{
 "cells": [
  {
   "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",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "\n",
    "import warnings \n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "from sklearn.metrics import roc_auc_score\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.metrics import roc_curve\n",
    "from xgboost import XGBClassifier\n",
    "from lightgbm import LGBMClassifier\n",
    "from catboost import CatBoostClassifier\n",
    "from scipy.stats import randint as sp_randint\n",
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "from mlxtend.classifier import StackingClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "from imblearn.over_sampling import SMOTE\n",
    "\n",
    "plt.style.use('fivethirtyeight')\n",
    "sns.set(color_codes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv(\"train.csv\")\n",
    "test = pd.read_csv(\"test.csv\")"
   ]
  },
  {
   "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>ID</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Region_Code</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>Channel_Code</th>\n",
       "      <th>Vintage</th>\n",
       "      <th>Credit_Product</th>\n",
       "      <th>Avg_Account_Balance</th>\n",
       "      <th>Is_Active</th>\n",
       "      <th>Is_Lead</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NNVBBKZB</td>\n",
       "      <td>Female</td>\n",
       "      <td>73</td>\n",
       "      <td>RG268</td>\n",
       "      <td>Other</td>\n",
       "      <td>X3</td>\n",
       "      <td>43</td>\n",
       "      <td>No</td>\n",
       "      <td>1045696</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>IDD62UNG</td>\n",
       "      <td>Female</td>\n",
       "      <td>30</td>\n",
       "      <td>RG277</td>\n",
       "      <td>Salaried</td>\n",
       "      <td>X1</td>\n",
       "      <td>32</td>\n",
       "      <td>No</td>\n",
       "      <td>581988</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HD3DSEMC</td>\n",
       "      <td>Female</td>\n",
       "      <td>56</td>\n",
       "      <td>RG268</td>\n",
       "      <td>Self_Employed</td>\n",
       "      <td>X3</td>\n",
       "      <td>26</td>\n",
       "      <td>No</td>\n",
       "      <td>1484315</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BF3NC7KV</td>\n",
       "      <td>Male</td>\n",
       "      <td>34</td>\n",
       "      <td>RG270</td>\n",
       "      <td>Salaried</td>\n",
       "      <td>X1</td>\n",
       "      <td>19</td>\n",
       "      <td>No</td>\n",
       "      <td>470454</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TEASRWXV</td>\n",
       "      <td>Female</td>\n",
       "      <td>30</td>\n",
       "      <td>RG282</td>\n",
       "      <td>Salaried</td>\n",
       "      <td>X1</td>\n",
       "      <td>33</td>\n",
       "      <td>No</td>\n",
       "      <td>886787</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         ID  Gender  Age Region_Code     Occupation Channel_Code  Vintage  \\\n",
       "0  NNVBBKZB  Female   73       RG268          Other           X3       43   \n",
       "1  IDD62UNG  Female   30       RG277       Salaried           X1       32   \n",
       "2  HD3DSEMC  Female   56       RG268  Self_Employed           X3       26   \n",
       "3  BF3NC7KV    Male   34       RG270       Salaried           X1       19   \n",
       "4  TEASRWXV  Female   30       RG282       Salaried           X1       33   \n",
       "\n",
       "  Credit_Product  Avg_Account_Balance Is_Active  Is_Lead  \n",
       "0             No              1045696        No        0  \n",
       "1             No               581988        No        0  \n",
       "2             No              1484315       Yes        0  \n",
       "3             No               470454        No        0  \n",
       "4             No               886787        No        0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 245725 entries, 0 to 245724\n",
      "Data columns (total 11 columns):\n",
      " #   Column               Non-Null Count   Dtype \n",
      "---  ------               --------------   ----- \n",
      " 0   ID                   245725 non-null  object\n",
      " 1   Gender               245725 non-null  object\n",
