health_insurance_cross_sell_prediction_ANTSPA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "C-_t2lBQvESK"
   },
   "source": [
    "# Cross-selling insurance opportunity prediction\n",
    "\n",
    "The client is an insurance company that has provided health insurance to its customers. They now need your help to build a predictive model that can predict whether last year's policyholders may be interested in purchasing insurance for their vehicle as well.\n",
    "\n",
    "The dataset consists of the following properties:\n",
    "\n",
    "- **id**: unique identifier of the policyholder.\n",
    "- **Gender**: gender of the policyholder.\n",
    "- **Age**: age of the policyholder. \n",
    "- **Driving_License**: 1 if the policyholder has a driving license, 0 otherwise.\n",
    "- **Region_Code**: unique code for the policyholder's region.\n",
    "- **Previously_Insured**: 1 if the policyholder already has a vehicle insured, 0 otherwise.\n",
    "- **Vehicle_Age**: age of the vehicle.\n",
    "- **Vehicle_Damage**: 1 if the policyholder has damaged the vehicle in the past, 0 otherwise.\n",
    "- **Annual_Premium**: the amount that the policyholder must pay as a premium during the year.\n",
    "- **Policy_Sales_Channel**: anonymized code of the channel used for the proposal (e.g. by email, by phone, in person, etc...)\n",
    "- **Vintage**: number of days the policyholder has been a customer of the company.\n",
    "- **Response**: 1 if the policyholder responded positively to the sales proposal, 0 otherwise.\n",
    "The purpose of the model is to predict the value of Response.\n",
    "\n",
    "Tip: Pay attention to the distribution of the classes. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### IMPORT LIBRARIES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set()\n",
    "plt.rcParams['figure.figsize'] = (10,8)\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score\n",
    "from sklearn.metrics import RocCurveDisplay\n",
    "from sklearn.metrics import roc_auc_score\n",
    "from imblearn.under_sampling import RandomUnderSampler\n",
    "from imblearn.over_sampling import RandomOverSampler\n",
    "import warnings\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### IMPORT DATASET"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"train.csv\", index_col=\"id\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Driving_License</th>\n",
       "      <th>Region_Code</th>\n",
       "      <th>Previously_Insured</th>\n",
       "      <th>Vehicle_Age</th>\n",
       "      <th>Vehicle_Damage</th>\n",
       "      <th>Annual_Premium</th>\n",
       "      <th>Policy_Sales_Channel</th>\n",
       "      <th>Vintage</th>\n",
       "      <th>Response</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Male</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0</td>\n",
       "      <td>&gt; 2 Years</td>\n",
       "      <td>Yes</td>\n",
       "      <td>40454.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Male</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1-2 Year</td>\n",
       "      <td>No</td>\n",
       "      <td>33536.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>183</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Male</td>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0</td>\n",
       "      <td>&gt; 2 Years</td>\n",
       "      <td>Yes</td>\n",
       "      <td>38294.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Male</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1</td>\n",
       "      <td>&lt; 1 Year</td>\n",
       "      <td>No</td>\n",
       "      <td>28619.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>203</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Female</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>41.0</td>\n",
       "      <td>1</td>\n",
       "      <td>&lt; 1 Year</td>\n",
       "      <td>No</td>\n",
       "      <td>27496.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Gender  Age  Driving_License  Region_Code  Previously_Insured Vehicle_Age  \\\n",
       "id                                                                              \n",
       "1     Male   44                1         28.0                   0   > 2 Years   \n",
       "2     Male   76                1          3.0                   0    1-2 Year   \n",
       "3     Male   47                1         28.0                   0   > 2 Years   \n",
       "4     Male   21                1         11.0                   1    < 1 Year   \n",
       "5   Female   29                1         41.0                   1    < 1 Year   \n",
       "\n",
       "   Vehicle_Damage  Annual_Premium  Policy_Sales_Channel  Vintage  Response  \n",
       "id                                                                          \n",
       "1             Yes         40454.0                  26.0      217         1  \n",
       "2              No         33536.0                  26.0      183         0  \n",
       "3             Yes         38294.0                  26.0       27         1  \n",
       "4              No         28619.0                 152.0      203         0  \n",
       "5              No         27496.0                 152.0       39         0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(381109, 11)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 381109 entries, 1 to 381109\n",
      "Data columns (total 11 columns):\n",
      " #   Column                Non-Null Count   Dtype  \n",
      "---  ------                --------------   -----  \n",
      " 0   Gender                381109 non-null  object \n",
      " 1   Age                   381109 non-null  int64  \n",
      " 2   Driving_License       381109 non-null  int64  \n",
      " 3   Region_Code           381109 non-null  float64\n",
      " 4   Previously_Insured    381109 non-null  int64  \n",
      " 5   Vehicle_Age           381109 non-null  object \n",
      " 6   Vehicle_Damage        381109 non-null  object \n",
      " 7   Annual_Premium        381109 non-null  float64\n",
      " 8   Policy_Sales_Channel  381109 non-null  float64\n",
      " 9   Vintage               381109 non-null  int64  \n",
      " 10  Response              381109 non-null  int64  \n",
      "dtypes: float64(3), int64(5), object(3)\n",
      "memory usage: 34.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### CHECK FOR MISSING VALUES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum().sum()\n",
    "#dataset has no missing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Gender', 'Age', 'Driving_License', 'Region_Code', 'Previously_Insured',\n",
       "       'Vehicle_Age', 'Vehicle_Damage', 'Annual_Premium',\n",
       "       'Policy_Sales_Channel', 'Vintage', 'Response'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### DESCRIPTIVE STATISTICS "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Driving_License</th>\n",
       "      <th>Region_Code</th>\n",
       "      <th>Previously_Insured</th>\n",
       "      <th>Annual_Premium</th>\n",
       "      <th>Policy_Sales_Channel</th>\n",
       "      <th>Vintage</th>\n",
       "      <th>Response</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>381109.000000</td>\n",
       "      <td>381109.000000</td>\n",
       "      <td>381109.000000</td>\n",
       "      <td>381109.000000</td>\n",
       "      <td>381109.000000</td>\n",
       "      <td>381109.000000</td>\n",
       "      <td>381109.000000</td>\n",
       "      <td>381109.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>38.822584</td>\n",
       "      <td>0.997869</td>\n",
