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_d72d7_row1_col0\" class=\"data row1 col0\" >74.50%</td>\n",
              "      <td id=\"T_d72d7_row1_col1\" class=\"data row1 col1\" >77.76%</td>\n",
              "      <td id=\"T_d72d7_row1_col2\" class=\"data row1 col2\" >86.59%</td>\n",
              "      <td id=\"T_d72d7_row1_col3\" class=\"data row1 col3\" >65.01%</td>\n",
              "      <td id=\"T_d72d7_row1_col4\" class=\"data row1 col4\" >50.16%</td>\n",
              "      <td id=\"T_d72d7_row1_col5\" class=\"data row1 col5\" >81.94%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ],
      "id": "Udd65V9vMsI9"
    },
    {
      "cell_type": "code",
      "source": [
        "# Choose the type of classifier.\n",
        "stacking_tuned = StackingClassifier(estimators = [('rf', rf_tuned),\n",
        "                                                  ('bagging', bagging_wt_tuned),\n",
        "                                                  ('gbc', gbc_tuned)],\n",
        "                                    final_estimator = abc_tuned)\n",
        "\n",
        "stacking_tuned.fit(X_train, y_train) "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 248
        },
        "id": "7nG9ID1lhATn",
        "outputId": "31e244aa-b8da-461c-a32f-b08f05795ea8"
      },
      "id": "7nG9ID1lhATn",
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "StackingClassifier(estimators=[('rf',\n",
              "                                RandomForestClassifier(max_depth=9,\n",
              "                                                       max_features='auto',\n",
              "                                                       min_samples_leaf=5,\n",
              "                                                       random_state=42)),\n",
              "                               ('bagging',\n",
              "                                BaggingClassifier(base_estimator=DecisionTreeClassifier(class_weight={0: 0.67,\n",
              "                                                                                                      1: 0.33},\n",
              "                                                                                        max_depth=1,\n",
              "                                                                                        random_state=42),\n",
              "                                                  n_estimators=50,\n",
              "                                                  random_state=42)),\n",
              "                               ('gbc',\n",
              "                                GradientBoostingClassifier(n_estimators=50,\n",
              "                                                           random_state=42))],\n",
              "                   final_estimator=AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=3),\n",
              "                                                      learning_rate=0.01,\n",
              "                                                      n_estimators=200,\n",
              "                                                      random_state=42))"
            ],
            "text/html": [
              "<style>#sk-container-id-18 {color: black;background-color: white;}#sk-container-id-18 pre{padding: 0;}#sk-container-id-18 div.sk-toggleable {background-color: white;}#sk-container-id-18 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-18 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-18 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-18 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-18 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-18 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-18 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-18 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-18 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-18 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-18 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-18 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-18 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-18 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-18 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-18 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-18 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-18 div.sk-item {position: relative;z-index: 1;}#sk-container-id-18 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-18 div.sk-item::before, #sk-container-id-18 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-18 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-18 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-18 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-18 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-18 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-18 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-18 div.sk-label-container {text-align: center;}#sk-container-id-18 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-18 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-18\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>StackingClassifier(estimators=[(&#x27;rf&#x27;,\n",
              "                                RandomForestClassifier(max_depth=9,\n",
              "                                                       max_features=&#x27;auto&#x27;,\n",
              "                                                       min_samples_leaf=5,\n",
              "                                                       random_state=42)),\n",
              "                               (&#x27;bagging&#x27;,\n",
              "                                BaggingClassifier(base_estimator=DecisionTreeClassifier(class_weight={0: 0.67,\n",
              "                                                                                                      1: 0.33},\n",
              "                                                                                        max_depth=1,\n",
              "                                                                                        random_state=42),\n",
              "                                                  n_estimators=50,\n",
              "                                                  random_state=42)),\n",
              "                               (&#x27;gbc&#x27;,\n",
              "                                GradientBoostingClassifier(n_estimators=50,\n",
              "                                                           random_state=42))],\n",
              "                   final_estimator=AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=3),\n",
              "                                                      learning_rate=0.01,\n",
              "                                                      n_estimators=200,\n",
              "                                                      random_state=42))</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-30\" type=\"checkbox\" ><label for=\"sk-estimator-id-30\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">StackingClassifier</label><div class=\"sk-toggleable__content\"><pre>StackingClassifier(estimators=[(&#x27;rf&#x27;,\n",
              "                                RandomForestClassifier(max_depth=9,\n",
              "                                                       max_features=&#x27;auto&#x27;,\n",
              "                                                       min_samples_leaf=5,\n",
              "                                                       random_state=42)),\n",
              "                               (&#x27;bagging&#x27;,\n",
              "                                BaggingClassifier(base_estimator=DecisionTreeClassifier(class_weight={0: 0.67,\n",
              "                                                                                                      1: 0.33},\n",
              "                                                                                        max_depth=1,\n",
              "                                                                                        random_state=42),\n",
              "                                                  n_estimators=50,\n",
              "                                                  random_state=42)),\n",
              "                               (&#x27;gbc&#x27;,\n",
              "                                GradientBoostingClassifier(n_estimators=50,\n",
              "                                                           random_state=42))],\n",
              "                   final_estimator=AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=3),\n",
              "                                                      learning_rate=0.01,\n",
              "                                                      n_estimators=200,\n",
              "                                                      random_state=42))</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><label>rf</label></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-31\" type=\"checkbox\" ><label for=\"sk-estimator-id-31\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(max_depth=9, max_features=&#x27;auto&#x27;, min_samples_leaf=5,\n",
              "                       random_state=42)</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><label>bagging</label></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-32\" type=\"checkbox\" ><label for=\"sk-estimator-id-32\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">base_estimator: DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(class_weight={0: 0.67, 1: 0.33}, max_depth=1,\n",
              "                       random_state=42)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-33\" type=\"checkbox\" ><label for=\"sk-estimator-id-33\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(class_weight={0: 0.67, 1: 0.33}, max_depth=1,\n",
              "                       random_state=42)</pre></div></div></div></div></div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><label>gbc</label></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-34\" type=\"checkbox\" ><label for=\"sk-estimator-id-34\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GradientBoostingClassifier</label><div class=\"sk-toggleable__content\"><pre>GradientBoostingClassifier(n_estimators=50, random_state=42)</pre></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><label>final_estimator</label></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-35\" type=\"checkbox\" ><label for=\"sk-estimator-id-35\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">base_estimator: DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(max_depth=3)</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-36\" type=\"checkbox\" ><label for=\"sk-estimator-id-36\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(max_depth=3)</pre></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "stacking_tuned_perf = model_performance(stacking_tuned, X_train, y_train, X_test, y_test, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "id": "kBCzJEEFhS0b",
        "outputId": "043aa15e-8d1c-449e-e8b6-518da4166759"
      },
      "id": "kBCzJEEFhS0b",
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x300 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68c10edc0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_b8708 th {\n",
              "  max-width: 75px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_b8708\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_b8708_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_b8708_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_b8708_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_b8708_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_b8708_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_b8708_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_b8708_level0_row0\" class=\"row_heading level0 row0\" >Train</th>\n",
              "      <td id=\"T_b8708_row0_col0\" class=\"data row0 col0\" >75.63%</td>\n",
              "      <td id=\"T_b8708_row0_col1\" class=\"data row0 col1\" >78.43%</td>\n",
              "      <td id=\"T_b8708_row0_col2\" class=\"data row0 col2\" >87.62%</td>\n",
              "      <td id=\"T_b8708_row0_col3\" class=\"data row0 col3\" >67.40%</td>\n",
              "      <td id=\"T_b8708_row0_col4\" class=\"data row0 col4\" >51.51%</td>\n",
              "      <td id=\"T_b8708_row0_col5\" class=\"data row0 col5\" >82.77%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b8708_level0_row1\" class=\"row_heading level0 row1\" >Test</th>\n",
              "      <td id=\"T_b8708_row1_col0\" class=\"data row1 col0\" >75.63%</td>\n",
              "      <td id=\"T_b8708_row1_col1\" class=\"data row1 col1\" >78.68%</td>\n",
              "      <td id=\"T_b8708_row1_col2\" class=\"data row1 col2\" >87.12%</td>\n",
              "      <td id=\"T_b8708_row1_col3\" class=\"data row1 col3\" >66.94%</td>\n",
              "      <td id=\"T_b8708_row1_col4\" class=\"data row1 col4\" >52.49%</td>\n",
              "      <td id=\"T_b8708_row1_col5\" class=\"data row1 col5\" >82.69%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **A Tuned Stacking** model ranks second in terms of F1 score performance among the compared models."