      " 2   Age                  245725 non-null  int64 \n",
      " 3   Region_Code          245725 non-null  object\n",
      " 4   Occupation           245725 non-null  object\n",
      " 5   Channel_Code         245725 non-null  object\n",
      " 6   Vintage              245725 non-null  int64 \n",
      " 7   Credit_Product       216400 non-null  object\n",
      " 8   Avg_Account_Balance  245725 non-null  int64 \n",
      " 9   Is_Active            245725 non-null  object\n",
      " 10  Is_Lead              245725 non-null  int64 \n",
      "dtypes: int64(4), object(7)\n",
      "memory usage: 20.6+ MB\n"
     ]
    }
   ],
   "source": [
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of records in train data 245725\n",
      "Number of records in test data 105312\n"
     ]
    }
   ],
   "source": [
    "print(\"Number of records in train data {}\".format(train.shape[0]))\n",
    "print(\"Number of records in test data {}\".format(test.shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ID', 'Gender', 'Age', 'Region_Code', 'Occupation', 'Channel_Code',\n",
       "       'Vintage', 'Credit_Product', 'Avg_Account_Balance', 'Is_Active',\n",
       "       'Is_Lead'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>1. Exploratory Data Analysis</h2>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>1.1. Missing Values</h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* In train dataset, **`Credit_Product`** there is **11.93 %** missing data points.\n",
    "* In test dataset, **`Credit_Product`** there is **11.89 %** missing data points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID                      0.000000\n",
       "Gender                  0.000000\n",
       "Age                     0.000000\n",
       "Region_Code             0.000000\n",
       "Occupation              0.000000\n",
       "Channel_Code            0.000000\n",
       "Vintage                 0.000000\n",
       "Credit_Product         11.934073\n",
       "Avg_Account_Balance     0.000000\n",
       "Is_Active               0.000000\n",
       "Is_Lead                 0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.isnull().mean()*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID                      0.000000\n",
       "Gender                  0.000000\n",
       "Age                     0.000000\n",
       "Region_Code             0.000000\n",
       "Occupation              0.000000\n",
       "Channel_Code            0.000000\n",
       "Vintage                 0.000000\n",
       "Credit_Product         11.890383\n",
       "Avg_Account_Balance     0.000000\n",
       "Is_Active               0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.isnull().mean()*100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>1.2. Target Variable Distribution</h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The target variable **`Is_Lead`** has imbalance between the two classes **0** (**76.27%**) and **1** (**23.72**). We need to use over-sampling techniques like **`SMOTE`** to balance the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dxgHq6+sT54TDYdLT02lqauo0fvacI0eOcNlll3XXMiVJkvQ+0G3R+2aXX345X//61xPHM2fOJBqNMmLECEKhUGI8Ho8TCoUSv7/Rm4/feE5KSspbzjk7fi4GDUo/p/dL0rnKyspI9hQk6YLTY9G7b98+Dhw4kNiuEI/HCYfDDBkyJPGNaHDmiXAkEiEzM5OTJ0/S3t5Onz59aGhoSGyViEQiNDY2MmTIENra2mhpaWHgwIEMHjyY+vp6PvjBD3a61rk4erSZjo74eVr1ufEvQunC0NBwMtlTkKTASUkJvePDyx77yLJ4PM7y5cs5fvw4sViMjRs3MnbsWIYNG0bfvn3ZtWsXAOXl5eTk5JCamkp2djYVFRUARKNRcnJyAMjNzSUajQJQUVFBdnY2qamp5ObmUl5eDsDzzz9P37593dogSZKknnvSO3LkSO6//35mzJhBW1sb48aNIy8vD4CysjKWLFlCc3Mzo0aNYtasWQCUlJRQXFzM448/ztChQ1m1ahUA8+bNo7i4mEmTJpGRkUFZWRlwZsvE0qVLmTRpEmlpaaxcubKnlidJkqReLBSPx5Pzb/m9VLK3NxQsWJ+Ue0vqGRtWFrq9QZK6Qa/Z3iBJkiQli9ErSZKkwDN6JUmSFHhGryRJkgLP6JUkSVLgGb2SJEkKPKNXkiRJgWf0SpIkKfCMXkmSJAWe0StJkqTAM3olSZIUeEavJEmSAs/olSRJUuAZvZIkSQo8o1eSJEmBZ/RKkiQp8IxeSZIkBZ7RK0mSpMAzeiVJkhR4Rq8kSZICz+iVJElS4Bm9kiRJCjyjV5IkSYFn9EqSJCnwjF5JkiQFntErSZKkwDN6JUmSFHhGryRJkgLP6JUkSVLgGb2SJEkKPKNXkiRJgWf0SpIkKfCMXkmSJAWe0StJkqTAM3olSZIUeEavJEmSAq9bo7e5uZm8vDwOHToEwMaNG8nLyyM/P5+FCxdy+vRpAL72ta/xsY99jMmTJzN58mTWr18PQG1tLYWFhUyYMIG5c+fS0tICwIkTJ7j//vuZOHEihYWFNDQ0AHD69GmKioqYOHEiU6ZMYf/+/d25PEmSJL1PdFv07t69mxkzZnDgwAEA/vSnP/Hkk0/ygx/8gJ/85Cd0dHSwYcMGAGpqali1ahXl5eWUl5dTWFgIwLJlyygoKKCqqorRo0ezdu1aAFavXk12djaVlZVMmzaN0tJSAJ5++mn69+9PZWUlixYtYuHChd21PEmSJL2PdFv0btq0iZKSEiKRCABpaWmUlJSQnp5OKBTiqquuora2FjgTvU888QT5+fk8/PDDtLa2EovF2LlzJ+PHjwdg6tSpVFVVAVBdXU1+fj4AeXl5bNu2jVgsRnV1NXfccQcA119/PU1NTYl7SJIk6cIV7q4Ln336etawYcMYNmwYAE1NTaxfv54VK1bQ0tLChz/8YYqKihg+fDjFxcWsXbuWwsJC0tPTCYfPTDErK4u6ujoA6uvrycrKOrOAcJj09HSampo6jZ8958iRI1x22WVdnvegQel/07ol6d1kZWUkewqSdMHptuj9a+rq6pgzZw533XUXN9xwAwDf+ta3Eq/fe++9LFq0iIKCAkKhUKdz33x8VjweJyUlhXg83uk9Z8fPxdGjzXR0xM/pnPPFvwilC0NDw8lkT0GSAiclJfSODy979NMb9u/fz/Tp05kyZQqf/exngTPfrLZ58+bEe+LxOOFwmMzMTE6ePEl7ezsADQ0Nia0SkUiExsZGANra2mhpaWHgwIEMHjyY+vr6xLUaGxsT50iSJOnC1WPR29zczH333ce8efO49957E+P9+vXj0Ucf5eDBg8TjcdavX8/YsWNJTU0lOzubiooKAKLRKDk5OQDk5uYSjUYBqKioIDs7m9TUVHJzcykvLwfg+eefp2/fvue0tUGSJEnBFIrH4936b/m33XYb//7v/85//Md/UFZWxogRIzq9Nm/ePLZu3cpXv/pVYrEY//RP/8SyZctIS0vj8OHDFBcXc/ToUYYOHcqqVau45JJLeO211yguLubgwYNkZGRQVlbGBz7wAVpbW1m6dCk1NTWkpaXxyCOPMGrUqHOab7K3NxQsWJ+Ue0vqGRtWFrq9QZK6wbttb+j26H2/MXoldSejV5K6R6/a0ytJkiQlg9ErSZKkwDN6JUmSFHhGryRJkgLP6JUkSVLgGb2SJEkKPKNXkiRJgWf0SpIkKfCMXkmSJAWe0StJkqTAM3olSZIUeEavJEmSAs/olSRJUuAZvZIkSQo8o1eSJEmBZ/RKkiQp8IxeSZIkBZ7RK0mSpMAzeiVJkhR4Rq8kSZICz+iVJElS4Bm9kiRJCjyjV5IkSYFn9EqSJCnwjF5JkiQFntErSZKkwDN6JUmSFHhGryRJkgLP6JUkSVLgdSl66+rq3jL2hz/84bxPRpIkSeoO7xi9r732Gq+99hqf/vSnOX78eOK4sbGRBx98sKfmKEmSJP1Nwu/04he+8AX++7//G4Abbrjhf08Khxk/fnz3zkySJEk6T94xep988kkAFi5cyIoVK3pkQpIkSdL59o7Re9aKFSs4fPgwx48fJx6PJ8ZHjRrVbROTJEmSzpcuRe+aNWt48sknGTRoUGIsFArxi1/8otsmJkmSJJ0vXfr0hmg0yjPPPMMvf/nLxK+uBG9zczN5eXkcOnQIgO3bt5Ofn8+4ceN47LHHEu978cUXmTp1KuPHj2fx4sW0tbUBUFtbS2FhIRMmTGDu3Lm0tLQAcOLECe6//34mTpxIYWEhDQ0NAJw+fZqioiImTpzIlClT2L9//7n9aUiSJCmQuhS9Q4cOZfDgwed04d27dzNjxgwOHDgAwKlTp1i0aBFr166loqKCmpoannvuOQCKiopYunQpW7duJR6Ps2nTJgCWLVtGQUEBVVVVjB49mrVr1wKwevVqsrOzqaysZNq0aZSWlgLw9NNP079/fyorK1m0aBELFy48pzlLkiQpmLoUvTfddBMrV65k165dvPDCC4lf72TTpk2UlJQQiUQA2LNnD8OHD+fyyy8nHA6Tn59PVVUVhw8f5tSpU1xzzTUATJ06laqqKmKxGDt37kx8SsTZcYDq6mry8/MByMvLY9u2bcRiMaqrq7njjjsAuP7662lqaqK2tvbc/1QkSZIUKF3a07tlyxaARHTCu+/pPfv09az6+nqysrISx5FIhLq6ureMZ2VlUVdXx7Fjx0hPTyccDncaf/O1wuEw6enpNDU1ve21jhw5wmWXXdaVZUqSJCmguhS9v/zlL//mG3V0dBAKhRLH8XicUCj0V8fP/v5Gbz5+4zkpKSlvOefs+LkYNCj9nN4vSecqKysj2VOQpAtOl6L3qaeeetvxT33qU12+0ZAhQxLfcAbQ0NBAJBJ5y3hjYyORSITMzExOnjxJe3s7ffr0SbwfzjwlbmxsZMiQIbS1tdHS0sLAgQMZPHgw9fX1fPCDH+x0rXNx9GgzHR3xd39jN/AvQunC0NBwMtlTkKTASUkJvePDyy49Bn355ZcTv2pqanjqqad46aWXzmkiY8aM4U9/+hOvvPIK7e3t/OxnPyMnJ4dhw4bRt29fdu3aBUB5eTk5OTmkpqaSnZ1NRUUFcOYTJHJycgDIzc0lGo0CUFFRQXZ2NqmpqeTm5lJeXg7A888/T9++fd3aIEmSpK7/cIo3qqurY/Hixed0o759+/LlL3+Zz33uc7S2tpKbm8uECRMAKCsrY8mSJTQ3NzNq1ChmzZoFQElJCcXFxTz++OMMHTqUVatWATBv3jyKi4uZNGkSGRkZlJWVATBz5kyWLl3KpEmTSEtLY+XKlec0R0mSJAVTKP7GH7F2DiZOnEhlZeX5nk/SJXt7Q8GC9Um5t6SesWFlodsbJKkbvNv2hnPe0xuPx6mpqen009kkSZKk3qxL0fvyyy93Oh46dCgLFizolglJkiRJ59s57ek9fPgwbW1tDB8+vFsnJUmSJJ1PXYreV155hc985jPU19fT0dHBpZdeyhNPPMGIESO6e36SJEnS36xLH1n28MMPM2fOHHbu3MmuXbuYO3cuy5Yt6+65SZIkSedFl6L36NGjTJkyJXF81113cezYsW6blCRJknQ+dSl629vbee211xLHTU1N3TUfSZIk6bzr0p7ef/mXf+Gee+5h4sSJhEIhKioq+OQnP9ndc5MkSZLOiy496c3NzQUgFouxf/9+6urqGDt2bLdOTJIkSTpfuvSkt7i4mMLCQmbNmkVrayvf//73WbRoEd/61re6e36SJEnS36xLT3qPHTvGrFmzAOjbty+zZ8+moaGhWycmSZIknS9d/ka2urq6xHFjYyPxeLzbJiVJkiSdT13a3jB79mzuvPNObr31VkKhENu3b/fHEEuSJOl9o0vRe/fddzN69Gh+/etf06dPH+677z6uuuqq7p6bJEmSdF50KXoBRo4cyciRI7tzLpIkSVK36NKeXkmSJOn9zOiVJElS4Bm9kiRJCjyjV5IkSYFn9EqSJCnwjF5JkiQFntErSZKkwDN6JUmSFHhGryRJkgLP6JUkSVLgGb2SJEkKPKNXkiRJgWf0SpIkKfCMXkmSJAWe0StJkqTAM3olSZIUeEavJEmSAs/olSRJUuAZvZIkSQo8o1eSJEmBZ/RKkiQp8MI9fcMf/vCHrFu3LnF86NAhJk+ezOuvv86uXbvo378/AA8++CBjx47lxRdfZPHixbS0tJCdnc2yZcsIh8PU1tZSVFTE0aNHueKKKygrK2PAgAGcOHGC+fPnc/DgQTIzM1m9ejVZWVk9vUxJkiT1Ij3+pHfatGmUl5dTXl5OWVkZgwYN4sEHH6SmpoZ169YlXhs7diwARUVFLF26lK1btxKPx9m0aRMAy5Yto6CggKqqKkaPHs3atWsBWL16NdnZ2VRWVjJt2jRKS0t7eomSJEnqZZK6veGLX/wiDz30EP3796e2tpZFixaRn5/PmjVr6Ojo4PDhw5w6dYprrrkGgKlTp1JVVUUsFmPnzp2MHz++0zhAdXU1+fn5AOTl5bFt2zZisVhS1idJkqTeoce3N5y1fft2Tp06xcSJEzl48CA33ngjJSUlZGRk8MADD7B582auvPLKTlsTsrKyqKur49ixY6SnpxMOhzuNA9TX1yfOCYfDpKen09TUxODBg7s0r0GD0s/zSiWps6ysjGRPQZIuOEmL3h/84Ad86lOfAuDyyy/n61//euK1mTNnEo1GGTFiBKFQKDEej8cJhUKJ39/ozcdvPCclpesPtI8ebaajI34uSzlv/ItQujA0NJxM9hQkKXBSUkLv+PAyKdsbTp8+zc6dO7ntttsA2LdvH1u3bk28Ho/HCYfDDBkyhIaGhsR4Y2MjkUiEzMxMTp48SXt7OwANDQ1EIhEAIpEIjY2NALS1tdHS0sLAgQN7aGWSJEnqjZISvfv27eNDH/oQF110EXAmcpcvX87x48eJxWJs3LiRsWPHMmzYMPr27cuuXbsAKC8vJycnh9TUVLKzs6moqAAgGo2Sk5MDQG5uLtFoFICKigqys7NJTU3t+UVKkiSp10jK9oaDBw8yZMiQxPHIkSO5//77mTFjBm1tbYwbN468vDwAysrKWLJkCc3NzYwaNYpZs2YBUFJSQnFxMY8//jhDhw5l1apVAMybN4/i4mImTZpERkYGZWVlPb9ASZIk9SqheDyenA2svVSy9/QWLFiflHtL6hkbVha6p1eSukGv3NMrSZIk9SSjV5IkSYFn9EqSJCnwjF5JkiQFntErSZKkwDN6JUmSFHhGryRJkgLP6JUkSVLgGb2SJEkKPKNXkiRJgWf0SpIkKfCMXkmSJAWe0StJkqTAM3olSZIUeEavJEmSAs/olSRJUuAZvZIkSQo8o1eSJEmBZ/RKkiQp8IxeSZIkBZ7RK0mSpMAzeiVJkhR4Rq8kSZICz+iVJElS4IWTPQFJ0oXh0kvSCKf1TfY0JHWzttOtHDt+OtnTeAujV5LUI8Jpfdm1ck6ypyGpm1234NtA74tetzdIkiQp8IxeSZIkBZ7RK0mSpMAzeiVJkhR4Rq8kSZICz+iVJElS4Bm9kiRJCjyjV5IkSYFn9EqSJCnwkvIT2WbOnElTUxPh8JnbP/zww7S0tLBixQpaW1uZOHEiDz30EAAvvvgiixcvpqWlhezsbJYtW0Y4HKa2tpaioiKOHj3KFVdcQVlZGQMGDODEiRPMnz+fgwcPkpmZyerVq8nKykrGMiVJktRL9PiT3ng8zoEDBygvL0/8+od/+AcWLVrE2rVrqaiooKamhueeew6AoqIili5dytatW4nH42zatAmAZcuWUVBQQFVVFaNHj2bt2rUArF69muzsbCorK5k2bRqlpaU9vURJkiT1Mj0evX/84x8BuPfee7njjjtYt24de/bsYfjw4Vx++eWEw2Hy8/Opqqri8OHDnDp1imuuuQaAqVOnUlVVRSwWY+fOnYwfP77TOEB1dTX5+fkA5OXlsW3bNmKxWE8vU5IkSb1Ij29vOHHiBDfddBP/9m//RiwWY9asWcyZM6fTFoRIJEJdXR319fWdxrOysqirq+PYsWOkp6cntkecHQc6nRMOh0lPT6epqYnBgwd3aX6DBqWfr6VK0tvKyspI9hQkqVv1xq9zPR691157Lddee23i+O6772bNmjVcd911ibF4PE4oFKKjo4NQKPSW8bO/v9Gbj994TkpK1x9oHz3aTEdHvMvvP5964/8gks6/hoaTyZ5CUvg1TrpwJOPrXEpK6B0fXvb49obnn3+eHTt2JI7j8TjDhg2joaEhMdbQ0EAkEmHIkCGdxhsbG4lEImRmZnLy5Ena29s7vR/OPCVubGwEoK2tjZaWFgYOHNgDK5MkSVJv1ePRe/LkSVauXElrayvNzc38+Mc/5l//9V/505/+xCuvvEJ7ezs/+9nPyMnJYdiwYfTt25ddu3YBUF5eTk5ODqmpqWRnZ1NRUQFANBolJycHgNzcXKLRKAAVFRVkZ2eTmpra08uUJElSL9Lj2xs+9rGPsXv3bu688046OjooKCjg2muv5ctf/jKf+9znaG1tJTc3lwkTJgBQVlbGkiVLaG5uZtSoUcyaNQuAkpISiouLefzxxxk6dCirVq0CYN68eRQXFzNp0iQyMjIoKyvr6SVKkiSplwnF4/HkbGDtpZK9p7dgwfqk3FtSz9iwsvCC3tO7a+WcZE9DUje7bsG33dMrSZIkJYPRK0mSpMAzeiVJkhR4Rq8kSZICz+iVJElS4Bm9kiRJCjyjV5IkSYFn9EqSJCnwjF5JkiQFntErSZKkwDN6JUmSFHhGryRJkgLP6JUkSVLgGb2SJEkKPKNXkiRJgWf0SpIkKfCMXkmSJAWe0StJkqTAM3olSZIUeEavJEmSAs/olSRJUuAZvZIkSQo8o1eSJEmBZ/RKkiQp8IxeSZIkBZ7RK0mSpMAzeiVJkhR4Rq8kSZICz+iVJElS4Bm9kiRJCjyjV5IkSYFn9EqSJCnwjF5JkiQFntErSZKkwDN6JUmSFHhGryRJkgIvnIybfu1rX6OyshKA3NxcFixYwMKFC9m1axf9+/cH4MEHH2Ts2LG8+OKLLF68mJaWFrKzs1m2bBnhcJja2lqKioo4evQoV1xxBWVlZQwYMIATJ04wf/58Dh48SGZmJqtXryYrKysZy5QkSVIv0eNPerdv385//dd/8eMf/5hoNMoLL7zAs88+S01NDevWraO8vJzy8nLGjh0LQFFREUuXLmXr1q3E43E2bdoEwLJlyygoKKCqqorRo0ezdu1aAFavXk12djaVlZVMmzaN0tLSnl6iJEmSepkej96srCyKi4tJS0sjNTWVESNGUFtbS21tLYsWLSI/P581a9bQ0dHB4cOHOXXqFNdccw0AU6dOpaqqilgsxs6dOxk/fnyncYDq6mry8/MByMvLY9u2bcRisZ5epiRJknqRHt/ecOWVVyb++8CBA1RWVrJ+/Xp++9vfUlJSQkZGBg888ACbN2/myiuv7LQ1ISsri7q6Oo4dO0Z6ejrhcLjTOEB9fX3inHA4THp6Ok1NTQwePLhL8xs0KP18LVWS3lZWVkaypyBJ3ao3fp1Lyp5egP/5n//hgQceYMGCBfzd3/0dX//61xOvzZw5k2g0yogRIwiFQonxeDxOKBRK/P5Gbz5+4zkpKV1/oH30aDMdHfFzXM350Rv/B5F0/jU0nEz2FJLCr3HShSMZX+dSUkLv+PAyKZ/esGvXLmbPns0XvvAFpkyZwr59+9i6dWvi9Xg8TjgcZsiQITQ0NCTGGxsbiUQiZGZmcvLkSdrb2wFoaGggEokAEIlEaGxsBKCtrY2WlhYGDhzYc4uTJElSr9Pj0fvqq6/y2c9+lrKyMiZNmgScidzly5dz/PhxYrEYGzduZOzYsQwbNoy+ffuya9cuAMrLy8nJySE1NZXs7GwqKioAiEaj5OTkAGc+DSIajQJQUVFBdnY2qampPb1MSZIk9SI9vr3hySefpLW1lS9/+cuJsenTp3P//fczY8YM2traGDduHHl5eQCUlZWxZMkSmpubGTVqFLNmzQKgpKSE4uJiHn/8cYYOHcqqVasAmDdvHsXFxUyaNImMjAzKysp6eomSJEnqZULxeDw5G1h7qWTv6S1YsD4p95bUMzasLLyg9/TuWjkn2dOQ1M2uW/Bt9/RKkiRJyWD0SpIkKfCMXkmSJAWe0StJkqTAM3olSZIUeEavJEmSAs/olSRJUuAZvZIkSQo8o1eSJEmBZ/RKkiQp8IxeSZIkBZ7RK0mSpMAzeiVJkhR4Rq8kSZICz+iVJElS4Bm9kiRJCjyjV5IkSYFn9EqSJCnwjF5JkiQFntErSZKkwDN6JUmSFHhGryRJkgLP6JUkSVLgGb2SJEkKPKNXkiRJgWf0SpIkKfCMXkmSJAWe0StJkqTAM3olSZIUeEavJEmSAs/olSRJUuAZvZIkSQo8o1eSJEmBZ/RKkiQp8IxeSZIkBV4go/enP/0pt99+O+PGjWP9+vXJno4kSZKSLJzsCZxvdXV1PPbYY2zZsoW0tDSmT5/ODTfcwN///d8ne2qSJElKksBF7/bt27nxxhsZOHAgAOPHj6eqqooHH3ywS+enpIS6cXbv7v+7dEBS7y+p+yX760wypV08KNlTkNQDkvF17t3uGbjora+vJysrK3EciUTYs2dPl8+/NMnRuWbhnUm9v6TuN2hQerKnkDT////5v8megqQe0Bu/zgVuT29HRweh0P+Wfjwe73QsSZKkC0/gonfIkCE0NDQkjhsaGohEIkmckSRJkpItcNF78803s2PHDpqamnj99dd55plnyMnJSfa0JEmSlESB29M7ePBgHnroIWbNmkUsFuPuu+/m6quvTva0JEmSlESheDweT/YkJEmSpO4UuO0NkiRJ0psZvZIkSQo8o1eSJEmBZ/RKkiQp8IxeSZIkBZ7RKyXBT3/6U26//XbGjRvH+vXrkz0dSTrvmpubycvL49ChQ8meigQYvVKPq6ur47HHHmPDhg1Eo1E2btzIH/7wh2RPS5LOm927dzNjxgwOHDiQ7KlICUav1MO2b9/OjTfeyMCBA7nooosYP348VVVVyZ6WJJ03mzZtoqSkhEgkkuypSAmB+4lsUm9XX19PVlZW4jgSibBnz54kzkiSzq/S0tJkT0F6C5/0Sj2so6ODUCiUOI7H452OJUnS+Wf0Sj1syJAhNDQ0JI4bGhr8J0BJkrqZ0Sv1sJtvvpkdO3bQ1NTE66+/zjPPPENOTk6ypyVJUqC5p1fqYYMHD+ahhx5i1qxZxGIx7r77bq6++upkT0uSpEALxePxeLInIUmSJHUntzdIkiQp8IxeSZIkBZ7RK0mSpMAzeiVJkhR4Rq8kSZICz+iVJElS4Bm9ktSL3Xbbbezdu/ecz/vNb35DXl5eN8zojCeffJLi4uJuu74knW9GryRJkgLPn8gmSe8Da9as4dlnnyU1NZVLL72UFStWEIlE3tO1Tp48SWlpKS+//DKxWIybbrqJBQsWEA6H2bx5Mxs3biQWi3H8+HE+/elPU1BQQCwW45FHHmH79u0MGjSIQYMGkZGRcZ5XKUndxye9ktTLtba28r3vfY8f/ehHbNmyhY9+9KPs2bPnPV9v+fLljBo1ii1bthCNRjl27BhPPfUULS0t/PCHP+Sb3/wm0WiUxx57jEcffRSADRs2cODAAX7+85/zne98h1dfffV8LU+SeoRPeiWpl0tLS2PkyJFMmTKFnJwccnJyuOmmm97z9aqrq9m7dy+bN28G4NSpUwAMGDCAb3zjGzz33HMcOHCAl156ib/85S8A7Nixg7y8PNLS0khLSyM/P599+/b97YuTpB5i9EpSLxcKhVi3bh179+5lx44dLF++nFtvvZUFCxa8p+t1dHTwla98hREjRgBw4sQJQqEQR44c4Z577uETn/gE1113HRMmTOBXv/rV216jT58+73k9kpQMbm+QpF7u9ddfJy8vjxEjRvDAAw8we/bs9/SJDmfdcsstfPe73yUej3P69Gnmzp3LunXrqKmpITMzk8985jPccsstieBtb2/n1ltvJRqN0traSmtrKxUVFedreZLUI3zSK0m9XP/+/Zk4cSJ33XUXF110Ef369WPJkiXvet7+/fu59tprO41t27aNxYsXU1paSn5+PrFYjJtvvpk5c+bQ1tbG5s2bmTBhAqFQiI985CNkZmbyyiuvMH36dP785z+Tl5fHwIEDGT58eHctV5K6RSgej8eTPQlJkiSpO/mkV5LepwoKCmhpaXnb19avX096enoPz0iSei+f9EqSJCnw/EY2SZIkBZ7RK0mSpMAzeiVJkhR4Rq8kSZIC7/8BnjXFVkYCdTQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "sns.countplot(x = \"Is_Lead\", data=train)\n",
    "plt.title(\"Is_Lead Distribution\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    76.279174\n",
       "1    23.720826\n",
       "Name: Is_Lead, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['Is_Lead'].value_counts(normalize=True)*100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>1.3. Numerical Features Distribution</h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following charts on Numerical Features provide us witth the following insights :\n",
    "* The Age distribution in train dataset and test dataset is almost similar\n",
    "* Avg_Account_Balance feature is skewed.\n",
    "* Customers aged between 40-60 have greater interest in credit cards. \n",
    "* Customers in their 20s and 30s and less interested\n",
    "* The Avg_Account_Balance, Vintage distribution in train dataset and test dataset is almost similar. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x1440 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "numerical_feat = [feat for feat in train.columns if (train[feat].dtypes=='int64') & ~(feat=='Is_Lead')]\n",
    "interested = train['Is_Lead'] == 1\n",
    "\n",
    "fig, axs = plt.subplots(ncols=2, nrows=len(numerical_feat), figsize=(20,20))\n",
    "plt.subplots_adjust(right=1.5)\n",
    "\n",
    "for i , col in enumerate(numerical_feat) :\n",
    "    \n",
    "    # Distribution of Is Lead in feature\n",
    "    sns.distplot(train[~interested][col], label='Not Interested', hist=True, color='#e74c3c', ax=axs[i][0])\n",
    "    sns.distplot(train[interested][col], label='Interested', hist=True, color='#2ecc71', ax=axs[i][0])\n",
    "    axs[i][0].set_xlabel('')\n",
    "    axs[i][0].tick_params(axis='x', labelsize=20)\n",
    "    axs[i][0].tick_params(axis='y', labelsize=20)\n",
    "    axs[i][0].legend(loc='upper right', prop={'size': 20})\n",
    "    axs[i][0].set_title('Distribution of Is Lead in {}'.format(col), size=20, y=1.05)\n",
    "    \n",
    "    # Distribution of feature in dataset\n",
    "    sns.distplot(train[col], label='Training Set', hist=False, color='#e74c3c', ax=axs[i][1])\n",
    "    sns.distplot(test[col], label='Test Set', hist=False, color='#2ecc71', ax=axs[i][1])\n",
    "    axs[i][1].set_xlabel('')\n",
    "    axs[i][1].tick_params(axis='x', labelsize=20)\n",
    "    axs[i][1].tick_params(axis='y', labelsize=20)\n",
    "    axs[i][1].legend(loc='upper right', prop={'size': 20})\n",
    "    axs[i][1].set_title('Distribution of {} in dataset'.format(col), size=20, y=1.05)\n",
    "        \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Age feature has a skewness of 0.619 and kurtosis of -0.441 in train set\n",
      "Age feature has a skewness of 0.628 and kurtosis of -0.423 in test set\n",
      "\n",
      "Vintage feature has a skewness of 0.79 and kurtosis of -0.697 in train set\n",
      "Vintage feature has a skewness of 0.791 and kurtosis of -0.689 in test set\n",
      "\n",
      "Avg_Account_Balance feature has a skewness of 2.969 and kurtosis of 14.305 in train set\n",