       "      <td>26.388807</td>\n",
       "      <td>0.458210</td>\n",
       "      <td>30564.389581</td>\n",
       "      <td>112.034295</td>\n",
       "      <td>154.347397</td>\n",
       "      <td>0.122563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>15.511611</td>\n",
       "      <td>0.046110</td>\n",
       "      <td>13.229888</td>\n",
       "      <td>0.498251</td>\n",
       "      <td>17213.155057</td>\n",
       "      <td>54.203995</td>\n",
       "      <td>83.671304</td>\n",
       "      <td>0.327936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2630.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>25.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>24405.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>36.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>31669.000000</td>\n",
       "      <td>133.000000</td>\n",
       "      <td>154.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>49.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>39400.000000</td>\n",
       "      <td>152.000000</td>\n",
       "      <td>227.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>85.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>540165.000000</td>\n",
       "      <td>163.000000</td>\n",
       "      <td>299.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Age  Driving_License    Region_Code  Previously_Insured  \\\n",
       "count  381109.000000    381109.000000  381109.000000       381109.000000   \n",
       "mean       38.822584         0.997869      26.388807            0.458210   \n",
       "std        15.511611         0.046110      13.229888            0.498251   \n",
       "min        20.000000         0.000000       0.000000            0.000000   \n",
       "25%        25.000000         1.000000      15.000000            0.000000   \n",
       "50%        36.000000         1.000000      28.000000            0.000000   \n",
       "75%        49.000000         1.000000      35.000000            1.000000   \n",
       "max        85.000000         1.000000      52.000000            1.000000   \n",
       "\n",
       "       Annual_Premium  Policy_Sales_Channel        Vintage       Response  \n",
       "count   381109.000000         381109.000000  381109.000000  381109.000000  \n",
       "mean     30564.389581            112.034295     154.347397       0.122563  \n",
       "std      17213.155057             54.203995      83.671304       0.327936  \n",
       "min       2630.000000              1.000000      10.000000       0.000000  \n",
       "25%      24405.000000             29.000000      82.000000       0.000000  \n",
       "50%      31669.000000            133.000000     154.000000       0.000000  \n",
       "75%      39400.000000            152.000000     227.000000       0.000000  \n",
       "max     540165.000000            163.000000     299.000000       1.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Vehicle_Age</th>\n",
       "      <th>Vehicle_Damage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>381109</td>\n",
       "      <td>381109</td>\n",
       "      <td>381109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Male</td>\n",
       "      <td>1-2 Year</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>206089</td>\n",
       "      <td>200316</td>\n",
       "      <td>192413</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Gender Vehicle_Age Vehicle_Damage\n",
       "count   381109      381109         381109\n",
       "unique       2           3              2\n",
       "top       Male    1-2 Year            Yes\n",
       "freq    206089      200316         192413"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include=['object'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### EXPLORATORY DATA ANALYSIS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Response\n",
       "0    0.88\n",
       "1    0.12\n",
       "Name: proportion, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Response.value_counts(normalize=True).round(2)\n",
    "#the dataset is unbalanced. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Gender\n",
       "Male      0.54\n",
       "Female    0.46\n",
       "Name: proportion, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Gender.value_counts(normalize=True).round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Response  Gender\n",
       "0         Male      0.53\n",
       "          Female    0.47\n",
       "1         Male      0.61\n",
       "          Female    0.39\n",
       "Name: proportion, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['Response'])['Gender'].value_counts(normalize=True).round(2)\n",
    "#Gender and Response correlation. Ratio for both positive and negative response is almost equal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Vehicle_Damage  Gender\n",
       "No              Female    0.51\n",
       "                Male      0.49\n",
       "Yes             Male      0.59\n",
       "                Female    0.41\n",
       "Name: proportion, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['Vehicle_Damage'])['Gender'].value_counts(normalize=True).round(2)\n",
    "#Male tends to have more vehicle damage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Vehicle_Damage  Response\n",
       "No              0           0.99\n",
       "                1           0.01\n",
       "Yes             0           0.76\n",
       "                1           0.24\n",
       "Name: proportion, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['Vehicle_Damage'])['Response'].value_counts(normalize=True).round(2)\n",
    "#Owners of damaged vehicles tend to respond positively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Vehicle_Age  Response\n",
       "1-2 Year     0           0.83\n",
       "             1           0.17\n",
       "< 1 Year     0           0.96\n",
       "             1           0.04\n",
       "> 2 Years    0           0.71\n",
       "             1           0.29\n",
       "Name: proportion, dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['Vehicle_Age'])['Response'].value_counts(normalize=True).round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Response  Previously_Insured\n",
       "0         1                     0.52\n",
       "          0                     0.48\n",
       "1         0                     1.00\n",
       "          1                     0.00\n",
       "Name: proportion, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Response')['Previously_Insured'].value_counts(normalize=True).round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "graph1 = sns.FacetGrid(df, hue='Response', height = 7, aspect = 2)\n",
    "graph1.map(sns.kdeplot, 'Age')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "#Younger people are less interested in insurance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "graph2 = sns.FacetGrid(df, hue='Vehicle_Age', height = 7, aspect = 2)\n",
    "graph2.map(sns.kdeplot, 'Age')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2400x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "graph3 = sns.FacetGrid(df, col='Vehicle_Age', hue='Response', height = 4, aspect = 2)\n",
    "graph3.map(sns.kdeplot, 'Age')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Conversion of categorical data into numerical data\n",
    "df.Gender.replace({'Male':1,'Female':2}, inplace=True)\n",
    "df.Vehicle_Damage.replace({'Yes':1,'No':0}, inplace=True)\n",
    "df.Vehicle_Age.replace({'< 1 Year':1,'1-2 Year':2,'> 2 Years':3}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 381109 entries, 1 to 381109\n",