      ],
      "metadata": {
        "id": "ziNn5gRJlvrB"
      },
      "id": "ziNn5gRJlvrB"
    },
    {
      "cell_type": "markdown",
      "id": "obvious-maine",
      "metadata": {
        "id": "obvious-maine"
      },
      "source": [
        "## Model Performance Comparison and Conclusions"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 88,
      "id": "everyday-kinase",
      "metadata": {
        "id": "everyday-kinase"
      },
      "outputs": [],
      "source": [
        "dtree_perf['model'] = 'Deccision Tree'\n",
        "bagging_perf['model'] = 'Bagging'\n",
        "bagging_wt_perf['model'] = 'Weighted Bagging'\n",
        "rf_perf['model'] = 'Random Forest'\n",
        "rf_wt_perf['model'] = 'Weighted Random Forest'\n",
        "abc_perf['model'] = 'AdaBoost'\n",
        "gbc_perf['model'] = 'Gradient Boosting'\n",
        "xgb_perf['model'] = 'XGB'\n",
        "dtree_tuned_perf['model'] = 'Deccision Tree - Tuned'\n",
        "bagging_tuned_perf['model'] = 'Bagging - Tuned'\n",
        "bagging_wt_tuned_perf['model'] = 'Weighted Bagging - Tuned'\n",
        "rf_tuned_perf['model'] = 'Random Forest - Tuned'\n",
        "rf_wt_tuned_perf['model'] = 'Weighted Random Forest - Tuned'\n",
        "abc_tuned_perf['model'] = 'AdaBoost - Tuned'\n",
        "gbc_tuned_perf['model'] = 'Gradient Boosting - Tuned'\n",
        "xgb_tuned_perf['model'] = 'XGB - Tuned'\n",
        "stacking_perf['model'] = 'Stacking'\n",
        "stacking_tuned_perf['model'] = 'Stacking - Tuned'"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "models = pd.concat([dtree_perf, bagging_perf, bagging_wt_perf, rf_perf, rf_wt_perf,\n",
        "                    abc_perf, gbc_perf, xgb_perf, dtree_tuned_perf, \n",
        "                    bagging_tuned_perf, bagging_wt_tuned_perf, rf_tuned_perf, \n",
        "                    rf_wt_tuned_perf,abc_tuned_perf, gbc_tuned_perf, xgb_tuned_perf,\n",
        "                    stacking_perf, stacking_tuned_perf])"
      ],
      "metadata": {
        "id": "zRVM3IiUMe-p"
      },
      "id": "zRVM3IiUMe-p",
      "execution_count": 89,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Training performance comparison:\")\n",
        "models.loc['Train'].set_index('model').style\\\n",
        "  .set_table_styles([dict(selector=\"th\", \n",
        "                          props=[('min-width', '100px'),\n",
        "                                 ('text-align', 'right')])]).format('{:.2%}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 663
        },
        "id": "_sQfb2kaIh9D",
        "outputId": "818d0fd4-c683-4b20-f96d-08e628c895f7"
      },
      "id": "_sQfb2kaIh9D",
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training performance comparison:\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68c391af0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_4935a th {\n",
              "  min-width: 100px;\n",
              "  text-align: right;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_4935a\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_4935a_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_4935a_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_4935a_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_4935a_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_4935a_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_4935a_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >model</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "      <th class=\"blank col1\" >&nbsp;</th>\n",
              "      <th class=\"blank col2\" >&nbsp;</th>\n",
              "      <th class=\"blank col3\" >&nbsp;</th>\n",
              "      <th class=\"blank col4\" >&nbsp;</th>\n",
              "      <th class=\"blank col5\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row0\" class=\"row_heading level0 row0\" >Deccision Tree</th>\n",
              "      <td id=\"T_4935a_row0_col0\" class=\"data row0 col0\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row0_col1\" class=\"data row0 col1\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row0_col2\" class=\"data row0 col2\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row0_col3\" class=\"data row0 col3\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row0_col4\" class=\"data row0 col4\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row0_col5\" class=\"data row0 col5\" >100.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row1\" class=\"row_heading level0 row1\" >Bagging</th>\n",
              "      <td id=\"T_4935a_row1_col0\" class=\"data row1 col0\" >98.41%</td>\n",
              "      <td id=\"T_4935a_row1_col1\" class=\"data row1 col1\" >99.10%</td>\n",
              "      <td id=\"T_4935a_row1_col2\" class=\"data row1 col2\" >98.51%</td>\n",
              "      <td id=\"T_4935a_row1_col3\" class=\"data row1 col3\" >97.04%</td>\n",
              "      <td id=\"T_4935a_row1_col4\" class=\"data row1 col4\" >98.21%</td>\n",
              "      <td id=\"T_4935a_row1_col5\" class=\"data row1 col5\" >98.81%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row2\" class=\"row_heading level0 row2\" >Weighted Bagging</th>\n",
              "      <td id=\"T_4935a_row2_col0\" class=\"data row2 col0\" >98.40%</td>\n",
              "      <td id=\"T_4935a_row2_col1\" class=\"data row2 col1\" >98.94%</td>\n",
              "      <td id=\"T_4935a_row2_col2\" class=\"data row2 col2\" >98.66%</td>\n",
              "      <td id=\"T_4935a_row2_col3\" class=\"data row2 col3\" >97.33%</td>\n",
              "      <td id=\"T_4935a_row2_col4\" class=\"data row2 col4\" >97.87%</td>\n",
              "      <td id=\"T_4935a_row2_col5\" class=\"data row2 col5\" >98.80%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row3\" class=\"row_heading level0 row3\" >Random Forest</th>\n",
              "      <td id=\"T_4935a_row3_col0\" class=\"data row3 col0\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row3_col1\" class=\"data row3 col1\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row3_col2\" class=\"data row3 col2\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row3_col3\" class=\"data row3 col3\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row3_col4\" class=\"data row3 col4\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row3_col5\" class=\"data row3 col5\" >100.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row4\" class=\"row_heading level0 row4\" >Weighted Random Forest</th>\n",
              "      <td id=\"T_4935a_row4_col0\" class=\"data row4 col0\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row4_col1\" class=\"data row4 col1\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row4_col2\" class=\"data row4 col2\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row4_col3\" class=\"data row4 col3\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row4_col4\" class=\"data row4 col4\" >100.00%</td>\n",
              "      <td id=\"T_4935a_row4_col5\" class=\"data row4 col5\" >100.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row5\" class=\"row_heading level0 row5\" >AdaBoost</th>\n",
              "      <td id=\"T_4935a_row5_col0\" class=\"data row5 col0\" >73.55%</td>\n",
              "      <td id=\"T_4935a_row5_col1\" class=\"data row5 col1\" >75.84%</td>\n",
              "      <td id=\"T_4935a_row5_col2\" class=\"data row5 col2\" >88.66%</td>\n",
              "      <td id=\"T_4935a_row5_col3\" class=\"data row5 col3\" >65.40%</td>\n",
              "      <td id=\"T_4935a_row5_col4\" class=\"data row5 col4\" >43.13%</td>\n",
              "      <td id=\"T_4935a_row5_col5\" class=\"data row5 col5\" >81.75%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row6\" class=\"row_heading level0 row6\" >Gradient Boosting</th>\n",
              "      <td id=\"T_4935a_row6_col0\" class=\"data row6 col0\" >75.35%</td>\n",
              "      <td id=\"T_4935a_row6_col1\" class=\"data row6 col1\" >78.10%</td>\n",
              "      <td id=\"T_4935a_row6_col2\" class=\"data row6 col2\" >87.70%</td>\n",