      "Avg_Account_Balance feature has a skewness of 2.998 and kurtosis of 14.43 in test set\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for feat in numerical_feat :    \n",
    "    print('{} feature has a skewness of {} and kurtosis of {} in train set'.format(feat, train[feat].skew().round(3)\n",
    "                                                                      , train[feat].kurtosis().round(3)))\n",
    "    print('{} feature has a skewness of {} and kurtosis of {} in test set'.format(feat, test[feat].skew().round(3)\n",
    "                                                                      , test[feat].kurtosis().round(3)))\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>1.4. Categorical Features Distribution</h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following charts on Categorical Features provide us witth the following insights :\n",
    "* Salaried person are less likely to take up credit cards. Only among Entrepreneur the number of customers interested to take up credit cards is more\n",
    "* Male customers are present more in the dataset than females.\n",
    "* Customers who were active in last 3 months have slightly more interest in credit cards then other customers\n",
    "* Number of Customers having credit products who are interested in Credit Card is more than those who donot have a Credit Product. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x1440 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "categorical_feat = [col for col in train.columns if (train[col].dtypes=='object') & (col!='ID')]\n",
    "\n",
    "fig, axs = plt.subplots(ncols=3, nrows=2, figsize=(20,20))\n",
    "plt.subplots_adjust(right=1.5)\n",
    "\n",
    "for i , col in enumerate(categorical_feat) :\n",
    "    plt.subplot(2, 3, i+1)\n",
    "    # Distribution of Is Lead in feature\n",
    "    sns.countplot(x= col, data = train, hue='Is_Lead')\n",
    "    plt.xlabel('')\n",
    "    plt.ylabel('')\n",
    "    plt.tick_params(axis='x', labelsize=20)\n",
    "    plt.tick_params(axis='y', labelsize=20)\n",
    "    plt.legend(loc='upper right', prop={'size': 20})\n",
    "    plt.title('Count of Is Lead in {}'.format(col), size=20, y=1.05)\n",
    "        \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>1.5. Correlations</h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* **`Age`** and **`Vintage`** has highest correlation (__0.63__) in train dataset and (__0.62__) in test dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(nrows=2, figsize=(20, 20))\n",
    "\n",
    "sns.heatmap(train.drop(['ID'], axis=1).corr(), ax=axs[0], annot=True, square=True, cmap='coolwarm', annot_kws={'size': 12})\n",
    "sns.heatmap(test.drop(['ID'], axis=1).corr(), ax=axs[1], annot=True, square=True, cmap='coolwarm', annot_kws={'size': 12})\n",
    "\n",
    "for i in range(2):    \n",
    "    axs[i].tick_params(axis='x', labelsize=10)\n",
    "    axs[i].tick_params(axis='y', labelsize=10)\n",
    "    \n",
    "axs[0].set_title('Training Set Correlations', size=15)\n",
    "axs[1].set_title('Test Set Correlations', size=15)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>1.6. Outliers</h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the train dataset **`Avg_Account_Balance`** has outliers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(ncols=3, nrows=1, figsize=(10,6))\n",
    "plt.subplots_adjust(right=1.5)\n",
    "\n",
    "for i , col in enumerate(numerical_feat) :\n",
    "    \n",
    "    plt.subplot(1, 3, i+1)\n",
    "    sns.boxplot(x=col, data=train)\n",
    "    plt.xlabel('')\n",
    "    plt.ylabel('')\n",
    "    plt.tick_params(axis='x', labelsize=12)\n",
    "    plt.tick_params(axis='y', labelsize=12)\n",
    "    #plt.legend(loc='upper right', prop={'size': 20})\n",
    "    plt.title('Boxplot of Is Lead in {}'.format(col), size=12, y=1.05)\n",
    "        \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b><i>Data Insights</i></b>\n",
    "\n",
    "* Age 40-65, salaried are interested to buy credit card. Most of the Entrepreneurs also seem interested but not all.\n",
    "* Customers who already have any credit product are likely to buy credit card.\n",
    "* Salaried people with Channel code X1 haven't shown much interest in the past.\n",
    "* There are only 2 Entrepreneurs who don't have any credit product.\n",