      "Data columns (total 11 columns):\n",
      " #   Column                Non-Null Count   Dtype  \n",
      "---  ------                --------------   -----  \n",
      " 0   Gender                381109 non-null  int64  \n",
      " 1   Age                   381109 non-null  int64  \n",
      " 2   Driving_License       381109 non-null  int64  \n",
      " 3   Region_Code           381109 non-null  float64\n",
      " 4   Previously_Insured    381109 non-null  int64  \n",
      " 5   Vehicle_Age           381109 non-null  int64  \n",
      " 6   Vehicle_Damage        381109 non-null  int64  \n",
      " 7   Annual_Premium        381109 non-null  float64\n",
      " 8   Policy_Sales_Channel  381109 non-null  float64\n",
      " 9   Vintage               381109 non-null  int64  \n",
      " 10  Response              381109 non-null  int64  \n",
      "dtypes: float64(3), int64(8)\n",
      "memory usage: 34.9 MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Correlation between variables\n",
    "sns.heatmap(df.corr(), annot = True)\n",
    "plt.title('Factors Rank')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### MODEL SELECTION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#The function generates a confusion matrix and plots a heatmap. \n",
    "def plot_confusion_matrix(y_true,y_pred, labels=[\"Negative\",\"Positive\"],show_precision_recall=True):\n",
    "    \n",
    "    cm=confusion_matrix(y_true,y_pred)\n",
    "    df_cm=pd.DataFrame(cm, \n",
    "                       index=labels,\n",
    "                       columns=[\"Predicted \" + labels[0],\"Predicted \" + labels[1]]\n",
    "                      )\n",
    "    plt.figure(figsize=(8, 6))\n",
    "    hm=sns.heatmap(df_cm/np.sum(cm), annot=True,fmt=\".2%\")\n",
    "    \n",
    "    if show_precision_recall:\n",
    "        plt.text(0,-0.1,f\"Precision: {cm[1][1]/(cm[1][1]+cm[0][1]):.4f}\")\n",
    "        plt.text(1,-0.1,f\"Recall: {cm[1][1]/(cm[1][1]+cm[1][0]):.4f}\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#initialise an empty dictionary in order to resume the evaluation metrics of different models\n",
    "analysis = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "#The aim of the function is to select the best classification model. \n",
    "#5 variants of the logistic regression model are tested: \n",
    "#1) LogR: basic version of the model; \n",
    "#2) LogR_ROS_minority: oversampling with sampling strategy: \"minority\" (randomly duplicates samples from the minority class and adds them to the train set); \n",
    "#3) LogR_balanced: class-weight \"balanced\" (different weights to both the majority and minority classes); \n",
    "#4) LogR_RUS_majority: undersampling with sampling strategy: \"majority\" (randomly delete examples in the majority class); \n",
    "#5) LogR_DROP: class-weight \"balanced\" and drop of two independent variables.\n",
    "#(Vintage: low correlation with target variable; Vehicle_Age: avoid multicollinearity)\n",
    "#Models are implemented to handle the unbalanced class and, as in the last case,\n",
    "#reduce the dimensionality of the dataset too.\n",
    "#The function divides the data into training and test sets, applies standardisation \n",
    "#and returns the main evaluation metrics in the form of a confusion matrix, ROC AUC score \n",
    "#and classification report. It also saves precision, recall, f1-score and accuracy for each \n",
    "#of the executed models in the empty dictionary (analysis)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def model_selection(df):\n",
    "    models = {\n",
    "        'LogR': LogisticRegression(),\n",
    "        'LogR_ROS_minority': LogisticRegression(),\n",
    "        'LogR_balanced': LogisticRegression(class_weight='balanced'),\n",
    "        'LogR_RUS_majority': LogisticRegression(),\n",
    "        'LogR_DROP': LogisticRegression()\n",
    "    }\n",
    "    X=df.drop(\"Response\",axis=1).values\n",
    "    y=df[\"Response\"].values\n",
    "    X_train1, X_test1, y_train1, y_test1=train_test_split(X,y,test_size=0.3, random_state=0)\n",
    "    ss=StandardScaler()\n",
    "    X_train1=ss.fit_transform(X_train1)\n",
    "    X_test1=ss.transform(X_test1)\n",
    "    for model_type, model in models.items():\n",
    "        if model_type == 'LogR_ROS_minority':\n",
    "            ros = RandomOverSampler(sampling_strategy=\"minority\", random_state=0)\n",
    "            X_train, y_train = ros.fit_resample(X_train1, y_train1)\n",
    "            X_test, y_test=X_test1, y_test1\n",
    "            model = LogisticRegression()\n",
    "        elif model_type == 'LogR_RUS_majority':\n",
    "            rus = RandomUnderSampler(sampling_strategy=\"majority\", random_state=0)\n",
    "            X_train, y_train = rus.fit_resample(X_train1, y_train1)\n",
    "            X_test, y_test=X_test1, y_test1\n",
    "            model = LogisticRegression()\n",
    "        elif model_type == 'LogR_DROP':\n",
    "            df_dropped = df.drop([\"Vintage\", 'Vehicle_Age'], axis=1)\n",
    "            X_train, X_test, y_train, y_test = train_test_split(\n",
    "                df_dropped.drop(\"Response\", axis=1).values, df_dropped[\"Response\"].values,\n",
    "                test_size=0.3, random_state=0)\n",
    "            ss = StandardScaler()\n",
    "            X_train = ss.fit_transform(X_train)\n",
    "            X_test = ss.transform(X_test)\n",
    "            model = LogisticRegression(class_weight='balanced')\n",
    "        else:\n",
    "            X_train, y_train = X_train1, y_train1\n",
    "            X_test, y_test = X_test1, y_test1\n",
    "         \n",
    "        \n",
    "        model.fit(X_train, y_train)\n",
    "        y_pred_train = model.predict(X_train)\n",
    "        y_pred_test = model.predict(X_test)\n",
    "        \n",
    "        print(f'{model_type} TRAIN')\n",
    "        plot_confusion_matrix(y_train, y_pred_train)\n",
    "        print(f'{model_type} TEST')\n",
    "        plot_confusion_matrix(y_test, y_pred_test)\n",
    "        y_pred_proba_train = model.predict_proba(X_train)[:,1]\n",
    "        y_pred_proba_test = model.predict_proba(X_test)[:,1]\n",
    "        print()\n",
    "        print(f'ROC AUC Score (TRAIN): {roc_auc_score(y_train, y_pred_proba_train).round(4)}')\n",
    "        print(f'ROC AUC Score (TEST): {roc_auc_score(y_test, y_pred_proba_test).round(4)}')\n",
    "        print()\n",
    "        print(f'Classification Report: {model_type} TRAIN')\n",
    "        print(classification_report(y_train, y_pred_train))\n",
    "        print(f'Classification Report: {model_type} TEST')\n",
    "        print(classification_report(y_test, y_pred_test))\n",
    "        \n",
    "        \n",
    "        target_names = ['negative', 'positive']\n",
    "        report = classification_report(y_test, y_pred_test, output_dict=True, target_names=target_names)\n",
    "        analysis[model_type] = (\n",
    "            report['positive']['precision'], report['positive']['recall'], \n",
    "            report['positive']['f1-score'], report['accuracy']\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LogR TRAIN\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LogR TEST\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "ROC AUC Score (TRAIN): 0.8319\n",
      "ROC AUC Score (TEST): 0.832\n",
      "\n",
      "Classification Report: LogR TRAIN\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.88      1.00      0.93    234158\n",
      "           1       0.36      0.00      0.00     32618\n",
      "\n",