              "      <td id=\"T_4935a_row6_col3\" class=\"data row6 col3\" >67.09%</td>\n",
              "      <td id=\"T_4935a_row6_col4\" class=\"data row6 col4\" >50.49%</td>\n",
              "      <td id=\"T_4935a_row6_col5\" class=\"data row6 col5\" >82.62%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row7\" class=\"row_heading level0 row7\" >XGB</th>\n",
              "      <td id=\"T_4935a_row7_col0\" class=\"data row7 col0\" >82.75%</td>\n",
              "      <td id=\"T_4935a_row7_col1\" class=\"data row7 col1\" >83.44%</td>\n",
              "      <td id=\"T_4935a_row7_col2\" class=\"data row7 col2\" >92.55%</td>\n",
              "      <td id=\"T_4935a_row7_col3\" class=\"data row7 col3\" >80.77%</td>\n",
              "      <td id=\"T_4935a_row7_col4\" class=\"data row7 col4\" >63.02%</td>\n",
              "      <td id=\"T_4935a_row7_col5\" class=\"data row7 col5\" >87.76%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row8\" class=\"row_heading level0 row8\" >Deccision Tree - Tuned</th>\n",
              "      <td id=\"T_4935a_row8_col0\" class=\"data row8 col0\" >73.62%</td>\n",
              "      <td id=\"T_4935a_row8_col1\" class=\"data row8 col1\" >79.89%</td>\n",
              "      <td id=\"T_4935a_row8_col2\" class=\"data row8 col2\" >80.88%</td>\n",
              "      <td id=\"T_4935a_row8_col3\" class=\"data row8 col3\" >60.53%</td>\n",
              "      <td id=\"T_4935a_row8_col4\" class=\"data row8 col4\" >59.02%</td>\n",
              "      <td id=\"T_4935a_row8_col5\" class=\"data row8 col5\" >80.38%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row9\" class=\"row_heading level0 row9\" >Bagging - Tuned</th>\n",
              "      <td id=\"T_4935a_row9_col0\" class=\"data row9 col0\" >72.80%</td>\n",
              "      <td id=\"T_4935a_row9_col1\" class=\"data row9 col1\" >73.77%</td>\n",
              "      <td id=\"T_4935a_row9_col2\" class=\"data row9 col2\" >92.00%</td>\n",
              "      <td id=\"T_4935a_row9_col3\" class=\"data row9 col3\" >67.97%</td>\n",
              "      <td id=\"T_4935a_row9_col4\" class=\"data row9 col4\" >34.17%</td>\n",
              "      <td id=\"T_4935a_row9_col5\" class=\"data row9 col5\" >81.88%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row10\" class=\"row_heading level0 row10\" >Weighted Bagging - Tuned</th>\n",
              "      <td id=\"T_4935a_row10_col0\" class=\"data row10 col0\" >70.82%</td>\n",
              "      <td id=\"T_4935a_row10_col1\" class=\"data row10 col1\" >71.73%</td>\n",
              "      <td id=\"T_4935a_row10_col2\" class=\"data row10 col2\" >92.94%</td>\n",
              "      <td id=\"T_4935a_row10_col3\" class=\"data row10 col3\" >64.91%</td>\n",
              "      <td id=\"T_4935a_row10_col4\" class=\"data row10 col4\" >26.29%</td>\n",
              "      <td id=\"T_4935a_row10_col5\" class=\"data row10 col5\" >80.97%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row11\" class=\"row_heading level0 row11\" >Random Forest - Tuned</th>\n",
              "      <td id=\"T_4935a_row11_col0\" class=\"data row11 col0\" >75.78%</td>\n",
              "      <td id=\"T_4935a_row11_col1\" class=\"data row11 col1\" >77.65%</td>\n",
              "      <td id=\"T_4935a_row11_col2\" class=\"data row11 col2\" >89.50%</td>\n",
              "      <td id=\"T_4935a_row11_col3\" class=\"data row11 col3\" >69.51%</td>\n",
              "      <td id=\"T_4935a_row11_col4\" class=\"data row11 col4\" >48.16%</td>\n",
              "      <td id=\"T_4935a_row11_col5\" class=\"data row11 col5\" >83.16%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row12\" class=\"row_heading level0 row12\" >Weighted Random Forest - Tuned</th>\n",
              "      <td id=\"T_4935a_row12_col0\" class=\"data row12 col0\" >85.13%</td>\n",
              "      <td id=\"T_4935a_row12_col1\" class=\"data row12 col1\" >85.14%</td>\n",
              "      <td id=\"T_4935a_row12_col2\" class=\"data row12 col2\" >94.18%</td>\n",
              "      <td id=\"T_4935a_row12_col3\" class=\"data row12 col3\" >85.11%</td>\n",
              "      <td id=\"T_4935a_row12_col4\" class=\"data row12 col4\" >66.91%</td>\n",
              "      <td id=\"T_4935a_row12_col5\" class=\"data row12 col5\" >89.44%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row13\" class=\"row_heading level0 row13\" >AdaBoost - Tuned</th>\n",
              "      <td id=\"T_4935a_row13_col0\" class=\"data row13 col0\" >73.38%</td>\n",
              "      <td id=\"T_4935a_row13_col1\" class=\"data row13 col1\" >74.40%</td>\n",
              "      <td id=\"T_4935a_row13_col2\" class=\"data row13 col2\" >91.70%</td>\n",
              "      <td id=\"T_4935a_row13_col3\" class=\"data row13 col3\" >68.60%</td>\n",
              "      <td id=\"T_4935a_row13_col4\" class=\"data row13 col4\" >36.50%</td>\n",
              "      <td id=\"T_4935a_row13_col5\" class=\"data row13 col5\" >82.15%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row14\" class=\"row_heading level0 row14\" >Gradient Boosting - Tuned</th>\n",
              "      <td id=\"T_4935a_row14_col0\" class=\"data row14 col0\" >74.91%</td>\n",
              "      <td id=\"T_4935a_row14_col1\" class=\"data row14 col1\" >77.50%</td>\n",
              "      <td id=\"T_4935a_row14_col2\" class=\"data row14 col2\" >88.00%</td>\n",
              "      <td id=\"T_4935a_row14_col3\" class=\"data row14 col3\" >66.78%</td>\n",
              "      <td id=\"T_4935a_row14_col4\" class=\"data row14 col4\" >48.56%</td>\n",
              "      <td id=\"T_4935a_row14_col5\" class=\"data row14 col5\" >82.41%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row15\" class=\"row_heading level0 row15\" >XGB - Tuned</th>\n",
              "      <td id=\"T_4935a_row15_col0\" class=\"data row15 col0\" >74.65%</td>\n",
              "      <td id=\"T_4935a_row15_col1\" class=\"data row15 col1\" >75.80%</td>\n",
              "      <td id=\"T_4935a_row15_col2\" class=\"data row15 col2\" >91.16%</td>\n",
              "      <td id=\"T_4935a_row15_col3\" class=\"data row15 col3\" >69.95%</td>\n",
              "      <td id=\"T_4935a_row15_col4\" class=\"data row15 col4\" >41.42%</td>\n",
              "      <td id=\"T_4935a_row15_col5\" class=\"data row15 col5\" >82.77%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row16\" class=\"row_heading level0 row16\" >Stacking</th>\n",
              "      <td id=\"T_4935a_row16_col0\" class=\"data row16 col0\" >78.04%</td>\n",
              "      <td id=\"T_4935a_row16_col1\" class=\"data row16 col1\" >80.19%</td>\n",
              "      <td id=\"T_4935a_row16_col2\" class=\"data row16 col2\" >89.16%</td>\n",
              "      <td id=\"T_4935a_row16_col3\" class=\"data row16 col3\" >71.84%</td>\n",
              "      <td id=\"T_4935a_row16_col4\" class=\"data row16 col4\" >55.67%</td>\n",
              "      <td id=\"T_4935a_row16_col5\" class=\"data row16 col5\" >84.44%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_4935a_level0_row17\" class=\"row_heading level0 row17\" >Stacking - Tuned</th>\n",
              "      <td id=\"T_4935a_row17_col0\" class=\"data row17 col0\" >75.63%</td>\n",
              "      <td id=\"T_4935a_row17_col1\" class=\"data row17 col1\" >78.43%</td>\n",
              "      <td id=\"T_4935a_row17_col2\" class=\"data row17 col2\" >87.62%</td>\n",
              "      <td id=\"T_4935a_row17_col3\" class=\"data row17 col3\" >67.40%</td>\n",
              "      <td id=\"T_4935a_row17_col4\" class=\"data row17 col4\" >51.51%</td>\n",
              "      <td id=\"T_4935a_row17_col5\" class=\"data row17 col5\" >82.77%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Testing performance comparison:\")\n",
        "models.loc['Test'].set_index('model').sort_values(by='F1', ascending=False).style\\\n",
        "  .set_table_styles([dict(selector=\"th\", props=[('min-width', '100px'), \n",
        "                                                ('text-align', 'right')])])\\\n",