    "* 66% of total Customers falling in Entrepreneural category in Occupation have shown interest in the past followed by 27.6% Self Employed, 24.5% in Others category and 16% Salaried."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_customers_by_occu = train.groupby(['Occupation'])['ID'].count().reset_index()\n",
    "total_customers_by_occu.rename(columns={'ID' : 'Total Customers'}, inplace=True)\n",
    "num_customers_by_occupation = train.groupby(['Is_Lead', 'Occupation'])['ID'].count().reset_index()\n",
    "num_customers_by_occupation = pd.merge(num_customers_by_occupation, total_customers_by_occu , how='inner', on='Occupation')\n",
    "num_customers_by_occupation['% of Total'] = round((num_customers_by_occupation['ID'] / num_customers_by_occupation['Total Customers']) * 100, 1)\n",
    "num_customers_by_occupation = num_customers_by_occupation.sort_values(by=['Is_Lead', '% of Total'], ascending = [False, False])\n",
    "\n",
    "num_customers_by_occupation.drop(columns=['ID', 'Total Customers'], inplace=True, axis=1)\n",
    "df = pd.crosstab(num_customers_by_occupation['Occupation'], num_customers_by_occupation['Is_Lead'], values=num_customers_by_occupation['% of Total'], aggfunc=sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to plot stacked bars with annotations\n",
    "\n",
    "def plot_stack_bars(df, title_,  y_label, size_=(20,10), rot_=0, legend_='upper_right'):\n",
    "    \n",
    "    ax = df.plot(kind='bar', stacked=True, figsize=size_, rot=rot_, title=title_)\n",
    "    \n",
    "    annotate_plot(ax, textsize=15)\n",
    "    \n",
    "    plt.legend([0, 1], loc=legend_)\n",
    "    plt.ylabel(y_label)\n",
    "    plt.show()\n",
    "\n",
    "def annotate_plot(ax, pad=1, colour='white', textsize=14):\n",
    "    \n",
    "    for i in ax.patches:\n",
    "        \n",
    "        val = str(round(i.get_height(),1))\n",
    "        \n",
    "        if val=='0.0':\n",
    "            continue\n",
    "        ax.annotate(val , ((i.get_x()+i.get_width()/2)*pad-0.05, (i.get_y()+i.get_height()/2)*pad), color=colour, size=textsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vbs3y//36Zq091ZcOAAAMe7ZXA8AI1LLznhk3b/8s+/FXsnHx79O5fFGWXvrFNLaMy4R9D93Ub+IBR6Zlzt7pWrPiCcccM3u3dDz6YLrXrdrs1+rBfAwAAGCYEjoCwAjUtWZZllz0mXSuWPynxp6epKEhjeMmJUmaJs/IrGPfnWWXfSk9XR1POGbL7N3SsXzRYJUMAACMILZXA8AIVNvQlg2/v61f29TDj0tD85hs+OMdSZLZr3l/1t7582x8+HdPOF7T5BlpGj85E/Z5bqa/+E1pbBmbDQt+m5U//3a621oH5RkAAIDhy0pHABgFJjzjsMw4+uSsvuWydK54OFMOOy5NE6dn5TXf3a7Pt8zaLUnvwTFLf3RWll32lYyZuWvmnnxGGppbBrN0AABgGLLSEQBGuEkHHZ3Zx52atntuyMqrvp0xM3fNjJe+OYsv+Oek1rVdY2x44M48eNY7UtuwdlNbx/ceyu4fPCcT9jkk68qbB6t8AABgGBI6AsAINu3IEzLjqJOy+pf/mxVXfCNJMvGAF6ahZVx2+ct/2dSvYczYTDvyLzLxmS/MonM+vNWxNg8ck6S7bVVqG9rSNGXm4D0AAAAwLAkdAWCEmvr812bGUSdl5TXfyarrv7+pfc0vL0/b3df16zv35DOy/ne3ZvXNl211rCmHHZdpL3x9HvryqUmtO0nSPGV2miZOTefyhYP3EAAAo1DTxKmZ8Wdvy/i9D05Dc0s2Pnx/Vlx1fjqXLczep8/f6md6emp54LMnbn3AxubMOPrkTDrwxWkcMzbtC+/N8p+el67VSwfxKRjthI4AMAK17LRHZhx9ctbccVXW3n5lmiZO23Sv1rEhXa2P9P9Ad1dqG9rStWbZpqamidNS62hPT2d71v/+15lx1EmZ/er3ZdWNP0jj+EmZdey70r7w3mx44DdD9VgAAKNAQ3Z+wz8kacij3/vX1DraM/3Fb8rck87IonM+lAVfeHe/3k2TpmeXt34yq391+TZHnH3cezN+r4Oy9EdfSPf61Zl17Lsz540fzaJzPzLIz8JoJnQEgBFo4gFHpqGxKVMOflmmHPyyfvdWXn1hVt2w9X8h39weH/5GWq+9KK3XXZyuVY9myYWfzIyj35pd3/mv6enuzvr7b82KK781WI8AADAqtey8Z8bN2z8Lv/Y36VzxcJJk6aVfzJ4f+VYm7Hto2u66pl//2ce/Px3LF6Z1GwcENk/bOZOf82dZfMEn0r7g7iTJ8svPyZyT/jnN0+ds+Y/RUBGhIwCMQK1XX5jWqy/c7v4Lv/qBLdr++JkT+l1vXHx/lvx/n3jatQEAsG1da5ZlyUWfSeeKxX9q7OlJGhrSOG5Sv74T9j004/d6Th7+xt8n6dnqeOP3fk66163eFDgmSefKxVn45VMHo3zYROgIAAAAsIOobWjLht/f1q9t6uHHpaF5TDb88Y5+7dNf+ua03X1tOpYu2OZ4Y2bsks5Vj2bis16UaS94fZomTEn7ovuy4mf/ne61KwflGSBJGutdAAAAAABbN+EZh2XG0Sdn9S2XbdpunSTjdj8gLTvvmVU3/nDAzzeOHZ8xM3fNtCP+PCt+9t959AefT9PEaZl78hlpaBoz2OUzigkdAQAAAHZAkw46Ojuf8Pdpu+fGrLzq2/3vPfulaX/o3n5B5FZ1d6dp3MQ8Ov/zaV9wdzYuKvPo/P/ImOlzMn7fQwaxekY7oSMAAADADmbakSdkp+M/kDW3XZFll56dx7+zccK+h6XtnhuecJyutStS69iQrtVLN7XV1q9JbUNbxkzbqeqyYROhIwAAAMAOZOrzX5sZR52Uldd8Jyuu+MYW98fM3DXNk6al/cG7nnCs9oX3prGld4v1Y5omTkvjhMnpbH200rphc0JHAAAAgB1Ey057ZMbRJ2fNHVdl7e1XpmnitE2/GsaM7e2z816pdXWkc+XirY7R23dckqT9oXuy4aF7stPrPpyxu+6Xlp32yE6v+3A6VyzO+scdWANVcno1AAAAwA5i4gFHpqGxKVMOflmmHPyyfvdWXn1hVt0wP82TpqfWvm6bY+zx4W+k9dqL0nrdxUmSRy/+XGYc8/bMedP/S0NjczY8+JssvfTspNY1qM/