      "    accuracy                           0.88    266776\n",
      "   macro avg       0.62      0.50      0.47    266776\n",
      "weighted avg       0.81      0.88      0.82    266776\n",
      "\n",
      "Classification Report: LogR TEST\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.88      1.00      0.93    100241\n",
      "           1       0.44      0.00      0.00     14092\n",
      "\n",
      "    accuracy                           0.88    114333\n",
      "   macro avg       0.66      0.50      0.47    114333\n",
      "weighted avg       0.82      0.88      0.82    114333\n",
      "\n",
      "LogR_ROS_minority TRAIN\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LogR_ROS_minority TEST\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "ROC AUC Score (TRAIN): 0.8324\n",
      "ROC AUC Score (TEST): 0.8322\n",
      "\n",
      "Classification Report: LogR_ROS_minority TRAIN\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.96      0.59      0.73    234158\n",
      "           1       0.71      0.98      0.82    234158\n",
      "\n",
      "    accuracy                           0.78    468316\n",
      "   macro avg       0.83      0.78      0.78    468316\n",
      "weighted avg       0.83      0.78      0.78    468316\n",
      "\n",
      "Classification Report: LogR_ROS_minority TEST\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      0.59      0.74    100241\n",
      "           1       0.25      0.98      0.40     14092\n",
      "\n",
      "    accuracy                           0.64    114333\n",
      "   macro avg       0.62      0.78      0.57    114333\n",
      "weighted avg       0.90      0.64      0.70    114333\n",
      "\n",
      "LogR_balanced TRAIN\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LogR_balanced TEST\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "ROC AUC Score (TRAIN): 0.832\n",
      "ROC AUC Score (TEST): 0.8322\n",
      "\n",
      "Classification Report: LogR_balanced TRAIN\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      0.59      0.74    234158\n",
      "           1       0.25      0.98      0.40     32618\n",
      "\n",
      "    accuracy                           0.64    266776\n",
      "   macro avg       0.62      0.78      0.57    266776\n",
      "weighted avg       0.90      0.64      0.70    266776\n",
      "\n",
      "Classification Report: LogR_balanced TEST\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      0.59      0.74    100241\n",
      "           1       0.25      0.98      0.40     14092\n",
      "\n",
      "    accuracy                           0.64    114333\n",
      "   macro avg       0.62      0.78      0.57    114333\n",
      "weighted avg       0.90      0.64      0.70    114333\n",
      "\n",
      "LogR_RUS_majority TRAIN\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LogR_RUS_majority TEST\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "ROC AUC Score (TRAIN): 0.8334\n",
      "ROC AUC Score (TEST): 0.8321\n",
      "\n",
      "Classification Report: LogR_RUS_majority TRAIN\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.96      0.59      0.73     32618\n",
      "           1       0.71      0.97      0.82     32618\n",
      "\n",
      "    accuracy                           0.78     65236\n",
      "   macro avg       0.83      0.78      0.78     65236\n",
      "weighted avg       0.83      0.78      0.78     65236\n",
      "\n",
      "Classification Report: LogR_RUS_majority TEST\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      0.59      0.74    100241\n",
      "           1       0.25      0.98      0.40     14092\n",
      "\n",
      "    accuracy                           0.64    114333\n",
      "   macro avg       0.62      0.78      0.57    114333\n",
      "weighted avg       0.90      0.64      0.70    114333\n",
      "\n",
      "LogR_DROP TRAIN\n"
     ]
    },
    {
     "data": {
      "image/png": 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HoqKitGvXLpUsWVLTp0/Xjz/+qJkzZ6pKlSpmpj+l53m+8MIL2rFjh6xWq022/Pz58zYZyX86fPiwrly5opdeesmm3tGjR1W0aFGbur/99ptiY2MTzLWTknavXr58OdE/fn19fZUpUyadOnXqyV40gDTFLlfLJkWFChV0//59GYahEiVKmI9Tp05p3rx5iomJUcmSJeXq6qotW7bYnLtkyRL1798/wRDKDz/8oEqVKumvv/6Ss7Oz/P399f777ytDhgy6evVqon2QlGAS9ffff6/Y2NhEg8en4e/vL09PT/34449mmWEY2rx5szksk5iYmBj16tVLR44c0YwZMxIEdlLcsNn777+vH374waZ848aNSp8+vTl8/mAO0983Qv3hhx/k7OysSpUqSYoLngMCAmSxWLRixQoCO5heeuklVa9eXd9995327NkjSSpVqpRcXV117do1m3vZ1dVV06ZN08WLF5U+fXoVKVIkwb28Y8cO9ezZU1evXtXvv/+uihUrql69emZgd+TIEd28efOJMuSPU61aNYWFhem3334zy27evKl9+/apWrVqDz1v7969Gjx4sDl3VYobcj516pQ5PeKBQ4cOKUeOHMqdO3eC6yTlXs2XL5+cnZ0TzC0+c+aMbt++bfPHKAD7k6Yzd0+jZs2aKl++vN58801zjsmhQ4c0Z84cVatWzRzy6dSpk5YsWSI3NzdVqlRJhw8f1hdffKGBAwcmWO1WpkwZWa1W9enTRz179lT69Om1adMm3bt3z2b7kQdefPFFtWjRQnPnzlVERIQqVqyo48ePa+7cuapYsaKqV6/+RK/pzz//TDA37+88PDwUEBCgefPmydXVVf7+/lqzZo2OHj2qJUuWmPWuXr2qq1evqmjRonJzc9Py5cu1f/9+tWnTRjlz5tSff/5pc93SpUurQoUKqlChgiZNmqTw8HAVKFBA27Zt07JlyzR06FAzS9m9e3d9//336t69u7p27apz585p+vTp5rUlafz48bpx44bGjBmj0NBQm/a8vLxsMnz473nnnXf0yiuvaPz48Vq3bp0yZ86s7t27a9asWQoNDVXFihXNOXoWi0V+fn6SpH79+ql3794aMGCAWrZsqZs3b2ratGmqXbu2ihQpopIlS2rTpk1asWKFChYsqMDAQC1YsEAWiyXJc1tDQ0N1+vRpPf/88w+dzlG+fHlVqFBBQ4YM0ZAhQ5QpUybNmTNH3t7eNhsQnz59WlFRUWZW7pVXXtEnn3yi/v37q1u3brpy5YomTZqkMmXKJJi3e+LEiYfeJ0m9Vzt37qyFCxdKilsxf/nyZc2dO1e5cuXSa6+9lqT3A0Aa9Qz21kuSR21ymtS6YWFhxoQJE4waNWoYxYoVM+rUqWNMmzbNiIiIMOtYrVZj4cKFRr169YzixYsbDRs2NJYvX24eHzZsmM1moAcPHjQCAgKMChUqGCVKlDBatmxp/PTTTw+tHxMTY8yfP9+oW7euUaxYMaN27doJ+vDPcwwj4WaqhmEYvr6+xrBhwx75XlitVmPevHlGzZo1jRIlShgtWrQwtm/fblNn9uzZNhuzvv7664avr+9DHw/cvXvX+OCDD4zatWsbxYsXNxo3bmysWrUqQR/27dtntG7d2ihevLhRvXp1Y+rUqUZ0dLRhGIYRGRlpFC1a9KFtJfXfHPbtcff3pEmTDF9fX2Px4sVm2RdffGE0btzYKFasmFGlShVj0KBBxqVLl2zO27Ztm/Hqq6+a/+998MEHRmhoqGEYhnHr1i1j4MCBRoUKFYzSpUsbL7/8srFkyRLjvffeM6pWrWrExMQ8dhPj3bt3J7gvE3P79m1j+PDhRrly5YwyZcoY3bt3N4KCghK8B/+87w8fPmy0b9/eKF26tFGjRg1j/Pjxxr179xJcv1GjRsaAAQMe2n5S7lWr1WosXrzYaNCggfnZNHLkSOPGjRuPfG0A0j6LYaTgTGIAAAA8Uw475w4AAOC/iOAOAADAgRDcAQAAOBCCOwAAAAdCcAcAAOBACO4AAAAcCMEdAACAAyG4AwAAcCAEdwAAAA6E4A4AAMCBENwBAAA4EII7AAAAB0JwBwAA4EAI7gAAABwIwR0AAIADIbgDAABwIAR3AAAADoTgDgAAwIEQ3AEAADgQgjsAAAAHQnAHAADgQAjuAAAAHIjLs+5AYqKvn3nWXQCQSiJG9XnWXQCQSrznb3pmbadm7OD6XIFUu3ZqIHMHAADgQNJk5g4AAOCJWGOfdQ/SDII7AABg/wzrs+5BmsGwLAAAgAMhcwcAAOyflczdA2TuAAAAHAiZOwAAYPcM5tyZyNwBAAA4EDJ3AADA/jHnzkTmDgAAwIGQuQMAAPaPOXcmgjsAAGD/+IYKE8OyAAAAqcRqtWr27NmqXr26SpUqpYCAAAUHBz+0/rp161S4cOEEj0ed809k7gAAgP1Lo8Oy8+fP18qVKzVx4kRlz55dU6ZMUY8ePfTdd9/Jzc0tQf0TJ06oQoUKmj59uk25j49PktskcwcAAJAKoqKitGjRIr311luqWbOm/Pz8NGPGDF27dk2bN29O9JyTJ0/Kz89PWbNmtXk4OzsnuV2COwAAYP+s1tR7JFNgYKDCwsJUqVIlsyxDhgwqWrSo9u3bl+g5J06c0IsvvpjsNiWGZQEAAB6pbt26jzy+ZcuWRMuvXr0qScqZM6dNebZs2XTlypUE9W/evKnr169r3759WrZsmW7fvq1SpUpp8ODBeuGFF5LcXzJ3AADA7hmGNdUeyRUeHi5JCebWubu7KzIyMkH9kydPSpKcnZ314YcfasaMGbp//75ef/11Xb9+PcntkrkDAAB4hIdl5h4nXbp0kuLm3j34WZIiIyPl4eGRoH6lSpW0d+9eZcyY0SybN2+eateurbVr16pnz55JapfMHQAAsH9pcM7dg+HYkJAQm/KQkBDlyJEj0XP+HthJkqenp/LkyaNr164luV2COwAAYP8Ma+o9ksnPz09eXl7as2ePWXb37l0dO3ZM5cqVS1D/yy+/VMWKFRUREWGWhYaG6ty5c0+0yILgDgAAIBW4ubmpQ4cOmjp1qrZs2aLAwEC9/fbbypEjh+rXr6/Y2Fj99ddfZjBXu3ZtGYahoUOH6tSpUzp8+LDeeust+fj4qEWLFklul+AOAADYP2ts6j2eQr9+/dSqVSuNHDlS7dq1k7OzsxYuXCg3NzdduXJF1apV08aNGyXFDeMuWbJEYWFhateunbp06SJvb28tXbrUZs7e41gMwzCeqtepIPr6mWfdBQCpJGJUn2fdBQCpxHv+pmfWdmTg9lS7trtfzVS7dmpgtSwAALB/afTrx54FhmUBAAAcCJk7AABg/55iyxJHQ+YOAADAgZC5AwAA9o85dyaCOwAAYP8YljUxLAsAAOBAyNwBAAC7ZxhPt9mwIyFzBwAA4EDI3AEAAPvHggoTmTsAAAAHQuYOAADYP1bLmsjcAQAAOBAydwAAwP4x585E5g4AAMCBkLkDAAD2z8o+dw8Q3AEAAPvHsKyJYVkAAAAHQuYOAADYP7ZCMZG5AwAAcCBk7gAAgP1jzp2JzB0AAIADIXMHAADsH3PuTGTuAAAAHAiZOwAAYP/I3JkI7gAAgN0zDL6h4gGGZQEAABwImTsAAGD/GJY1kbkDAABwIGTuAACA/WMTYxOZOwAAAAdC5g4AANg/5tyZyNwBAAA4EDJ3AADA/jHnzkRwBwAA7B/DsiaGZQEAABwImTsAAGD/GJY1kbkDAABwIGTuAACA/WPOnYnMHQAAgAMhcwcAAOwfmTsTmTsAAAAHQuYOAADYP1bLmgjuAACA/WNY1sSwLAAAgAMhcwcAAOwfw7ImMncAAAAOhMwdAACwf8y5M5G5AwAAcCBk7gAAgP1jzp2JzB0AAIADIXMHAADsH3PuTAR3AADA/hHcmRiWBQAAcCBk7gAAgP0zjGfdgzSDzB0AAIADIXMHAADsH3PuTGTuAAAAHAiZOwAAYP/I3JnI3AEAADgQMncAAMD+8fVjJoI7AABg/xiWNTEsCwAA4EDI3AEAAPvHJsamp8rc7du3TytXrlRoaKhOnz6t6OjolOoXAAAAkiFZmbvQ0FB1795df/75pywWi6pWraqpU6fq3Llz+vzzz5UjR46U7icAAMDDMefOlKzM3fTp0yVJmzdvVrp06SRJQ4cOlaenpyZPnpxyvQMAAMATSVZwt3XrVg0dOlR58+Y1ywoUKKDRo0dr165dKdY5AACAJLFaU+9hZ5IV3N28eVNZs2ZNUO7l5aXw8PCn7hQAAACSJ1nBXYkSJbRx48YE5UuXLlXRokWfulMAAABPxLCm3sPOJGtBxcCBA9W1a1f98ccfiomJ0YIFC3T69GkdO3ZMCxcuTOk+AgAAPJJhZSuUB5KVuStTpoxWrVqlDBkyKF++fPrzzz+VM2dOLV++XBUrVkzpPgIAACCJkpW52717typVqsTKWAAAkDbY4cKH1JKszF1AQIDq1Kmj2bNn6/z58yndJwAAACRTsrdCadu2rTZv3qwGDRro9ddf19dff63Q0NCU7h8AAMDjsaDClKzgLnv27OrZs6c2bNigtWvXqlSpUpo3b56qVaumwYMHp3QfAQAAkETJmnP3d0WKFFFsbKycnJy0cuVKbdu2LQW6BQAA8ARYLWtKVuZOki5cuKB58+apYcOGeu2113T06FGNGjVKO3bsSMn+AQAA2C2r1arZs2erevXqKlWqlAICAhQcHJykczds2KDChQvr4sWLT9RmsjJ3r732mg4fPqw8efKoWbNmatmypXLlypWcSwEAADy9NLpadv78+Vq5cqUmTpyo7Nmza8qUKerRo4e+++47ubm5PfS8S5cuacyYMclqM1nBXcGCBTV48GBVqFAhWY0CAACkqDQY3EVFRWnRokUaMmSIatasKUmaMWOGqlevrs2bN6tJkyaJnme1WjVkyBAVK1ZMu3fvfuJ2kzUsO3HiRAI7AACARwgMDFRYWJgqVapklmXIkEFFixbVvn37HnreRx99pOjoaL3xxhvJajfJmbsiRYpox44dypIli/z8/GSxWB5a9/jx48nqDAAAQLIYqbegom7duo88vmXLlkTLr169KknKmTOnTXm2bNl05cqVRM85dOiQFi1apNWrV+vatWvJ6O0TBHcTJkyQt7e3pLjMHQAAAB4uPDxckhLMrXN3d9edO3cS1L9//74GDx6swYMHK3/+/Kkf3LVo0cL82WKxqHHjxgk6e//+fX311VfJ6gjSnvCICFWs/6qs/5jH4ObmqgNbv5Uk7T1wSPMXLtPJoHNydXVV6eJFNKhPNz2f59ELbA4fO6Fp8z7T0ROn5enhoZcb1Fb/np1t/p8KPBmkWR9/riOBJ2W1Gipa+EW93TtARQu/aNb5eftOTZ37me6FhumVhnU1uG93OTs7m8cnz/5E98PD9f6w/inxlgCOw+Ikt/qvyrVKQ1kyZZE15JKifl6tmL1bzSqeQ2bI+QW/BKeGTX5b1nOBCS/pk01e45c8tMnoXT8pYtmMuCce6eXerItcSlWRxd1D1svnFPntEsWePGjWdylVRe6vdpclXXpF79miyLWf2Wwo6/5qD8ndQ5Ffzk7OOwBHk4pz7h6WmXucdOnSSYqbe/fgZ0mKjIyUh4dHgvrjx49X/vz51bZt2+R19P8lObi7efOmIiIiJEkjRoxQoUKFlDlzZps6x48f1/Tp09WlS5en6hTShpOnz8pqtWrymGHKnSO7We7kFDdV888jx9VzwDuqVa2SJo0aoojISH38+Up17D1Y65ctUOZMGRO97vmLl9VjwDsqXaKopo0doTPBFzT7kyUKDb2vMcP7m3U69xmiIoVf1Njhb8viZNGSFWvVqfdgfb14rl7Il0c3b93WiLFT1LFNCxXzK6QxH87WC/ny6rXmjSVJl65c0/qNm7Vu2YJUfqcA++PWrIvc6jRX1IZlij1/Si7Fysmjy1CFWw3F7N8mWSxyypVfUZu/VvQf/7M513rlXKLXNO7eUtjktxO2VfNluZStoej//RRXYHGSZ59xsvhkVeT6RTLu3pJb7eby6DNW9yf3l/XSOVm8MipdlyGK+mWdrOdPyf31frJeu6DoHZviLuGTTa6V6ytsXO+UfFuAFPVgODYkJETPP/+8WR4SEiI/v4R/OK1Zs0Zubm7y9/eXJMXGxkqSXn75Zb3yyisaO3ZsktpNcnD366+/avjw4bJYLDIMQ61atUpQxzAMczUI7F/gqTNydXVR/VrV5OqS8H+Vz5au0gv582r6+HfMgM+/RDHVa9lR6zduVtfXE/4/IkmLv1yt9J4emjNplFxdXVWjSgWlS+euCdMX6I0ubZUrR3Z98fU3cnd31/wpY+XpEffXTsWypfTSq5315epv9e6gN/XnkeNydnbWWz06yWKxaO+BQ9q9/w8zuJv98edq3ayRsmd9LpXeIcBOuaeTW62mivplvaI2fy1Jij3xp5yeLyS3Wq8oZv82OWXLLYt7OsUc2Zdoli5RMdEJ6jo9X0guZWvEZeWCjkqSXCrUllM+X92f1FfWS+ckSeGnDiv9u/PlXKSsrJfOyblAEckaq6gNSyVJzr4l5eznbwZ37q90UdRvm2TcuZECbwgcQhrcxNjPz09eXl7as2ePGdzdvXtXx44dU4cOHRLU/+mnn2yeHzx4UEOGDNEnn3yiggULJrndJAd3zZs3V+7cuWW1WtW5c2fNnj1bGTPGZ2YsFos8PT3l6+ub5MaRtgWeOqOC+Z9PNLCTpBJFC6tOjcpmYCdJWZ/zUXpPT124lPhEUUnaued31ahSUa6urmbZS7WqafzUedq553e1btZYBfLnVZd2r5qBnSR5pEun7Fmf04XLcde2yCI3V1dzcY+ri4tiY+PS8sdPntbOvQe0cdXC5L8BgKOKjtL9KQNl3L1lWx4bI6XzlCQ55Yn7RRJ78cxTNZWubR9Zr15Q9JZ1ZplL6aqKPXXYDOwkSTHRChvTw3xqGIaMmOi/HY+R/v+zxilPQTkXLaOI0d2eqm9AanNzc1OHDh00depU+fj4KHfu3JoyZYpy5Mih+vXrKzY2Vjdv3pS3t7fSpUunfPny2Zz/YEFGrly5lCVLliS3+0T73JUvX16StHTpUpUpU0YuD/mlD8dw4lSQnJyc1L3/Ozp45JhcXV3VoE51De7TXenTe+qNLu0SnLP394O6ey9UhQrkT/SaEZGRunw1RPmfz21T7pM5k7zSe+rchUuSpLYtXk5w7rnzF3X6TLAqlYtLVxf1e1H3wsL0y2+7VMyvkLb/b69avdJQkjRt3iIFtG+tDN5eT/MWAI7JapX10lnzqSVDZrlWri/nwqUV+eUsSZJTngIy7ocqXas35FKiouSeTrEnDipi9ccyQi4lqRmXcrXknL+w7s8YajNXzjlPAcUc2iXX2s3lVruZLJmzynrprCLXfKLYU4fjunj+tCzp0sulZCXFBp+Sc4kKit7xgyTJvUWAon76WgoPS6l3BI7ASHv73ElSv379FBMTo5EjRyoiIkLly5fXwoUL5ebmposXL6pu3bqaOHGiWrZsmWJtJis6q1ChggIDA3Xy5Elzsr1hGIqKitLBgwc1YcKEFOsgng2r1apTZ87JyclJb78ZoF5d2+nI8ZNasGi5gs6e1+fzJttk7CTp5q3bGv3hLGXP9pyaNaqX6HXv3Yv7ME7v6ZngWHpPD4WF3U/0vPCICL07fprc3d3UvnUzSVL2rM9p5KC+GjF2iiIiI1W/VjW1a/mydu75XWfPX9C8ye9r3fc/aemqdcqYwVvD+vVUEd8XE70+8F/lUr62PLoOlSTFHNmr6N9/lRQXgFk8vWSE3lH4x2NlyZJN7o3by3PQVN2f0EfGnZuPvbZbvVcVc/qoGbA9YPHOKBf/6jLuhypy3UIZUZFye6m1PPqO1/0pb8t68YyMOzcUuWqu0nUeIrm5K+aPHYr+9Ts5Fykjpxx5Fb3gfblUqi+3ui1khN1T5OpPZL0YlPJvEPCUnJ2dNWTIEA0ZMiTBsTx58ujEiRMPPbdixYqPPP4wyQruli5dagZwD+bgPfi5XLlyybkk0hjDMDRvylg9lyWzCuTLK0kqV7qEnvPJrOFjp2jnnt9VvXJ5s37IXzf0xsCRunnrtj6bPVGenglXAUmS9f//skpsn0TDkCyWhPtqh4aF6a1hY3U08JRmTnxPObNnNY+92rSBWjSpr+joGLm7u8kwDM1YsEh9unXQ2fMXNWHGAi2YOlbHTwap77Ax2rRq4SO/7gX4r4k9F6j704fIKXseub3cUZ6Dp+v+h/0V+c1iRW1aodgzx+IqBh1VbNBxpR/1iVxrN1fU+kWPvK5zgaJyfv5FhX+UyNcnObvK4ple9ycPkHH7uiQp/PQRpR+7SG71Wyti8YeSpOj//aToXZslZxfp/4do3ZsHKPK7L+SUPY/SvdZb4fNHySlvQXn0Hq2w0d3MevgPSoNz7p6VZH1DxRdffKE33nhDhw4dko+Pj7Zv365vvvlGBQsWfOxGf7APzs7OqlCmpBnYPVCjStw3k5w4HT+kczLorF5/421d++u6Ppo+XiWKFH7odb294oZJE8vQ3Q8Pl7eXbUbvyrW/1LH3YB08elxTx41QraoVE5zn5OQkd/e4gG3Dj78oKjpazRrV08/bdqhcqeIqV7qE2rd6RXfvherg0SRODAf+I4y/rij29BFF7/xBEYsnyzn3C3LxrybrxTPxgd2Dujeuynr1vJxzv/DY67r4V5MRdk8xRxLZhT/yflx27v8Du7iycMWeOSanvAX+0UHDDNhcKtSRXFwVs/tnufhXU+zpI3F93/atLB5eiW7bgv8Ow2pNtYe9SVZwd/nyZbVq1Upubm7y8/PT4cOHVbhwYQ0fPlyrV69O6T7iGbj213Wt/naTrob8ZVMeGRklScqUMYMkac/vf6pjr0EyDENL5k+Rf4mij7yup0c6Zc+aRecvXbYpv3nrtkLD7qtg/vil4idOn9XrPQboWsh1fTRtvOrVrPrIa0dFRWnup0vV/40ucnZ21o1bd5QhQ9zG205OTvJOn17Xb9x65DWA/wKLV0a5VKwni5ftdkWxwSclSU7P5ZBLpXpyyp8wWLK4ucsIu/vYNlxKVFDMwV2SNTbBMWvIZcnFNUG5xdlFiop6yAVd5d60k6K+/VwyrLJ4Z5Rx/17cMcOQEREmS4bMiZ8L/MckK7hLnz69YmJiJEn58+fX6dOnJUkFCxbUpUtJm2iLtC0qKlrvfzhbq7/ZZFP+w5btcnJyUtlSxXX85Gn1Hfq+cmbPpi8/mfHQRRT/VLlCGW3fuVdRf/sQ/2nbDjk7O6lC2dKS4jJ2PQa8I4vFomULpqpCmZKPve7y1d8q63NZVLdGFUlSlswZdeNmXDAXHR2t23fvKkvmTEnqI+DQ3D3k0XmQXKs2tCl2KVpWkhQbfEruTTrIvUWAzXGnvAVlyZpTsScPPfr6nl5yypZbsWeOJno45ug+OeUpIKccfxsZSO8t5wJFFRt0JNFzXGu9IuPOjbiAUZJx7058MOfsIkv6DDLu3X50v+DYrEbqPexMsubclStXTh999JFGjRolPz8/ffXVV+rZs6f279+v9OnTp3Qf8QzkzZ1TTRvW1cLlX8vVzVWlivnpwKFj+nTpSrVt0UQv5Muj1l37KjomVm92a6+r1/7S1WvxWb7MmTKa31Jx8Mhxm+cB7Vtr0+bt6jVolDq1baHgC5c06+PP1bpZY3M+3cSZC3Tz1m2NGvKWQsPu6+CR+O8r9krvqYIv2C4Xv3svVJ8uXaU5k0abZTWrVtRny77SNxs369SZYHl7ealkcYZtAOPGVUXv/llujV+XrFbFBp+Uc75CcmvYTjFH9yv22H5FbvxSHh3fVrqOAxW9b6ucsmSX28sdZb10TtG7N5vXcsrvJyP0jozr8dsfPRi2jb1yPtH2o375Rq6V6svjzTGK/HaJjMgIuTdqJ8lQ1OY1CU/wSC/3Bm1s5u/FHN4jtwavyaViPTnnyifjfqhizzLtApAki2E8+Tftnjp1Sl27dlWXLl3Url07NW3aVHfv3lV4eLi6deumgQMHPlWnoq8/3b5KSBmRkVFa/OVqbfjxF125FqJsz2VRq1caqevrr+ry1RA1ei3goec2a1RPH4wcJEkqXrWRzXNJ+v3PI5o27zMFnj6jzBkz6OUGdfVWj05ycXFWdHS0ytdtoZjYhMM5klTOv4Q+nzvZpmzavIUKOnde86fYTt5e/OVqLV6+WhkzeGv0sH4qV7pEct8OpJCIUX2edRcgSS6ucqv3qlwr1pXFJ5uMOzcVvfcXRf2wMn6OW9macqv/qpyy55URFaGYP/+nyG8WS/dDzct4z9+k6F2bFbFsevyly1SXR/d3FDamh6zXLibavCXTc3JvHiCXYuUkZxfFBh1V5NpPZU0kIHRvESCnHM8rfMH7NuWu9V6VW/1Wcatlv5yt2NOJZ/3w7/Gev+nxlVJJ2PiEmwKnlPQjv0i1a6eGZAV3khQREaH79+/Lx8dHN27c0LfffqucOXOqYcOGjz/5MQjuAMdFcAc4LoK7tCHZuxCnS5fO/BLcLFmyqGvXrinWKQAAgCdih3PjUkuygjs/P79E9ymTJFdXV+XIkUPNmjXTm2+++dB6AAAASHnJCu5GjBih6dOn6/XXX1fZsnGrqw4ePKgvvvhCbdu2VcaMGbV06VK5ubmpR48ej7kaAADAU7LD/ehSS7KCu++//17vvPOO2rRpY5bVq1dPBQoU0FdffaUVK1aoUKFCmjx5MsEdAABIfQzLmpK1z11gYKAqVaqUoLxs2bI6ejRuX6OiRYvqypUrCeoAAAAg9SQruMuTJ4+2bt2aoPyXX35Rjhw5JEnnz5+Xj4/P0/UOAAAgKQxr6j3sTLKGZXv37q3hw4fr8OHD8vf3l9Vq1cGDB/Xjjz9qzJgxOnv2rEaMGKGXXnoppfsLAACAR0hWcNe0aVN5eXlp0aJFmj59ulxcXFS4cGEtWLBA1atX1759+9S0aVP17ds3pfsLAACQEHPuTMne56527dqqXbt2osfKly+v8uXLJ7tTAAAASJ5kB3eBgYFasmSJzp49q1mzZunnn39WwYIFE11oAQAAkJoMtkIxJWtBxZEjR9S6dWtdvHhRR44cUVRUlI4fP65u3bolutACAAAA/45kBXdTp05VQECAli1bJldXV0nS+PHj1alTJ82dOzdFOwgAAPBYViP1HnYm2Zm75s2bJyhv166dzpw587R9AgAAeDIEd6ZkBXeurq4KDQ1NUH758mV5eHg8dacAAACQPMkK7urVq6dp06bp1q1bZllQUJA++OAD1apVK6X6BgAAkDRsYmxKVnA3bNgwRUREqEqVKgoPD1fLli3VpEkTubi4aOjQoSndRwAAACRRsrZC8fLy0sqVK7Vr1y4dO3ZMVqtVvr6+qlGjhiwWS0r3EQAA4NHscG5caklycNepU6dHHv/tt9+0cOFCWSwWLVmy5Kk7BgAAgCeX5OAud+7cjzy+f/9+XbhwQV5eXk/dKQAAgCdhkLkzJTm4mzhxYqLloaGhmjRpki5cuKAqVapo/PjxKdY5AAAAPJlkf/2YJO3cuVPvvfee7t69qzFjxqhNmzYp1S8AAICkI3NnSlZwFxYWpkmTJunrr79W5cqV9cEHHyhXrlwp3TcAAICk4btlTU8c3D3I1t25c0fvv/++2rZtmxr9AgAAQDIkObgLCwvThx9+aJOty5kzZ2r2DQAAIGkYljUlObhr2rSprly5orx586pMmTJas2bNQ+v27ds3RToHAACAJ/NEw7I5c+ZUTEyM1q5d+9A6FouF4A4AAPy7yNyZkhzc/fLLL6nZDwAAAKSAp9oKBQAAIC0wDDJ3Dzg96w4AAAAg5ZC5AwAA9o85dyaCOwAAYP8I7kwMywIAADgQMncAAMDuGWTuTGTuAAAAHAiZOwAAYP/I3JnI3AEAADgQMncAAMD+WZ91B9IOMncAAAAOhMwdAACwe6yWjUdwBwAA7B/BnYlhWQAAAAdC5g4AANg/FlSYyNwBAAA4EDJ3AADA7rGgIh6ZOwAAAAdC5g4AANg/5tyZyNwBAAA4EDJ3AADA7jHnLh7BHQAAsH8My5oYlgUAAHAgZO4AAIDdM8jcmcjcAQAAOBAydwAAwP6RuTORuQMAAHAgZO4AAIDdY85dPDJ3AAAADoTMHQAAsH9k7kwEdwAAwO4xLBuPYVkAAAAHQuYOAADYPTJ38cjcAQAAOBAydwAAwO6RuYtH5g4AAMCBkLkDAAD2z7A86x6kGWTuAAAAHAiZOwAAYPeYcxeP4A4AANg9w8qw7AMMywIAADgQMncAAMDuMSwbj8wdAACAAyG4AwAAds8wLKn2eBpWq1WzZ89W9erVVapUKQUEBCg4OPih9Y8cOaLOnTvL399flSpV0qhRo3T37t0napPgDgAAIJXMnz9fK1eu1Pjx47Vq1SpZLBb16NFDUVFRCeqGhISoa9euev7557Vu3TrNnz9fBw4c0LBhw56oTYI7AABg9wxr6j2SKyoqSosWLdJbb72lmjVrys/PTzNmzNC1a9e0efPmBPUvXbqk6tWra/To0cqfP7/KlCmj1q1ba9euXU/ULsEdAABAKggMDFRYWJgqVapklmXIkEFFixbVvn37EtT39/fX9OnT5eISt9719OnTWrdunapWrfpE7bJaFgAA2L3U3Oeubt26jzy+ZcuWRMuvXr0qScqZM6dNebZs2XTlypVHXrNBgwY6d+6ccufOrfnz5z9Bb8ncAQAApIrw8HBJkpubm025u7u7IiMjH3nu1KlT9cUXXyhr1qzq1KmTwsLCktwumTsAAGD3DCP1rv2wzNzjpEuXTlLc3LsHP0tSZGSkPDw8HnluiRIlJElz5sxRzZo1tXnzZjVv3jxJ7ZK5AwAAds+wWlLtkVwPhmNDQkJsykNCQpQjR44E9YOCgrR9+3absmzZsiljxoy6du1aktsluAMAAEgFfn5+8vLy0p49e8yyu3fv6tixYypXrlyC+r/99pv69++v0NBQs+z8+fO6deuWChYsmOR2Ce4AAIDdS4uZOzc3N3Xo0EFTp07Vli1bFBgYqLfffls5cuRQ/fr1FRsbq7/++ksRERGSpGbNmsnb21tDhgzRqVOntH//fvXr108lS5ZU7dq1k9wuwR0AAEAq6devn1q1aqWRI0eqXbt2cnZ21sKFC+Xm5qYrV66oWrVq2rhxoyQpc+bMWrp0qaxWq9q1a6c+ffqoaNGiWrhwoZydnZPcpsUwUnMKYvJEXz/zrLsAIJVEjOrzrLsAIJV4z9/0zNo+W6p+ql37hYMJNxxOy8jcAQAAOBC2QgEAAHYvNTcxtjdk7gAAABwImTsAAGD3DIPM3QMEdwAAwO4Z1mfdg7SDYVkAAAAHQuYOAADYPSvDsiYydwAAAA6EzB0AALB7LKiIR+YOAADAgZC5AwAAdo9NjOORuQMAAHAgZO4AAIDdM4xn3YO0g+AOAADYPYZl4zEsCwAA4EDI3AEAALvHJsbxyNwBAAA4EDJ3AADA7rGJcTwydwAAAA6EzB0AALB7bIUSj8wdAACAAyFzBwAA7B6rZeMR3AEAALvHgop4DMsCAAA4EDJ3AADA7rGgIh6ZOwAAAAdC5g4AANg9FlTEI3MHAADgQNJk5s4jV/Vn3QUAqeTVnOWfdRcApJJVz7BtVsvGI3MHAADgQNJk5g4AAOBJMOcuHsEdAACwe+yEEo9hWQAAAAdC5g4AANg9hmXjkbkDAABwIGTuAACA3WMrlHhk7gAAABwImTsAAGD3rM+6A2kImTsAAAAHQuYOAADYPUPMuXuA4A4AANg9K7sYmxiWBQAAcCBk7gAAgN2zMixrInMHAADgQMjcAQAAu8eCinhk7gAAABwImTsAAGD32MQ4Hpk7AAAAB0LmDgAA2D3m3MUjuAMAAHaPYdl4DMsCAAA4EDJ3AADA7pG5i0fmDgAAwIGQuQMAAHaPBRXxyNwBAAA4EDJ3AADA7llJ3JnI3AEAADgQMncAAMDuWZlzZyK4AwAAds941h1IQxiWBQAAcCBk7gAAgN1jE+N4ZO4AAAAcCJk7AABg96wWFlQ8QOYOAADAgZC5AwAAdo/VsvHI3AEAADgQMncAAMDusVo2Hpk7AAAAB0LmDgAA2D0ri2VNBHcAAMDu8d2y8RiWBQAAcCBk7gAAgN1jK5R4ZO4AAAAcCJk7AABg91hQEY/MHQAAgAMhcwcAAOwemxjHI3MHAADgQMjcAQAAu8dq2Xhk7gAAgN2zWlLv8VT9slo1e/ZsVa9eXaVKlVJAQICCg4MfWv/UqVPq2bOnKlasqMqVK6tfv366fPnyE7VJcAcAAJBK5s+fr5UrV2r8+PFatWqVLBaLevTooaioqAR1b926pa5duyp9+vT64osv9Omnn+rWrVvq3r27IiMjk9wmwR0AALB71lR8JFdUVJQWLVqkt956SzVr1pSfn59mzJiha9euafPmzQnq//zzzwoPD9ekSZNUqFAhFS9eXFOmTFFQUJAOHDiQ5HYJ7gAAAFJBYGCgwsLCVKlSJbMsQ4YMKlq0qPbt25egfuXKlTVv3jy5u7snOHbnzp0kt8uCCgAAYPdScyuUunXrPvL4li1bEi2/evWqJClnzpw25dmyZdOVK1cS1M+TJ4/y5MljU/bxxx/L3d1d5cuXT3J/ydwBAACkgvDwcEmSm5ubTbm7u3uS5tAtXbpUX375pQYOHKgsWbIkuV0ydwAAwO4Zqfj1Yw/LzD1OunTpJMXNvXvwsyRFRkbKw8PjoecZhqFZs2ZpwYIFeuONN9SlS5cnapfMHQAAQCp4MBwbEhJiUx4SEqIcOXIkek50dLSGDBmijz76SEOHDtXAgQOfuF2COwAAYPfS4mpZPz8/eXl5ac+ePWbZ3bt3dezYMZUrVy7Rc4YOHaoffvhB06ZNU7du3ZLVLsOyAADA7qXF75Z1c3NThw4dNHXqVPn4+Ch37tyaMmWKcuTIofr16ys2NlY3b96Ut7e30qVLp7Vr12rjxo0aOnSoKlSooL/++su81oM6SUHmDgAAIJX069dPrVq10siRI9WuXTs5Oztr4cKFcnNz05UrV1StWjVt3LhRkvTdd99JkiZPnqxq1arZPB7USQqLYRhp7uvYXNxyP+suAEglr+ZM+nJ+APZlVfD6Z9b2nLwdUu3ab134ItWunRrI3AEAADgQ5twBAAC7Z03FrVDsDZk7AAAAB0LmDgAA2L20uFr2WSFzBwAA4EDI3AEAALtH5i4ewR0AALB7aW5ft2eIYVkAAAAHQuYOAADYPbZCiUfmDgAAwIGQuQMAAHaPBRXxyNwBAAA4EDJ3AADA7rFaNh6ZOwAAAAdC5g4AANg9K7k7E8EdAACweyyoiMewLAAAgAMhcwcAAOweg7LxyNwBAAA4EDJ3AADA7jHnLh6ZOwAAAAdC5g4AANg9q+VZ9yDtIHMHAADgQMjcAQAAu8cmxvEI7gAAgN0jtIvHsCwAAIADIXMHAADsHluhxCNzBwAA4EDI3AEAALvHgop4ZO4AAAAcSLKDu5CQEM2dO1cDBw7UjRs3tGnTJgUFBaVk3wAAAJLESMWHvUlWcBccHKymTZtq3bp1+umnn3T//n1t2rRJrVq10oEDB1K6jwAAAEiiZAV3kyZNUr169fTzzz/L1dVVkjRjxgzVq1dP06dPT9EOAgAAPI41FR/2JlnB3R9//KGuXbvKYon/IjdnZ2f16tVLx48fT7HOAQAAJIVVRqo97E2ygrvY2FhZrQlj2dDQUDk7Oz91pwAAAJA8yQruqlWrpgULFig2NtYsu3XrlqZMmaJKlSqlWOcAAACSggUV8ZIV3A0fPlzHjh1TlSpVFBkZqd69e6tOnTq6dOmShg0bltJ9BAAAQBIlaxPj7Nmza/369fruu+90/PhxWa1WtWvXTs2aNZOXl1dK9xEAAOCR7HHhQ2pJVnA3e/ZstWjRQq1bt07p/gAAAOApJGtY9vvvv9dLL72k9u3ba/Xq1QoNDU3pfgEAACSZkYr/2ZtkBXc//vijVq5cKT8/P02fPl3Vq1fX4MGD9b///S+l+wcAAIAnkOyvHytVqpTee+89/fbbb5oxY4YsFov69u2r2rVrp2T/AAAAHotNjOMla87d312/fl1nzpxRcHCwIiMjlT9//hToFgAAQNLZ42bDqSVZwV1oaKh++OEHbdiwQfv27VPu3LnVvHlzzZw5U7ly5UrpPgIAACCJkhXcValSRS4uLmrQoIGWLFmi8uXLp3S/AAAAkoy8XbxkBXdjxoxRw4YN5eHhkdL9AQAAwFNI8oKKffv2KSYmRpKUJ08eHTlyRPv27Uv0AcfV4KVa2r1ro+7ePq2gU3s0bGjfR9b38EinSRPfVdCpPbp7+7R2/PqtGrxUK0G98uVK65efV+v2zZO6eP4PTZ70ntzc3GzqjHl/iC5fPKigU3vUqeNrCa6xe9dGtW3b/GleHvCflCXnc1p0aLmKVir+RMf+ycXNRe2GdtC8XZ9p2YlVmrRxuqo1r5GgXp229TV182wtO7FKM36Zp0ZdX05Q57VBr+uT3z/X3J2fqGarOgmOT9gwVVWbJbw2/rusMlLtYW+SnLnr2LGjdu7cqSxZsqhjx46yWCwyjIQv2GKx6Pjx4ynaSaQNlSuV07q1i/XV1xs0evRkVa1aQePGDpOTk5MmTpqd6DkLP5uhBi/V0jvvTtTp02fVsWNrfbN+ierVb60dO/dKkgoUyKcfNq3Qrl371e71XvLzK6RxY4cqQ0Zv9eo9VJLUuFFdDRrYSz3eGCyfzJn08UeTtf/3P3Xs2ElJUps2zeTi4qKVK9f/K+8F4Ciey51V7ywdrfQZ0z/RscT0nzNYZeqW03efrNeRnYeUv3gB9ZjQW96ZM2jT4u8kSfU7NFT3D3pp/fw1OrzjoF4s7auOI7vK3TOd1s9bLUnyr1NWTXs218fD5sork7d6TnpTQQdP6eKpC5KkKq9Ul7Ozs3Z+82sKvQuAY0lycLdlyxZlzpzZ/Bn/Pe+NfFsHDx5Vl679JEk//rRNrq4uGjqkj2bM/EQRERE29QsUyKfXWr+iPn1H6ONPlkqSftm6Q1Uql1OvXp3N4G7woDd1716YWrwaoOjoaG364Rfdvx+u2bPGa8LEWTp//pLq1qmun7f8phUr1kmSAgJeV80alXXs2Em5urpq3JhheqvfO//iuwHYN4vFopqtaqvDu12e6NjD5C/2gio0rKQVk78wg7TDOw8p8n6k2o/opO1rtur+3TA1691S/9uwQys+XCZJOrLzkHK+kEsNuzQ2zytRtZQO7zioHevjgrc6beqpaOXiunjqgpxdXdR2SHstHPnx070BcDj2uGVJaknysGzu3Lnl5BRXfe7cucqYMaNy585t80ifPr0mTJiQap3Fs+Pm5qaaNStr3fpNNuVr1nwvb28vVa9WIcE5Fy9eUcVKjfTlirVmmWEYiomNlbt7/JDrS/Vr6vuNPys6Ojr+umu/k7Ozs16qX8s8Lzw8PniMioqSs7OzJKl3r846f/6SfvxpW0q8VOA/4fki+dVtfC9tX7NVc9+eleRjD5P7xbySpN9/tp2ac2z3EaVL76FileOGdSd2HqvlE5fY1ImJjpGrm6v53JChqIgom+MPfv806NhI1y/9pYPb/0jiKwX+e5Kcufv999914UJcSnz9+vUqVqyYvLy8bOoEBQXxLRUOqkCB5+Xu7q6Tp87YlJ8OOidJKlSogDb/bDtEEhUVpd8PHJIUlwnIkyenBvR/QwUL5FP//u9KktKlS6f8+fPq1D+ue/36Td25c1e+hQpIknbt+V1zXv9AhQoVUOZMGVWiuJ/+97998vb20ojh/fRKs06p8bIBh3X90l/qX7O3bl69kWA+3aOOPczdG3ckSVnzZNOFE8FmefZ8OSRJ2fJmlyRdOn3RPJY+o5cqNqqkGi1racMn683yU7+fUPVxNZXzhVxKnzG98hbOpxP7A+Xh5aEWfVtpUtfxyXrNcGz2+DVhqSXJwZ3FYtHw4cPNn8ePT3hzeXp6qlu3binXO6QZmTJmlCTdu2v7PcL37sU9z5DB+5HnDx/2lsaNHSZJWrjoS23bvivuupkySJLu3r2X4Jx798LknSHuD4g1a75TndrVdOjPXxQdHaPR70/RgT8O64Pxw/Xrb7v1+4FDmvLhKDVqXFcHDx5Vv/7v6saNW0/xigHHFnYnVGF3Ev9e8Ecde5hje47qavBVdR3TXVERkQo6eEr5iryg9iM6yRobK3fPdDb1C5fz09g1kyRJQYdO64fPvzeP7d74PxWvWlJTN89WbEysvpr+pc4eCVK7oR10bM9RnTkcpI4ju8q/dlkFHzurRaM+0b1bCT9DgP+qJA/LlilTRoGBgQoMDJRhGNqxY4f5/MHjwIED6tv30asnYZ+cnCySlOgiGkmyWh8922HDdz+pdp2WGjxkjFq3aqpv1n3+/9d1euh1LRbJao0v79N3uDJm9lUmH19Nm/6RcuXKod69uui9UR/qzd5dVK9+Db3WpodiY2M1b+6k5LxMAMkUGx2jCR3f143L1/Xel2P1+dEV6j9vsFZN+1KSFHnfdk5uyPlrev+1dzW733R5entq4oapyvhcRvP4Z+9+pM5F26pz0Xba8PF6Zc7uo5c6NdbKKV+oQadGKlm9tKb3+lBWq1XdP+j1r75WpE18/Vi8ZO1zFxgYmNL9QBp3+85dSTIzaQ94e8c9v3Pn0X81HzkS9//Mbzv26PbtO/rs0+mqUrmc/jx4VFLimT8vr/S6e/euTVlUVPw8nPdHD9bKVd/o5MkgfbxgspYvX6Njx05qzpyF+u3Xb+Tk5PTYoBNAyrkWfFXvv/auMmTJKO/M3rpy9rKy5HpOTs7OCr1tmwm8FXJLt0Lisuun/zipmdvnq07b+lo3d7VZJyYqxvz5tUGv63/f/qYrZy7rjUl99Nvabbp46oI2LvpO