        "  .highlight_max(color = 'lightgreen', axis = 0).format('{:.2%}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 663
        },
        "id": "RT6_HhWMMXcQ",
        "outputId": "ce0dd536-9d61-44ee-c48b-5428b544a8c0"
      },
      "id": "RT6_HhWMMXcQ",
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Testing performance comparison:\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68a7cf340>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_b99a3 th {\n",
              "  min-width: 100px;\n",
              "  text-align: right;\n",
              "}\n",
              "#T_b99a3_row0_col5, #T_b99a3_row2_col0, #T_b99a3_row4_col3, #T_b99a3_row10_col2, #T_b99a3_row12_col1, #T_b99a3_row12_col4 {\n",
              "  background-color: lightgreen;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_b99a3\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_b99a3_level0_col0\" class=\"col_heading level0 col0\" >Accuracy</th>\n",
              "      <th id=\"T_b99a3_level0_col1\" class=\"col_heading level0 col1\" >Precision</th>\n",
              "      <th id=\"T_b99a3_level0_col2\" class=\"col_heading level0 col2\" >Recall</th>\n",
              "      <th id=\"T_b99a3_level0_col3\" class=\"col_heading level0 col3\" >NPV</th>\n",
              "      <th id=\"T_b99a3_level0_col4\" class=\"col_heading level0 col4\" >Specificity</th>\n",
              "      <th id=\"T_b99a3_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >model</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "      <th class=\"blank col1\" >&nbsp;</th>\n",
              "      <th class=\"blank col2\" >&nbsp;</th>\n",
              "      <th class=\"blank col3\" >&nbsp;</th>\n",
              "      <th class=\"blank col4\" >&nbsp;</th>\n",
              "      <th class=\"blank col5\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row0\" class=\"row_heading level0 row0\" >XGB - Tuned</th>\n",
              "      <td id=\"T_b99a3_row0_col0\" class=\"data row0 col0\" >74.79%</td>\n",
              "      <td id=\"T_b99a3_row0_col1\" class=\"data row0 col1\" >76.07%</td>\n",
              "      <td id=\"T_b99a3_row0_col2\" class=\"data row0 col2\" >90.84%</td>\n",
              "      <td id=\"T_b99a3_row0_col3\" class=\"data row0 col3\" >69.73%</td>\n",
              "      <td id=\"T_b99a3_row0_col4\" class=\"data row0 col4\" >42.46%</td>\n",
              "      <td id=\"T_b99a3_row0_col5\" class=\"data row0 col5\" >82.80%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row1\" class=\"row_heading level0 row1\" >Random Forest - Tuned</th>\n",
              "      <td id=\"T_b99a3_row1_col0\" class=\"data row1 col0\" >75.30%</td>\n",
              "      <td id=\"T_b99a3_row1_col1\" class=\"data row1 col1\" >77.57%</td>\n",
              "      <td id=\"T_b99a3_row1_col2\" class=\"data row1 col2\" >88.67%</td>\n",
              "      <td id=\"T_b99a3_row1_col3\" class=\"data row1 col3\" >67.96%</td>\n",
              "      <td id=\"T_b99a3_row1_col4\" class=\"data row1 col4\" >48.38%</td>\n",
              "      <td id=\"T_b99a3_row1_col5\" class=\"data row1 col5\" >82.75%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row2\" class=\"row_heading level0 row2\" >Stacking - Tuned</th>\n",
              "      <td id=\"T_b99a3_row2_col0\" class=\"data row2 col0\" >75.63%</td>\n",
              "      <td id=\"T_b99a3_row2_col1\" class=\"data row2 col1\" >78.68%</td>\n",
              "      <td id=\"T_b99a3_row2_col2\" class=\"data row2 col2\" >87.12%</td>\n",
              "      <td id=\"T_b99a3_row2_col3\" class=\"data row2 col3\" >66.94%</td>\n",
              "      <td id=\"T_b99a3_row2_col4\" class=\"data row2 col4\" >52.49%</td>\n",
              "      <td id=\"T_b99a3_row2_col5\" class=\"data row2 col5\" >82.69%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row3\" class=\"row_heading level0 row3\" >Gradient Boosting - Tuned</th>\n",
              "      <td id=\"T_b99a3_row3_col0\" class=\"data row3 col0\" >75.27%</td>\n",
              "      <td id=\"T_b99a3_row3_col1\" class=\"data row3 col1\" >77.92%</td>\n",
              "      <td id=\"T_b99a3_row3_col2\" class=\"data row3 col2\" >87.88%</td>\n",
              "      <td id=\"T_b99a3_row3_col3\" class=\"data row3 col3\" >67.16%</td>\n",
              "      <td id=\"T_b99a3_row3_col4\" class=\"data row3 col4\" >49.88%</td>\n",
              "      <td id=\"T_b99a3_row3_col5\" class=\"data row3 col5\" >82.61%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row4\" class=\"row_heading level0 row4\" >AdaBoost - Tuned</th>\n",
              "      <td id=\"T_b99a3_row4_col0\" class=\"data row4 col0\" >74.09%</td>\n",
              "      <td id=\"T_b99a3_row4_col1\" class=\"data row4 col1\" >74.92%</td>\n",
              "      <td id=\"T_b99a3_row4_col2\" class=\"data row4 col2\" >92.02%</td>\n",
              "      <td id=\"T_b99a3_row4_col3\" class=\"data row4 col3\" >70.29%</td>\n",
              "      <td id=\"T_b99a3_row4_col4\" class=\"data row4 col4\" >38.00%</td>\n",
              "      <td id=\"T_b99a3_row4_col5\" class=\"data row4 col5\" >82.60%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row5\" class=\"row_heading level0 row5\" >Gradient Boosting</th>\n",
              "      <td id=\"T_b99a3_row5_col0\" class=\"data row5 col0\" >75.27%</td>\n",
              "      <td id=\"T_b99a3_row5_col1\" class=\"data row5 col1\" >78.18%</td>\n",
              "      <td id=\"T_b99a3_row5_col2\" class=\"data row5 col2\" >87.38%</td>\n",
              "      <td id=\"T_b99a3_row5_col3\" class=\"data row5 col3\" >66.70%</td>\n",
              "      <td id=\"T_b99a3_row5_col4\" class=\"data row5 col4\" >50.91%</td>\n",
              "      <td id=\"T_b99a3_row5_col5\" class=\"data row5 col5\" >82.52%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row6\" class=\"row_heading level0 row6\" >Bagging - Tuned</th>\n",
              "      <td id=\"T_b99a3_row6_col0\" class=\"data row6 col0\" >73.61%</td>\n",
              "      <td id=\"T_b99a3_row6_col1\" class=\"data row6 col1\" >74.41%</td>\n",
              "      <td id=\"T_b99a3_row6_col2\" class=\"data row6 col2\" >92.22%</td>\n",
              "      <td id=\"T_b99a3_row6_col3\" class=\"data row6 col3\" >69.76%</td>\n",
              "      <td id=\"T_b99a3_row6_col4\" class=\"data row6 col4\" >36.15%</td>\n",
              "      <td id=\"T_b99a3_row6_col5\" class=\"data row6 col5\" >82.36%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row7\" class=\"row_heading level0 row7\" >AdaBoost</th>\n",
              "      <td id=\"T_b99a3_row7_col0\" class=\"data row7 col0\" >74.07%</td>\n",
              "      <td id=\"T_b99a3_row7_col1\" class=\"data row7 col1\" >76.24%</td>\n",
              "      <td id=\"T_b99a3_row7_col2\" class=\"data row7 col2\" >88.88%</td>\n",
              "      <td id=\"T_b99a3_row7_col3\" class=\"data row7 col3\" >66.41%</td>\n",
              "      <td id=\"T_b99a3_row7_col4\" class=\"data row7 col4\" >44.24%</td>\n",
              "      <td id=\"T_b99a3_row7_col5\" class=\"data row7 col5\" >82.08%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row8\" class=\"row_heading level0 row8\" >Stacking</th>\n",
              "      <td id=\"T_b99a3_row8_col0\" class=\"data row8 col0\" >74.50%</td>\n",
              "      <td id=\"T_b99a3_row8_col1\" class=\"data row8 col1\" >77.76%</td>\n",
              "      <td id=\"T_b99a3_row8_col2\" class=\"data row8 col2\" >86.59%</td>\n",
              "      <td id=\"T_b99a3_row8_col3\" class=\"data row8 col3\" >65.01%</td>\n",
              "      <td id=\"T_b99a3_row8_col4\" class=\"data row8 col4\" >50.16%</td>\n",
              "      <td id=\"T_b99a3_row8_col5\" class=\"data row8 col5\" >81.94%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row9\" class=\"row_heading level0 row9\" >Weighted Random Forest - Tuned</th>\n",
              "      <td id=\"T_b99a3_row9_col0\" class=\"data row9 col0\" >74.39%</td>\n",
              "      <td id=\"T_b99a3_row9_col1\" class=\"data row9 col1\" >77.68%</td>\n",
              "      <td id=\"T_b99a3_row9_col2\" class=\"data row9 col2\" >86.53%</td>\n",