49ZOksXJSQb3+38aw7LxkhzcderUSXPnzlWGDBnUqdOj5zctXbr0qTuGtCUoKFgxMTF6sWB+m/IHz48fP5ngnPz586p2rar6csU6RUZGmuX7fz8oScqTN5f+t2u/Ll68ooL/uO5zz/koY8YMOnb8VKL9KVrUV61bNVXR4nH7XGXN9pxu3rwtSbp1+45cXFz03HM+Cgm5noxXC+BJubq7qWLjyjqx/7j+uhBizsErUKKgJOnskSClS59O5epX0Kk/Tupa8FXz3GvnryrsTqiy5Hwu0WvnKZRXlZtU1du135QkZciSUaH//wdl2J1QObs4K4OPt+5cv5OaLxGwG8laLZsrV64EK2X//oDjiYyM1G+/7VGL5o1tyl99tYlu3bqtvfv+THDOC/mf16efTFOLFo1syh9sYnzo0DFJ0uaft6tJ43o2mxa/2vJlxcTEaOvWnYn2Z+IH72re/MW6cuWaJOmvkOvKkSObJClnjmyKiYlhzh3wL4qJjlHAmJ6q1+4ls8zi5KSGnZvoytnLunDivKyxVr3xYV+90qulzbkFS74o78wZFHz8XKLXfn1EJ/3w+fdmpu/ujTvKlDVua67M2TIrNiaWOXdgWPZvkpy5mzhxovnzpEnMZ/ovmjBxln78YaVWrvhYn3++UpUrl9Oggb014p0PFBERIW9vLxUt4qugM+d0/fpNbf91l7Zu3anZM8crU8aMOnkySLVqVdHgQb31yadfKDDwtCRp6rT5atummb7f8IVmzvpEhQoV0Phxw/TJp1/o4sXLCfpRo3olVapUVp26vGWWbdy0Rb3e6Kw//zyivn0CtOmHXxQbG/uvvTfAf42Hl4fyFMqrq8FXde/mXRlWq35atkmNuzXVzWs3den0RTXo1FiFyxXRlB4TZBhx25t8+9Fatez3mkJv3dXh/9/jrtWAtjp39Ky2fZ1wD9UiFYvJt0xhzR0w0yw78Mt+vdSxkc4ePaNGXV7WH1t/lzXWHn8FA6kjWXPuJOnAgQPKnz+/fHx8tH79em3atEllypRRz549ZbFYUrKPSCO2btup1m16aPSoQVqzeqEuXbqqYcPHa8bMuM1Ey/iX0JafVyug29tauuwrWa1WtWwVoPfefVuDBvZSrlzZdfbcBY14Z4Jmz/nMvO6JE0Fq1Ph1fTjpPa1a+bGuX7+lWbM/1ajRUxLtx6SJ7+rDyXN05078fLzZcxaqaNHCWrZ0rg4cOKzuPQel7psB/Me9ULygRq8ar/mDZmv76l8kSV/PWCHDsOqVN1rIK5OXzh07q0ldxunQb3+a562euUq3/7qtlzo2UuNuTRV6O1S7v9+plVOXKzoyOkE77Ud01vr5a3T/bphZtmnxd8rr+7z6zRqoM0eCtGDInFR/vUj7rA9Z8PdfZDEetvzxEVauXKkxY8Zo0aJFypIli5o1a6bKlSvr2LFj6tChw1OvmHVxY2gXcFSv5iz/rLsAIJWsCl7/zNrumK/l4ysl07LgtY+vlIYkec7d3y1ZskQjR45U5cqVtWnTJhUqVEiLFi3S5MmTtXatfb0BAADA/hmp+LA3yQruLl68qDp16kiSdu7cqRo14lYsvvjii7p+ndWJAAAAz0qygrssWbIoJCRE169f15EjR1S1alVJcfvfPfdc4kvZAQAAUotVRqo97E2yFlQ0adJEgwcPloeHh3LkyKEKFSpo48aNGjdunFq1apXSfQQAAHgkNjGOl6zgbtCgQcqRI4cuXLig9u3by9nZWTdu3NBrr72mfv36pXQfAQAAkETJCu6cnJzUsWNHm7J/PgcAAPi3sNNhvGTNuZOkrVu3qk2bNipdurTKlSuntm3bavPmzSnZNwAAADyhZAV3P//8s958801lz55dAwcOVN++fZUlSxb1799fW7Yk3GEcAAAgNbGgIl6yhmXnzZunvn37qk+fPmZZly5dNHfuXC1YsEB169ZNsQ4CAAAg6ZKVuQsKCtLLL7+coPzll1/WqVOnnrpTAAAAT8JIxf/sTbKCu2zZsuncuXMJys+dOydvb++n7RMAAACSKVnB3csvv6wxY8Zo+/btCg0NVWhoqLZv366xY8eqYcOGKd1HAACAR7Km4sPeJGvOXe/evXXy5Em98cYbslgskiTDMFSzZk0NGjQoRTsIAADwOIZhf8OnqeWJgrtr165p8+bNcnd316hRozRo0CCdPHlShmGocOHCKliwYGr1EwAAAEmQ5OBu//796tGjh8LDwyVJ6dOn16xZs9SoUaNU6xwAAEBS2OOWJaklyXPuZs+erUqVKunXX3/Vzp07Va1aNU2aNCk1+wYAAIAnlOTM3fHjx7VixQply5ZNkvTOO++oVq1aCg0NlZeXV6p1EAAA4HHsceFDakly5i4sLEyZMmUyn2fPnl2urq66c+dOavQLAAAAyZDk4M5qtZorYx9wdnaW1UqsDAAAnq20uomx1WrV7NmzVb16dZUqVUoBAQEKDg5O0nndunXTnDlznrjNZO1zBwAAgMebP3++Vq5cqfHjx2vVqlWyWCzq0aOHoqKiHnpORESEhgwZoh07diSrzSfaCmXRokXy8PAwn8fExGjp0qXKmDGjTb2+ffsmqzMAAADJkRZXy0ZFRWnRokUaMmSIatasKUmaMWOGqlevrs2bN6tJkyYJzjlw4IDeffddRUdHK0OGDMlqN8nBXa5cubRp0yabsqxZs2rLli02ZRaLheAOAAD8q9LiJsaBgYEKCwtTpUqVzLIMGTKoaNGi2rdvX6LB3W+//ab69eurZ8+eeuWVV5LVbpKDu19++SVZDQAAANizunXrPvL4PxNdD1y9elWSlDNnTpvybNmy6cqVK4me079//2T00Fayvn4MAAAgLUmLyzsffPGDm5ubTbm7u3uq7jZCcAcAAPAID8vMPU66dOkkxc29e/CzJEVGRtqsYUhprJYFAAB2Ly1uhfJgODYkJMSmPCQkRDly5Hiq1/soBHcAAACpwM/PT15eXtqzZ49ZdvfuXR07dkzlypVLtXYZlgUAAHYvLW6F4ubmpg4dOmjq1Kny8fFR7ty5NWXKFOXIkUP169dXbGysbt68KW9vb5th26dF5g4AACCV9OvXT61atdLIkSPVrl07OTs7a+HChXJzc9OVK1dUrVo1bdy4MUXbtBhpcGMYF7fcz7oLAFLJqznLP+suAEglq4LXP7O26+Z5KdWuveXiT6l27dTAsCwAALB7aXFY9llhWBYAAMCBkLkDAAB272m2LHE0ZO4AAAAcCJk7AABg96xpb33oM0PmDgAAwIGQuQMAAHaPvF08MncAAAAOhMwdAACwe+xzF4/gDgAA2D2Cu3gMywIAADgQMncAAMDuGWyFYiJzBwAA4EDI3AEAALvHnLt4ZO4AAAAcCJk7AABg9wwydyYydwAAAA6EzB0AALB7rJaNR3AHAADsHgsq4jEsCwAA4EDI3AEAALvHsGw8MncAAAAOhMwdAACwe8y5i0fmDgAAwIGQuQMAAHaPTYzjkbkDAABwIGTuAACA3bOyWtZEcAcAAOwew7LxGJYFAABwIGTuAACA3WNYNh6ZOwAAAAdC5g4AANg95tzFI3MHAADgQMjcAQAAu8ecu3hk7gAAABwImTsAAGD3mHMXj+AOAADYPYZl4zEsCwAA4EDI3AEAALvHsGw8MncAAAAOhMwdAACwe4ZhfdZdSDPI3AEAADgQMncAAMDuWZlzZyJzBwAA4EDI3AEAALtnsM+dicwdAACAAyFzBwAA7B5z7uIR3AEAALvHsGw8hmUBAAAcCJk7AABg96xk7kxk7gAAABwImTsAAGD3DBZUmMjcAQAAOBAydwAAwO6xWjYemTsAAAAHQuYOAADYPTYxjkdwBwAA7B7DsvEYlgUAAHAgZO4AAIDdYxPjeGTuAAAAHAiZOwAAYPeYcxePzB0AAIADIXMHAADsHluhxCNzBwAA4EDI3AEAALvHnLt4BHcAAMDusRVKPIZlAQAAHAiZOwAAYPcMFlSYyNwBAAA4EDJ3AADA7jHnLh6ZOwAAAAdC5g4AANg9tkKJR+YOAADAgZC5AwAAdo/VsvEI7gAAgN1jWDYew7IAAAAOhMwdAACwe2Tu4pG5AwAAcCBk7gAAgN0jbxePzB0AAIADsRgMUgMAADgMMncAAAAOhOAOAADAgRDcAQAAOBCCOwAAAAdCcAcAAOBACO4AAAAcCMEdAACAAyG4AwAAcCAEdwAAAA6E4A4AAMCBENwBAAA4EII7AAAAB0Jwl0bUqVNHhQsXNh9FihRRuXLl1LFjR+3fvz/F29uzZ48KFy6sixcvSpI6duyo4cOHJ+nc+/fva/ny5U/V/sWLF1W4cGHt2bPnkf374IMPEj1euHBhrV279qn68KRu3bqlr7/+2nz+JO8Z8AD3euL9+/ujWLFiqlWrlkaOHKm7d+8+Vft/9/fPjejoaH3++efmsTlz5qhOnTop1hbwLLk86w4gXkBAgAICAiRJhmHo9u3bmj59urp3764ffvhBOXLkSLW258yZI2dn5yTVXbRokdauXav27dunWn8eWLZsmRo0aKBy5cqleluPM3nyZF28eFGtW7eW9GTvGfB33OsJff3118qZM6ckKTY2VidOnNDw4cN1/fp1ffTRRynSxo4dO+Tt7S1J+u677zRx4kR16dJFUty/yb/xOoF/A5m7NMTT01NZs2ZV1qxZlS1bNvn6+mrMmDEKDw/XTz/9lKptZ8qUyfzQexzDMFK1L3+XJ08ejRgxQuHh4f9amw/zz9f9JO8Z8Hfc6wn5+PiY70mOHDlUs2ZNde7cWdu2bdO9e/dSpI2sWbMqXbp0khK+tvTp08vHxydF2gGeNYK7NM7FJS656ubmJiluSGfChAlq3LixKlasqN27d8swDH366aeqW7euSpUqpWbNmunbb7+1uc7+/fvVunVrlSxZUs2bN9eJEydsjv9zqObIkSPq2rWr/P39VaVKFY0aNUr379/XnDlzNHfuXF26dMlmqGfNmjVq1KiRSpYsqUaNGmnJkiWyWq3m9U6ePKlOnTqpdOnSatCggXbv3p2k1//+++8rJCRE06ZNe2S9AwcOqH379ipZsqRq1aqlMWPGKDQ01DweHh6u0aNHq2LFiipTpozeffddDRo0yOY1r1mzRs2bN1fJkiVVunRpdezYUUePHpUkDR8+XOvWrdPevXtVuHBhm/csLCxM/v7++vLLL236tGDBAtWqVUtWqzVJ/0b4b/uv3+uJcXZ2lsViMd+boKAg9erVSxUrVlTZsmXVr18/Xb582ax/7tw5devWTWXLlpW/v7+6detm8/ofDMuuXbtWI0aMMMv27NljMyzbsWNHDRgwwKYvv//+uwoXLqzg4GBJ0tatW9WyZUuVLFlS9evX18yZMxUVFZXs1wqkJIK7NOzatWsaO3asPD09VaNGDbN8xYoVGjlypD777DOVKVNGM2bM0JdffqmRI0dqw4YN6tSpk95//31zrsyFCxcUEBCgIkWKaN26derdu7fmzZv30HYvXryojh07ysfHR6tWrdLcuXO1Z88ejRo1yhxOypEjh3bs2KGcOXNq1apV+vDDD9WnTx99//33GjBggD799FNNnTpVknTv3j116dJFXl5e+vrrrzVq1CjNnz8/Se9B/vz5NWDAAH3xxRfat29fonUCAwPVpUsXVa1aVd9++62mTp2qo0ePKiAgwPzrfNiwYdq5c6dmzJihlStXKjQ0VN9//715jc2bN2v06NHq0qWLNm3apCVLligiIkLvvvuuJOndd99Vo0aN5O/vrx07dti0nz59ejVo0EAbNmywKd+wYYOaNWsmJyenx/4b4b+Ne91WTEyM9u/fr6VLl6pmzZry8PDQpUuX1KZNG7m5uWnJkiVavHixbty4oQ4dOph/yA0cOFDZsmXTmjVr9PXXX8vJyUl9+/ZNcP3GjRvrnXfekRQ3VOvv729zvEWLFtq6davNH4jffvutypQpo3z58unXX39V//791bp1a3333XcaPXq0Nm3apCFDhjzxawVShYE0oXbt2kaxYsWM0qVLG6VLlzaKFy9u+Pr6Go0aNTK2bdtmU69Pnz7m87CwMKNEiRLGpk2bbK43a9Yso3bt2oZhGMbUqVON2rVrGzExMebxxYsXG76+vsaFCxcMwzCMDh06GMOGDTMMwzCmTZtm1KxZ04iKijLr792715g7d65hGIYxe/Zs89qGYRg1atQwPvvsM5v2V69ebZQoUcKIiIgwVqxYYZQuXdq4e/eueXzz5s2Gr6+vsXv37kTfj927d5v9i42NNdq0aWPUq1fPuH//vmEYhuHr62usWbPGMAzDGDx4sNGzZ0+b88+fP29e/8HPv/76q3k8IiLCqFatmvma9+7da6xbt87mGqtWrTL8/PzM58OGDTM6dOhgPv/7e7Znzx6jcOHC5vt5+PBhw9fX1zh79myS/o3w38G9buvBvV6qVCnzPfHz8zOKFStmvPnmm8b169cNwzCMyZMnG9WrVzciIyPNc69fv26ULFnSWL58uWEYhlG2bFlj6tSpRnR0tGEYhhESEmLs3r3biI2NNQzD9nNjzZo1hq+vr3mtv7/WsLAwo3Tp0sbatWsNwzCMyMhIo0KFCsZXX31lGIZhtGvXzhgzZozN69i1a5fN+ww8SyyoSEPatm2rjh07SpKcnJweOjcmX7585s+nT59WZGSkhg0bZg4zSHF/+UZFRSkiIkInT55U0aJFbSZRlylT5qH9OHHihIoVKyZXV1ezrHz58ipfvnyCujdv3tTVq1c1a9YszZ071yy3Wq2KjIzUxYsXdfLkSeXPn9/mtfzzL+VHcXJy0sSJE9W8eXNNmzZNI0eOtDl+7NgxBQcHJ3rNoKAg3b59O0Gb7u7uKlGihM3r8/Hx0fz58xUcHKyzZ8/q+PHjNsNNj1K+fHnlyZNH3333nXr16qVvvvlG/v7+yp8/vw4dOvTYf6MH84Dw38C9ntAnn3yi7NmzS4obms6SJYs5RC3FDfcWL17cpixLlix64YUXzKHXt99+WxMmTNCKFStUqVIlVa9eXY0aNZKT05MNUnl6eqphw4basGGDWrRooV9//VURERFq1KiRpLjPnEOHDmndunXmOcb/jxIEBQUpT548T9QekNII7tKQjBkz2nyYP8zfA4EHHygzZ85UgQIFEtR98EFo/GPy8IM5LIlxcXGRxWJJUp8fBD8jRoxQlSpVEhx/sPrtSdpPzAsvvKABAwboww8/VIMGDRL0oWnTpurVq1eC83x8fMwtGB4VqH3//fcaOnSoXn75ZZUsWVKtWrXSyZMnNXbs2CT1z2KxqHnz5tqwYYN69OihjRs3qn///pKS/m+E/w7u9YRy5cr1yKDIMIxE+xobG2sGp+3bt1fDhg21fft27dq1S9OnT9ecOXO0fv16Pffcc0nqxwMtW7ZU586d9ddff+nbb79VvXr15OXlJSnuvejevbtatGiR4LysWbM+UTtAamDOnZ0rUKCAXFxcdPnyZeXLl898bN++XQsXLpSTk5OKFCmiw4cP20z2PXz48EOv+eKLL+rYsWOKjY01yzZv3qwaNWooPDzc5gM2S5YsypIli86fP2/T/tGjRzVz5kxJUpEiRXT27FndvHkzSe0/TOfOneXv72/OlXmgUKFCOnXqlE37sbGxmjhxoq5cuaLChQvLYrHozz//NM+Jjo7WsWPHzOcfffSRWrVqpQ8//FDt27dX+fLldeHCBUnxv6we90uwRYsWCgoK0pdffql79+6Zf+Un5d8IeJz/0r2eGF9fXx06dMjmtV2/fl3BwcEqWLCgrl+/rrFjxyo6OlotW7bUlClT9O233+qvv/7S3r17E1zvcfdz+fLllTt3bq1fv17btm2zCeQKFSqkM2fO2LwP165d0+TJkxUWFpYirxd4GvxWsXPe3t5q27atZs6cqfXr1+vChQtat26dpkyZYv6l2q5dO4WHh+udd95RUFCQtm7dajOs8k+vv/66bt26pdGjRysoKEj79+/X1KlTVbVqVXl4eMjT01N37tzR2bNnFRMTo+7du2vZsmVatmyZzp8/r59//lljxoyRm5ub3Nzc1KRJE2XJkkWDBg1SYGCg9u7dqwkTJjzxa3VyctKECRMUEhJiUx4QEKDjx49r1KhROn36tA4ePKjBgwfr7Nmzyp8/v/LmzatGjRpp3Lhx2rVrl4KCgvTee+/pypUr5gd8zpw5deDAAR09elTnz5/X559/ri+++EKSzF8mnp6eCgkJMYO+f8qdO7cqVqyoGTNmqH79+ubQVFL+jYDH+S/d64lp166dQkNDNXjwYAUGBurQoUPq37+/MmfOrCZNmihTpkzatm2bRo4cqePHj+vChQv68ssv5erqquLFiye4nqenp6S41cIRERGJttm8eXMtWLBAmTJlsslW9ujRQz/99JPmzJmjs2fPateuXRoxYoTu3r1L5g5pAsGdAxgxYoS6dOmi2bNnq1GjRpo3b5769u2rt956S5KUPXt2LVmyRFevXlWLFi00adIk9e7d+6HXy549uxYtWqSzZ8+qRYsWGjBggGrWrKnRo0dLkl566SVlzZpVr7zyio4dO6aAgACNGDFCy5cvV+PGjTVu3Di1bNlS48aNkxT3Ibp06VK5urqqXbt2Gjp0qHr06JGs1/rCCy/o7bfftikrXbq0PvvsM508eVItW7ZUz549lTdvXi1evNgcqho3bpzKli2rt956S6+99prc3d1VunRpczjnvffe03PPPacOHTqodevW2rp1qyZPnixJOnjwoKS4D/rw8HC9/PLLCQLMB1q2bKmwsDA1b97cpvxx/0ZAUvyX7vV/yps3r5YtW6a7d++qTZs26tatm7JmzaoVK1YoQ4YMcnFx0aeffionJyd16dJFTZo00e7du/XJJ5/o+eefT3C9SpUqqVSpUmrbtq22bt2aaJstWrRQeHi4uer9gYYNG2rGjBnasmWLmjZtqsGDB6ty5cqPDKSBf5PF+OcECcDBREZG6rffflOlSpXMOTOS1KBBA73yyivq06fPM+wdAAApiwUVcHhubm4aO3asypcvrzfffFPOzs5avXq1Ll++rIYNGz7r7gEAkKLI3OE/4fjx45oyZYoOHTqk2NhYFS1aVAMGDEh0ywcAAOwZwR0AAIADYUEFAACAAyG4AwAAcCAEdwAAAA6E4A4AAMCBENwBAAA4EII7AAAAB0JwBwAA4EAI7gAAABwIwR0AAIAD+T/e3TKi/q+B2gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LogR_DROP TEST\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "ROC AUC Score (TRAIN): 0.8163\n",
      "ROC AUC Score (TEST): 0.8165\n",
      "\n",
      "Classification Report: LogR_DROP TRAIN\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      0.59      0.74    234158\n",
      "           1       0.25      0.98      0.40     32618\n",
      "\n",
      "    accuracy                           0.64    266776\n",
      "   macro avg       0.62      0.78      0.57    266776\n",
      "weighted avg       0.90      0.64      0.70    266776\n",
      "\n",
      "Classification Report: LogR_DROP TEST\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      0.59      0.74    100241\n",
      "           1       0.25      0.98      0.40     14092\n",
      "\n",
      "    accuracy                           0.64    114333\n",
      "   macro avg       0.62      0.78      0.57    114333\n",
      "weighted avg       0.90      0.64      0.70    114333\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model_selection(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Accuracy indicates the percentage of correct predictions out of the total \n",
    "#number of predictions. However, in an unbalanced dataset, the model may \n",
    "#have a high accuracy even though it cannot correctly predict the minority class. \n",
    "#Therefore, this metric may be misleading in the presence of class imbalance.\n",
    "#Precision indicates the model's ability to correctly identify true positives out \n",
    "#of the total number of positives predicted by the model. This metric is particularly \n",
    "#important when the aim is to minimise false positives.\n",
    "#Recall indicates the model's ability to identify all true positives out of the total \n",
    "#number of true positives in the data. This metric is particularly important when the \n",
    "#goal is to minimise false negatives.\n",
    "#Therefore, to evaluate the performance of a model on an unbalanced dataset, \n",
    "#it is important to consider precision, recall and accuracy together.\n",
    "#In our case, an important metric is recall, since it is best for the company to minimise \n",
    "#false negative predictions and not lose potential interested clients."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LogR</th>\n",
       "      <th>LogR_ROS_minority</th>\n",
       "      <th>LogR_balanced</th>\n",
       "      <th>LogR_RUS_majority</th>\n",
       "      <th>LogR_DROP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Precision</th>\n",
       "      <td>0.439394</td>\n",
       "      <td>0.251489</td>\n",
       "      <td>0.251498</td>\n",
       "      <td>0.251475</td>\n",
       "      <td>0.251498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Recall</th>\n",
       "      <td>0.002058</td>\n",
       "      <td>0.977079</td>\n",
       "      <td>0.977150</td>\n",
       "      <td>0.976653</td>\n",
       "      <td>0.977221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F1_score</th>\n",
       "      <td>0.004097</td>\n",
       "      <td>0.400017</td>\n",
       "      <td>0.400035</td>\n",
       "      <td>0.399965</td>\n",
       "      <td>0.400041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Accuracy</th>\n",
       "      <td>0.876676</td>\n",
       "      <td>0.638739</td>\n",
       "      <td>0.638739</td>\n",
       "      <td>0.638818</td>\n",
       "      <td>0.638722</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               LogR  LogR_ROS_minority  LogR_balanced  LogR_RUS_majority  \\\n",
       "Precision  0.439394           0.251489       0.251498           0.251475   \n",
       "Recall     0.002058           0.977079       0.977150           0.976653   \n",
       "F1_score   0.004097           0.400017       0.400035           0.399965   \n",
       "Accuracy   0.876676           0.638739       0.638739           0.638818   \n",
       "\n",
       "           LogR_DROP  \n",
       "Precision   0.251498  \n",
       "Recall      0.977221  \n",
       "F1_score    0.400041  \n",
       "Accuracy    0.638722  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis=pd.DataFrame.from_dict(analysis)\n",
    "analysis.index= ['Precision', 'Recall', 'F1_score','Accuracy']\n",
    "analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "#LogR is a model with the typical problems of unbalanced datasets: high accuracy \n",
    "#due to the fact that it predicts all data as the majority class because \n",
    "#it does not have enough information to learn the pattern of the minority class, \n",
    "#which is why precision and recall are very low.\n",
    "#The other models using unbalance compensation techniques all exhibit more or less \n",
    "#the same precision, recall (hence f1-score) and accuracy values.\n",
    "#In these models, accuracy is around 0.64 (compared to LogR's 0.88), while recall \n",
    "#rises to 0.98 and precision drops to 0.24. As explained before, it is better \n",
    "#to focus on recall rather than precision because it is better to contact an \n",
    "#uninterested client than to lose an interested one.\n",
    "#ROC AUC score does not seem to be much affected by the type of model selected.\n",
    "#This is why i would opt for the model that not only compensates the unbalance but \n",
    "#also reduces the dataset (LogR_DROP)."
   ]
  },
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       "LogisticRegression(class_weight='balanced')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=df.drop([\"Vintage\",'Vehicle_Age'],axis=1)\n",
    "X=df.drop(\"Response\",axis=1).values\n",
    "y=df[\"Response\"].values\n",
    "X_train, X_test, y_train, y_test=train_test_split(X,y,test_size=0.3, random_state=0)\n",
    "ss=StandardScaler()\n",
    "X_train=ss.fit_transform(X_train)\n",
    "X_test=ss.transform(X_test)\n",
    "lr=LogisticRegression(class_weight='balanced')\n",
    "lr.fit(X_train,y_train)"
   ]
  }
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