              "      <td id=\"T_b99a3_row9_col3\" class=\"data row9 col3\" >64.82%</td>\n",
              "      <td id=\"T_b99a3_row9_col4\" class=\"data row9 col4\" >49.96%</td>\n",
              "      <td id=\"T_b99a3_row9_col5\" class=\"data row9 col5\" >81.87%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row10\" class=\"row_heading level0 row10\" >Weighted Bagging - Tuned</th>\n",
              "      <td id=\"T_b99a3_row10_col0\" class=\"data row10 col0\" >71.71%</td>\n",
              "      <td id=\"T_b99a3_row10_col1\" class=\"data row10 col1\" >72.24%</td>\n",
              "      <td id=\"T_b99a3_row10_col2\" class=\"data row10 col2\" >93.65%</td>\n",
              "      <td id=\"T_b99a3_row10_col3\" class=\"data row10 col3\" >68.30%</td>\n",
              "      <td id=\"T_b99a3_row10_col4\" class=\"data row10 col4\" >27.55%</td>\n",
              "      <td id=\"T_b99a3_row10_col5\" class=\"data row10 col5\" >81.56%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row11\" class=\"row_heading level0 row11\" >XGB</th>\n",
              "      <td id=\"T_b99a3_row11_col0\" class=\"data row11 col0\" >73.78%</td>\n",
              "      <td id=\"T_b99a3_row11_col1\" class=\"data row11 col1\" >77.33%</td>\n",
              "      <td id=\"T_b99a3_row11_col2\" class=\"data row11 col2\" >85.94%</td>\n",
              "      <td id=\"T_b99a3_row11_col3\" class=\"data row11 col3\" >63.53%</td>\n",
              "      <td id=\"T_b99a3_row11_col4\" class=\"data row11 col4\" >49.29%</td>\n",
              "      <td id=\"T_b99a3_row11_col5\" class=\"data row11 col5\" >81.41%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row12\" class=\"row_heading level0 row12\" >Deccision Tree - Tuned</th>\n",
              "      <td id=\"T_b99a3_row12_col0\" class=\"data row12 col0\" >74.34%</td>\n",
              "      <td id=\"T_b99a3_row12_col1\" class=\"data row12 col1\" >80.60%</td>\n",
              "      <td id=\"T_b99a3_row12_col2\" class=\"data row12 col2\" >81.12%</td>\n",
              "      <td id=\"T_b99a3_row12_col3\" class=\"data row12 col3\" >61.50%</td>\n",
              "      <td id=\"T_b99a3_row12_col4\" class=\"data row12 col4\" >60.69%</td>\n",
              "      <td id=\"T_b99a3_row12_col5\" class=\"data row12 col5\" >80.86%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row13\" class=\"row_heading level0 row13\" >Weighted Random Forest</th>\n",
              "      <td id=\"T_b99a3_row13_col0\" class=\"data row13 col0\" >72.76%</td>\n",
              "      <td id=\"T_b99a3_row13_col1\" class=\"data row13 col1\" >77.02%</td>\n",
              "      <td id=\"T_b99a3_row13_col2\" class=\"data row13 col2\" >84.41%</td>\n",
              "      <td id=\"T_b99a3_row13_col3\" class=\"data row13 col3\" >61.11%</td>\n",
              "      <td id=\"T_b99a3_row13_col4\" class=\"data row13 col4\" >49.29%</td>\n",
              "      <td id=\"T_b99a3_row13_col5\" class=\"data row13 col5\" >80.55%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row14\" class=\"row_heading level0 row14\" >Random Forest</th>\n",
              "      <td id=\"T_b99a3_row14_col0\" class=\"data row14 col0\" >72.38%</td>\n",
              "      <td id=\"T_b99a3_row14_col1\" class=\"data row14 col1\" >77.11%</td>\n",
              "      <td id=\"T_b99a3_row14_col2\" class=\"data row14 col2\" >83.42%</td>\n",
              "      <td id=\"T_b99a3_row14_col3\" class=\"data row14 col3\" >60.04%</td>\n",
              "      <td id=\"T_b99a3_row14_col4\" class=\"data row14 col4\" >50.16%</td>\n",
              "      <td id=\"T_b99a3_row14_col5\" class=\"data row14 col5\" >80.14%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row15\" class=\"row_heading level0 row15\" >Weighted Bagging</th>\n",
              "      <td id=\"T_b99a3_row15_col0\" class=\"data row15 col0\" >70.16%</td>\n",
              "      <td id=\"T_b99a3_row15_col1\" class=\"data row15 col1\" >76.75%</td>\n",
              "      <td id=\"T_b99a3_row15_col2\" class=\"data row15 col2\" >79.40%</td>\n",
              "      <td id=\"T_b99a3_row15_col3\" class=\"data row15 col3\" >55.43%</td>\n",
              "      <td id=\"T_b99a3_row15_col4\" class=\"data row15 col4\" >51.58%</td>\n",
              "      <td id=\"T_b99a3_row15_col5\" class=\"data row15 col5\" >78.05%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row16\" class=\"row_heading level0 row16\" >Bagging</th>\n",
              "      <td id=\"T_b99a3_row16_col0\" class=\"data row16 col0\" >69.88%</td>\n",
              "      <td id=\"T_b99a3_row16_col1\" class=\"data row16 col1\" >77.44%</td>\n",
              "      <td id=\"T_b99a3_row16_col2\" class=\"data row16 col2\" >77.48%</td>\n",
              "      <td id=\"T_b99a3_row16_col3\" class=\"data row16 col3\" >54.62%</td>\n",
              "      <td id=\"T_b99a3_row16_col4\" class=\"data row16 col4\" >54.58%</td>\n",
              "      <td id=\"T_b99a3_row16_col5\" class=\"data row16 col5\" >77.46%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b99a3_level0_row17\" class=\"row_heading level0 row17\" >Deccision Tree</th>\n",
              "      <td id=\"T_b99a3_row17_col0\" class=\"data row17 col0\" >66.02%</td>\n",
              "      <td id=\"T_b99a3_row17_col1\" class=\"data row17 col1\" >74.19%</td>\n",
              "      <td id=\"T_b99a3_row17_col2\" class=\"data row17 col2\" >75.36%</td>\n",
              "      <td id=\"T_b99a3_row17_col3\" class=\"data row17 col3\" >48.78%</td>\n",
              "      <td id=\"T_b99a3_row17_col4\" class=\"data row17 col4\" >47.24%</td>\n",
              "      <td id=\"T_b99a3_row17_col5\" class=\"data row17 col5\" >74.77%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* The table above presents a performance comparison of various machine learning models for the visa approval problem. The F1 score was used as the primary metric for scoring, as it balances both precision and recall. Additional metrics used for comparison include accuracy, precision, recall, negative predictive value (NPV), and specificity.\n",
        "\n",
        "* Based on the **`F1 score`**, the top 3 models are:\n",
        "  1. XGB - Tuned (82.80%)\n",
        "  2. Random Forest - Tuned (82.75%)\n",
        "  3. Stacking - Tuned (82.69%)\n",
        "\n",
        "* Based on the `Accuracy`, the best model is `Stacking - Tuned` (75.63%)\n",
        "\n",
        "* Based on the `Recall`, the best model is `Weighted Bagging - Tuned` (93.65%)\n",
        "\n",
        "* Based on the `Precision`, the best model is `Decison Tree - Tuned` (80.60%)\n",
        "\n",
        "* When deciding on the best model for the visa approval problem, both model complexity and model robustness were taken into account.\n",
        "\n",
        "  * **Model complexity** refers to the intricacy of a model's structure and its underlying mathematics. More complex models may require more computational resources and time, making them more challenging to deploy, maintain, and interpret. Simpler models, on the other hand, might be more interpretable and easier to maintain, which can be valuable in certain applications.\n",
        "  * **Model robustness** relates to the model's ability to maintain its performance when there are changes in data distribution or when exposed to new and unseen data. Some models may be more sensitive to such changes, making them less reliable in real-world scenarios. In contrast, more robust models can generalize better, providing more consistent and reliable predictions.\n"
      ],
      "metadata": {
        "id": "8ECW0If_RiNT"
      },
      "id": "8ECW0If_RiNT"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Plotting the feature importance of each variable**"
      ],
      "metadata": {
        "id": "w9BhFPLaPeQ0"
      },
      "id": "w9BhFPLaPeQ0"
    },
    {
      "cell_type": "code",
      "source": [
        "pd.concat([pd.DataFrame(xgb_tuned.feature_importances_,\n",
        "                        columns = [\"XGB - Tuned\"], index = X_train.columns),\n",
        "           pd.DataFrame(rf_tuned.feature_importances_,\n",
        "                        columns = [\"Random Forest - Tuned\"], index = X_train.columns),\n",
        "           pd.DataFrame(rf_tuned.feature_importances_,\n",
        "                        columns = [\"Stacking - Tuned\"], index = X_train.columns)],\n",
        "           axis=1).sort_values(by = 'XGB - Tuned', ascending = False).style\\\n",
        "          .set_table_styles([dict(selector=\"th\", \n",
        "                                  props=[('min-width', '100px'), \n",
        "                                         ('text-align', 'right')])])\\\n",
        "          .highlight_max(color = 'lightgreen', axis = 0).format('{:.2%}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 708
        },
        "id": "vJv__THAS9jk",
        "outputId": "a0334c01-ebb7-46ae-d67f-dd1e3ef1bd6e"
      },
      "id": "vJv__THAS9jk",
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd68a46eca0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_befe0 th {\n",
              "  min-width: 100px;\n",
              "  text-align: right;\n",
              "}\n",
              "#T_befe0_row0_col0, #T_befe0_row0_col1, #T_befe0_row0_col2 {\n",
              "  background-color: lightgreen;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_befe0\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_befe0_level0_col0\" class=\"col_heading level0 col0\" >XGB - Tuned</th>\n",
              "      <th id=\"T_befe0_level0_col1\" class=\"col_heading level0 col1\" >Random Forest - Tuned</th>\n",
              "      <th id=\"T_befe0_level0_col2\" class=\"col_heading level0 col2\" >Stacking - Tuned</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row0\" class=\"row_heading level0 row0\" >education_of_employee_High School</th>\n",
              "      <td id=\"T_befe0_row0_col0\" class=\"data row0 col0\" >49.33%</td>\n",
              "      <td id=\"T_befe0_row0_col1\" class=\"data row0 col1\" >22.56%</td>\n",
              "      <td id=\"T_befe0_row0_col2\" class=\"data row0 col2\" >22.56%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row1\" class=\"row_heading level0 row1\" >has_job_experience_Y</th>\n",
              "      <td id=\"T_befe0_row1_col0\" class=\"data row1 col0\" >10.49%</td>\n",
              "      <td id=\"T_befe0_row1_col1\" class=\"data row1 col1\" >12.43%</td>\n",
              "      <td id=\"T_befe0_row1_col2\" class=\"data row1 col2\" >12.43%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row2\" class=\"row_heading level0 row2\" >education_of_employee_Master's</th>\n",
              "      <td id=\"T_befe0_row2_col0\" class=\"data row2 col0\" >8.40%</td>\n",
              "      <td id=\"T_befe0_row2_col1\" class=\"data row2 col1\" >12.81%</td>\n",
              "      <td id=\"T_befe0_row2_col2\" class=\"data row2 col2\" >12.81%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row3\" class=\"row_heading level0 row3\" >education_of_employee_Doctorate</th>\n",
              "      <td id=\"T_befe0_row3_col0\" class=\"data row3 col0\" >4.98%</td>\n",
              "      <td id=\"T_befe0_row3_col1\" class=\"data row3 col1\" >6.17%</td>\n",
              "      <td id=\"T_befe0_row3_col2\" class=\"data row3 col2\" >6.17%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row4\" class=\"row_heading level0 row4\" >unit_of_wage_Year</th>\n",
              "      <td id=\"T_befe0_row4_col0\" class=\"data row4 col0\" >4.19%</td>\n",
              "      <td id=\"T_befe0_row4_col1\" class=\"data row4 col1\" >5.59%</td>\n",
              "      <td id=\"T_befe0_row4_col2\" class=\"data row4 col2\" >5.59%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row5\" class=\"row_heading level0 row5\" >prevailing_wage</th>\n",
              "      <td id=\"T_befe0_row5_col0\" class=\"data row5 col0\" >3.59%</td>\n",
              "      <td id=\"T_befe0_row5_col1\" class=\"data row5 col1\" >14.81%</td>\n",
              "      <td id=\"T_befe0_row5_col2\" class=\"data row5 col2\" >14.81%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row6\" class=\"row_heading level0 row6\" >continent_Europe</th>\n",
              "      <td id=\"T_befe0_row6_col0\" class=\"data row6 col0\" >3.19%</td>\n",
              "      <td id=\"T_befe0_row6_col1\" class=\"data row6 col1\" >4.21%</td>\n",
              "      <td id=\"T_befe0_row6_col2\" class=\"data row6 col2\" >4.21%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row7\" class=\"row_heading level0 row7\" >region_of_employment_Midwest</th>\n",
              "      <td id=\"T_befe0_row7_col0\" class=\"data row7 col0\" >2.54%</td>\n",
              "      <td id=\"T_befe0_row7_col1\" class=\"data row7 col1\" >2.57%</td>\n",
              "      <td id=\"T_befe0_row7_col2\" class=\"data row7 col2\" >2.57%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row8\" class=\"row_heading level0 row8\" >region_of_employment_South</th>\n",
              "      <td id=\"T_befe0_row8_col0\" class=\"data row8 col0\" >2.32%</td>\n",
              "      <td id=\"T_befe0_row8_col1\" class=\"data row8 col1\" >1.34%</td>\n",
              "      <td id=\"T_befe0_row8_col2\" class=\"data row8 col2\" >1.34%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row9\" class=\"row_heading level0 row9\" >region_of_employment_West</th>\n",
              "      <td id=\"T_befe0_row9_col0\" class=\"data row9 col0\" >1.69%</td>\n",
              "      <td id=\"T_befe0_row9_col1\" class=\"data row9 col1\" >1.79%</td>\n",
              "      <td id=\"T_befe0_row9_col2\" class=\"data row9 col2\" >1.79%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row10\" class=\"row_heading level0 row10\" >region_of_employment_Northeast</th>\n",
              "      <td id=\"T_befe0_row10_col0\" class=\"data row10 col0\" >1.65%</td>\n",
              "      <td id=\"T_befe0_row10_col1\" class=\"data row10 col1\" >1.32%</td>\n",
              "      <td id=\"T_befe0_row10_col2\" class=\"data row10 col2\" >1.32%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row11\" class=\"row_heading level0 row11\" >continent_North America</th>\n",
              "      <td id=\"T_befe0_row11_col0\" class=\"data row11 col0\" >1.65%</td>\n",
              "      <td id=\"T_befe0_row11_col1\" class=\"data row11 col1\" >1.51%</td>\n",
              "      <td id=\"T_befe0_row11_col2\" class=\"data row11 col2\" >1.51%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row12\" class=\"row_heading level0 row12\" >unit_of_wage_Week</th>\n",
              "      <td id=\"T_befe0_row12_col0\" class=\"data row12 col0\" >1.03%</td>\n",
              "      <td id=\"T_befe0_row12_col1\" class=\"data row12 col1\" >0.22%</td>\n",
              "      <td id=\"T_befe0_row12_col2\" class=\"data row12 col2\" >0.22%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row13\" class=\"row_heading level0 row13\" >full_time_position_Y</th>\n",
              "      <td id=\"T_befe0_row13_col0\" class=\"data row13 col0\" >0.97%</td>\n",
              "      <td id=\"T_befe0_row13_col1\" class=\"data row13 col1\" >1.18%</td>\n",
              "      <td id=\"T_befe0_row13_col2\" class=\"data row13 col2\" >1.18%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row14\" class=\"row_heading level0 row14\" >continent_Asia</th>\n",
              "      <td id=\"T_befe0_row14_col0\" class=\"data row14 col0\" >0.89%</td>\n",
              "      <td id=\"T_befe0_row14_col1\" class=\"data row14 col1\" >1.67%</td>\n",
              "      <td id=\"T_befe0_row14_col2\" class=\"data row14 col2\" >1.67%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row15\" class=\"row_heading level0 row15\" >continent_South America</th>\n",
              "      <td id=\"T_befe0_row15_col0\" class=\"data row15 col0\" >0.81%</td>\n",
              "      <td id=\"T_befe0_row15_col1\" class=\"data row15 col1\" >0.68%</td>\n",
              "      <td id=\"T_befe0_row15_col2\" class=\"data row15 col2\" >0.68%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row16\" class=\"row_heading level0 row16\" >unit_of_wage_Month</th>\n",
              "      <td id=\"T_befe0_row16_col0\" class=\"data row16 col0\" >0.55%</td>\n",
              "      <td id=\"T_befe0_row16_col1\" class=\"data row16 col1\" >0.06%</td>\n",
              "      <td id=\"T_befe0_row16_col2\" class=\"data row16 col2\" >0.06%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row17\" class=\"row_heading level0 row17\" >continent_Oceania</th>\n",
              "      <td id=\"T_befe0_row17_col0\" class=\"data row17 col0\" >0.51%</td>\n",
              "      <td id=\"T_befe0_row17_col1\" class=\"data row17 col1\" >0.11%</td>\n",
              "      <td id=\"T_befe0_row17_col2\" class=\"data row17 col2\" >0.11%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row18\" class=\"row_heading level0 row18\" >requires_job_training_Y</th>\n",
              "      <td id=\"T_befe0_row18_col0\" class=\"data row18 col0\" >0.50%</td>\n",
              "      <td id=\"T_befe0_row18_col1\" class=\"data row18 col1\" >0.69%</td>\n",
              "      <td id=\"T_befe0_row18_col2\" class=\"data row18 col2\" >0.69%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row19\" class=\"row_heading level0 row19\" >no_of_employees</th>\n",
              "      <td id=\"T_befe0_row19_col0\" class=\"data row19 col0\" >0.40%</td>\n",
              "      <td id=\"T_befe0_row19_col1\" class=\"data row19 col1\" >4.48%</td>\n",
              "      <td id=\"T_befe0_row19_col2\" class=\"data row19 col2\" >4.48%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_befe0_level0_row20\" class=\"row_heading level0 row20\" >yr_of_estab</th>\n",
              "      <td id=\"T_befe0_row20_col0\" class=\"data row20 col0\" >0.33%</td>\n",
              "      <td id=\"T_befe0_row20_col1\" class=\"data row20 col1\" >3.78%</td>\n",
              "      <td id=\"T_befe0_row20_col2\" class=\"data row20 col2\" >3.78%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 101
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "feature_names = X_train.columns\n",
        "importances = xgb_tuned.feature_importances_\n",
        "indices = np.argsort(importances)\n",
        "\n",
        "plt.figure(figsize=(12,12))\n",
        "plt.title('Feature Importances')\n",
        "plt.barh(range(len(indices)),\n",
        "         importances[indices], color='violet', \n",
        "         align='center')\n",
        "plt.yticks(range(len(indices)), [feature_names[i] for i in indices])\n",
        "plt.xlabel('Relative Importance')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "B8_hlj3yQGYJ",
        "outputId": "4b6062f1-b438-4aab-e38e-db52c885a579"
      },
      "id": "B8_hlj3yQGYJ",
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1200 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Let's visualize the tuned decision tree to better understand how variables impact the results. This will allow us to visually explore the decision-making process of the model and confirm which features are most important in making predictions.**"
      ],
      "metadata": {
        "id": "Ygzcb_XORQTd"
      },
      "id": "Ygzcb_XORQTd"
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(20, 10))\n",
        "\n",
        "out = tree.plot_tree(\n",
        "    dtree_tuned,\n",
        "    feature_names=feature_names,\n",
        "    filled=True,\n",
        "    fontsize=9,\n",
        "    node_ids=False,\n",
        "    class_names=None,\n",
        ")\n",
        "for o in out:\n",
        "    arrow = o.arrow_patch\n",
        "    if arrow is not None:\n",
        "        arrow.set_edgecolor(\"black\")\n",
        "        arrow.set_linewidth(1)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 807
        },
        "id": "XQ1Z9u8dMyT5",
        "outputId": "442ee1e5-11fc-44c0-e139-22ebd51c6b67"
      },
      "id": "XQ1Z9u8dMyT5",
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**We can interpret the impact of individual variables on the predicted outcome by building a logistic regression model. This will provide coefficients for each input variable, helping us understand which variables are most important for predictions. We can then compare these coefficients with the decision tree visualization to better interpret the decision-making process of both models.**"
      ],
      "metadata": {
        "id": "ZUcx0QWxSaHl"
      },
      "id": "ZUcx0QWxSaHl"
    },
    {
      "cell_type": "code",
      "source": [
        "lr = sm.Logit(y_train, X_train).fit()\n",
        "print(lr.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "36gCQ0jjOCr5",
        "outputId": "8e9c2721-0fbc-4ad4-966c-d359d1ad3b0d"
      },
      "id": "36gCQ0jjOCr5",
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Optimization terminated successfully.\n",
            "         Current function value: 0.535258\n",
            "         Iterations 6\n",
            "                           Logit Regression Results                           \n",
            "==============================================================================\n",
            "Dep. Variable:            case_status   No. Observations:                17812\n",
            "Model:                          Logit   Df Residuals:                    17791\n",
            "Method:                           MLE   Df Model:                           20\n",
            "Date:                Sat, 15 Apr 2023   Pseudo R-squ.:                  0.1578\n",
            "Time:                        07:36:50   Log-Likelihood:                -9534.0\n",
            "converged:                       True   LL-Null:                       -11320.\n",
            "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
            "=====================================================================================================\n",
            "                                        coef    std err          z      P>|z|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------------------------\n",
            "no_of_employees                   -1.961e-07    7.4e-07     -0.265      0.791   -1.65e-06    1.25e-06\n",
            "yr_of_estab                          -0.0007      0.000     -7.260      0.000      -0.001      -0.001\n",
            "prevailing_wage                    2.942e-07    3.9e-07      0.755      0.450    -4.7e-07    1.06e-06\n",
            "continent_Asia                       -0.1064      0.125     -0.854      0.393      -0.351       0.138\n",
            "continent_Europe                      0.6114      0.134      4.563      0.000       0.349       0.874\n",
            "continent_North America              -0.1915      0.132     -1.452      0.147      -0.450       0.067\n",
            "continent_Oceania                    -0.2935      0.237     -1.236      0.216      -0.759       0.172\n",
            "continent_South America              -0.2890      0.155     -1.865      0.062      -0.593       0.015\n",
            "education_of_employee_Doctorate       1.3984      0.085     16.436      0.000       1.232       1.565\n",
            "education_of_employee_High School    -1.3000      0.053    -24.594      0.000      -1.404      -1.196\n",
            "education_of_employee_Master's        0.8675      0.041     20.915      0.000       0.786       0.949\n",
            "has_job_experience_Y                  0.8855      0.037     24.164      0.000       0.814       0.957\n",
            "requires_job_training_Y               0.1149      0.058      1.992      0.046       0.002       0.228\n",
            "region_of_employment_Midwest          0.7940      0.146      5.424      0.000       0.507       1.081\n",
            "region_of_employment_Northeast        0.0517      0.142      0.363      0.716      -0.227       0.331\n",
            "region_of_employment_South            0.4395      0.143      3.079      0.002       0.160       0.719\n",
            "region_of_employment_West            -0.1192      0.143     -0.835      0.404      -0.399       0.161\n",
            "unit_of_wage_Month                    0.6736      0.304      2.219      0.026       0.079       1.269\n",
            "unit_of_wage_Week                     0.8563      0.179      4.796      0.000       0.506       1.206\n",
            "unit_of_wage_Year                     1.1699      0.071     16.533      0.000       1.031       1.309\n",
            "full_time_position_Y                  0.2379      0.060      3.991      0.000       0.121       0.355\n",
            "=====================================================================================================\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# converting coefficients to odds\n",
        "odds = np.exp(lr.params)\n",
        "\n",
        "# finding the percentage change\n",
        "perc_change_odds = (np.exp(lr.params) - 1) * 100\n",
        "\n",
        "# adding the odds to a dataframe\n",
        "pd.DataFrame({\"Odds\": odds, \"Change_odd%\": perc_change_odds}, index=X_train.columns).loc[[\"education_of_employee_High School\",  \n",
        "                                                                                          \"prevailing_wage\",\n",
        "                                                                                          \"education_of_employee_Master's\",\n",
        "                                                                                          \"has_job_experience_Y\",\n",
        "                                                                                          \"education_of_employee_Doctorate\",\n",
        "                                                                                          \"unit_of_wage_Year\"\n",
        "                                                                                          ]]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "tibFqL9lQZte",
        "outputId": "ebcba94e-dc01-4fc5-9435-9f5ae78d5d8e"
      },
      "id": "tibFqL9lQZte",
      "execution_count": 105,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                       Odds  Change_odd%\n",
              "education_of_employee_High School  0.272523   -72.747705\n",
              "prevailing_wage                    1.000000     0.000029\n",
              "education_of_employee_Master's     2.380927   138.092708\n",
              "has_job_experience_Y               2.424200   142.419997\n",
              "education_of_employee_Doctorate    4.048728   304.872752\n",
              "unit_of_wage_Year                  3.221548   222.154839"
            ],
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              "      <th>education_of_employee_High School</th>\n",
              "      <td>0.272523</td>\n",
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          },
          "metadata": {},
          "execution_count": 105
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* `education_of_employee_High School`: Holding all other variables constant, the odds of a visa being certified for an employee with a high school education are about **72.7%** lower compared to employees with a Bachelor's degree, assuming a linear relationship between `prevailing_wage` and the log odds of visa certification `case_status`.\n",
        "\n",
        "* `education_of_employee_Master's`: Holding all other variables constant, the odds of a visa being certified for an employee with a Master's degree are about *138%* higher compared to employees with a Bachelor's degree.\n",
        "\n",
        "* `prevailing_wage`: Holding all other features constant, each 100,000 units increase in `prevailing_wage` will increase the odds that the visa will be certified by approximately **2.9%**\n",
        "\n",
        "* `has_job_experience_Y`: Holding all other variables constant, the odds of a visa being certified for an employee with job experience are about **142.4%** higher compared to the employees with no job experience.\n",
        "\n",
        "<br>**NB:** *The linear relationship between the explanatory variable and the Logit of the response variable has not been verified! The interpretation of the model may not be accurate. Therefore, it should be used only as a tool to understand the direction of the variable's impact, rather than as a precise predictor of the response.*"
      ],
      "metadata": {
        "id": "N9eZ1UvTUBJG"
      },
      "id": "N9eZ1UvTUBJG"
    },
    {
      "cell_type": "markdown",
      "id": "nasty-retailer",
      "metadata": {
        "id": "nasty-retailer"
      },
      "source": [
        "## Actionable Insights and Recommendations"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "> After analyzing the data and evaluating the performance of various machine learning models, here are some actionable insights and recommendations to improve the visa approval process and make data-driven decisions:\n",
        "\n",
        "* **Key features identification**. Based on feature importance analysis from the top-performing models, we determined the most significant factors that influence visa approvals. These factors include:\n",
        "  * Employee has **High School** or **Masters education**\n",
        "  * Employee has **job experience**\n",
        "  * Level of **prevailing wage** (for some models)\n",
        "\n",
        "* **Focus on high-performing models**. We recommend to utilize the top-performing models, such as:\n",
        "  * **XGB - Tuned**,\n",
        "  * **Random Forest - Tuned**, and\n",
        "  * **Stacking - Tuned**,<br>\n",
        "  for the visa approval process. These models demonstrate a good balance between precision and recall, minimizing both false negatives and false positives.\n",
        "\n",
        "* **Be up-to-date**. We recommend continuously monitor and update the model. As new data becomes available, update and retrain the selected model to maintain its accuracy and relevance to current trends. This will ensure that the model stays robust and effective in predicting visa approvals."
      ],
      "metadata": {
        "id": "2EzEQ2hcVOHr"
      },
      "id": "2EzEQ2hcVOHr"
    },
    {
      "cell_type": "markdown",
      "source": [
        "> Recommended **profile for the applicants** for whom the visa should be certified or denied based on the drivers that significantly influence the case status.\n",
        "\n",
        "* Based on the analysis, the profile of applicants for whom the visa status is more likely to be **approved** is as follows:\n",
        "  * Applicants with at least a Bachelor's degree have higher odds of visa approval, with those holding Master's and Doctorate degrees being preferred.\n",
        "  * Applicants with job experience have higher odds of visa approval compared to those without job experience.\n",
        "  * It is likely that applicants with a prevailing wage around 72,500 (see EDA above) may have higher odds of visa approval.\n",
        "\n",
        "* The profile of applicants more likely to have their visa **denied** is as follows:\n",
        "  * Applicants with lower education levels, such as a high school diploma, have lower odds of visa approval compared to those with higher education levels, like Bachelor's, Master's, or Doctorate degrees.\n",
        "  * Applicants without job experience have lower odds of visa approval compared to those with job experience.\n",
        "  * Applicants with a prevailing wage around 65,500, which is lower than the median prevailing wage of approved visas (around 72,500), may have lower odds of visa approval."
      ],
      "metadata": {
        "id": "HRICr8quePWJ"
      },
      "id": "HRICr8quePWJ"
    },
    {
      "cell_type": "code",
      "source": [
        "#!jupyter nbconvert --to html /content/project_5_at.ipynb"
      ],
      "metadata": {
        "id": "BC0vjvADVUus"
      },
      "id": "BC0vjvADVUus",
      "execution_count": 97,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "R4JFo2i8mPRw"
      },
      "id": "R4JFo2i8mPRw",
      "execution_count": 97,
      "outputs": []
    }
  ],
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}