C6CZ0BAAAANhBtF59YVqvvnDAPqtvvSyrb71sm/f/+JkT+l3XNq7P8p98Nct/8tVKaoTtYXs1AAAAAFApoSMAAAAAUCmhIwAAAABQKaEjAAAAAFApoSMAAAAAUCmhIwAAAABQKaEjAAAAAFApoSMAAAAAUCmhIwAAAABQqeZ6FwAAADx5tc6O7H36/HqXwShR6+yodwkADDNCRwAAGIYax7Tk+NMuqXcZjBKXnfnaJBvrXQYAw4jt1QAAAABApYSOAAAAAEClhI4AAAAAQKWEjgAAAABApYSOAAAAAEClhI4AAAAAQKWEjgAAAABApYSOAAAAAEClhI4AAAAAQKWEjgAAAABApYSOAAAAAEClhI4AAAAAQKWEjgAAAABApYSOAAAAAEClhI4AAAAAQKWEjgAAAABApZrr8aVFUbw1ycf6Li8vy/LviqI4OMl5SaYkuTbJqWVZdtWjPgAAAADgqRvylY5FUUxIcnaSlyZ5TpIXF0VxTJILknygLMv9kjQkOWWoawMAAAAAnr56bK9u6vveiUnG9P3qTDK+LMub+/qcn+TEOtQGAAAAADxNQ769uizLtUVR/FOS+5KsT3JNko4kSzbrtiTJvCcz7syZkyqrERg8s2dPrncJAIPGHAeMZOY4YKQzz1VryEPHoigOSvKuJHskWZ3ebdXHJunZrFtDktqTGXfFirbUaj1P3JFN/GWiHpYtW1vvEhhFzHMMNXMcQ8kcx1AzxzGUzHHUg3nuyWlsbBhwEWA9tle/IslVZVkuLctyY3q3Uh+VZO5mfeYkWTz0pQEAAAAAT1c9Qsc7kxxTFMXEoigakhyf3i3W7UVRHNnX521JLq9DbQAAAADA0zTkoWNZllck+U6SXyf5TXoPkvnXJCcn+c+iKO5LMim9J1wDAAAAAMPMkL/TMUnKsvy3JP/2uOY7kzyvDuUAAAAAABWqx/ZqAAAAAGAEEzoCAAAAAJUSOgIAAAAAlRI6AgAAAACVEjoCAAAAAJUSOgIAAAAAlRI6AgAAAACVEjoCAAAAAJUSOgIAAAAAlRI6AgAAAACVEjoCAAAAAJUSOgIAAAAAlRI6AgAAAACVEjoCAAAAAJUSOgIAAAAAlRI6AgAAAACVEjoCAAAAAJVqrncBADBYap0d2fv0+fUug1Gi1tlR7xIAAGCHIXQEYMRqHNOS40+7pN5lMEpcduZrk2ysdxkAALBDsL0aAAAAAKiU0BEAAAAAqJTQEQAAAAColNARAAAAAKiU0BEAAAAAqJTQEQAAAAColNARAAAAAKiU0BEAAAAAqJTQEQAAAAColNARAAAAAKiU0BEAAAAAqJTQEQAAAAColNARAAAAAKiU0BEAAAAAqFRzvQsAAAAA2FytsyN7nz6/3mUwitQ6O+pdwogjdAQAAAB2KI1jWnL8aZfUuwxGkcvOfG2SjfUuY0SxvRoAAAAAqJTQEQAAAAColNARAAAAAKiU0BEAAAAAqJTQEQAAAAColNARAAAAAKiU0BEAAAAAqJTQEQAAAAColNARAAAAAKiU0BEAAAAAqJTQEQAAAAColNARAAAAAKiU0BEAAAAAqJTQEQAAAAColNARAAAAAKiU0BEAAAAAqFRzvQuAept88Msy9fmvS/OUmelcvigrrvqftC+4O0kyZta8zHz5OzNut2em1t6WtXf+PK3XXJSk5wnHnfPm09O+8L6sumH+ID8BAAAAwI7FSkdGtUnPPiqzXnFKVt/0wyw69yPZ8NA9mfPGj6Z56uw0jp+cXd76qdQ2tOXh8/4uy396bqYcdlymHnH8wIM2NmfWq9+XCfscMjQPAQAAALCDsdKRUW36S96UVTf9KGvv/HmSZOWV38r4PQ/M2HlFWmbumtrG9Vl66dlJrTudKxdn9S2XZdy8Iqtv2fp4LXP2yuxXvy+NYyeme0PbED4JAAAAwI5D6MioNWbmrhkzbae03XPDZq09efi8v0uSTH3H57KuvDWpdW+6u+r67w045vg9D8qGB+9K63Xfy7xTzhqMsgEAAAB2eEJHRq0xM+YmSRrHTcjck89Iy+zd07Hi4az8+QXZ+HCZMTPmZt29N2Xmse/OxP2PSG1je9ru+kVW3XRJ0lPb6pirb75kKB8BAAAAYIfknY6MWo1jJyRJdjr+g1lzx5VZ8t1Pp2PZQ5n71jMyZuauaRw7IdOOPCGpdeeRiz+XVTfMz9QXvD7TX3xinSsHAAAA2LFZ6cio1dPdlSRpvWF+1v32+iTJip+em/G7PTNTDn1Ferq70rF0QVZceX6SpOORB9I0cWqmv+gNab32onqVDQAAALDDs9KRUatr7cokSceyh/q1dyx/OM3Tdk732pVbubcojeMmpnH8pCGrEwAAAGC4EToyanU88sfUOjZk7Nx9+7W3zJqXrtZH0r7w3oydu0//e7N3S/eGtaltWDeUpQIAAAAMK0JHRq2ero6svvXHmXHUWzKhOCLN0+dm5jHvSPP0nbPm1/+XVTdfmpad9uhrm5MJxRGZ9sK/yOpbf5KkJ0nSOGFKGvreDQkAAABAL+90ZFRrvea76encmFkvf2caJ05Nx6MP5pHvfDqdKxcnSZZc+MnMfNlfZt6hr0ht/ZqsvuXSrLrhB5s+v+s7/y3tC36bZT/+cr0eAQAAAGCHI3Rk1Ft14w+z6sYfbvXexkVlFn/r9G1+duFX/vop3QMAAAAYyWyvBgAAAAAqJXQEAAAAAColdAQAAAAAKiV0BAAAAAAqJXQEAAAAAColdAQAAAAAKiV0BAAAAAAqJXQEAAAAAColdAQAAAAAKiV0BAAAAAAqJXQEAAAAAColdAQAAAAAKiV0BAAAAAAqJXQEAAAAAColdAQAAAAAKiV0BAAAAAAqJXQEAAAAAColdAQAAAAAKiV0BAAAAAAqJXQEAAAAAColdAQAAAAAKiV0BAAAAAAqJXQEAAAAAColdAQAAAAAKiV0BAAAAAAqJXQEAAAAAColdAQAAAAAKiV0BAAAAAAqJXQEAAAAAColdAQAAAAAKiV0BAAAAAAq1VyPLy2K4vgkn0gyMckVZVl+qCiKY5KclWR8kovKsvx4PWoDAAAAAJ6eIV/pWBTF3km+luR1SQ5KckhRFK9K8s0kr03yzCSH97UBAAAAAMNMPbZXvz69KxkXlWXZmeRNSdYnub8sywfKsuxKckGSE+tQGwAAAADwNNVje/W+STqKorg0ye5Jfpzkt0mWbNZnSZJ5dagNAAAAAHia6hE6Nid5SZKjkrQluTTJhiQ9m/VpSFJ7MoPOnDmpovKAwTR79uR6lwAwaMxxwEhmjgNGOvNcteoROj6S5MqyLJclSVEUP0zvVuruzfrMSbL4yQy6YkVbarWeJ+7IJv4yUQ/Llq2tdwmMIuY5hpo5jqFkjmOomeMYSuY46sE89+Q0NjYMuAiwHqHjj5N8qyiKaUnWJnlVku8n+WhRFPsmeSDJSek9WAYAAAAAGGaG/CCZsixvSfLvSa5Pck+SBUm+muQdSeb3td2X3iASAAAAABhm6rHSMWVZfjNbrmS8Kslz6lAOAAAAAFChIV/pCAAAAACMbEJHAAAAAKBSQkcAAAAAoFJCRwAAAACgUkJHAAAAAKBSQkcAAAAAoFJCRwAAAACgUkJHAAAAAKBSzdu6URTFQQN9sCzL31RfDgAAAAAw3G0zdEzykwHu9STZveJaAAAAAIARYJuhY1mWuw1lIQAAAADAyDDQSsckSVEUM5KcnGRSkoYkTUn2Lcvy7YNcGwAAAAAwDD1h6Jjke0m6kuyf5OdJXpbk2sEsCgAAAAAYvrbn9Oo9k7wyve94/EKSI5PsN4g1AQAAAADD2PaEjo+UZdmT5P4kzyrLcmGSlsEtCwAAAAAYrrZne/Xyoig+kuSXSf6pKIrWJBMHtywAAAAAYLjanpWO702SsiyvS3JXkn9P8tHBLAoAAAAAGL62J3T887Isz0qSsixPK8vy2el9zyMAAAAAwBa2ub26KIpTkoxP8vdFUYzb7NaYJB9IcuYg1195n5wAACAASURBVAYAAAAADEMDvdOxIcnhSSb0/fcxXUn+cTCLAgAAAACGr22GjmVZnpPknKIoTijLcv4Q1gQAAAAADGPbc3r1T4uiODvJq9K7tfqKJKeVZbl2UCsDAAAAAIal7TlI5swkU5K8JcmbkoxNcvZgFgUAAAAADF/bs9LxBUkOLsuyJ0mKovhlkt8OalUAAAAAwLC1PSsdmx533ZCkexBqAQAAAABGgO1Z6Xh1kguLovhakp4kf53k2sEsCgAAAAAYvrZnpePfJvlDkrPS+y7HBUlOG8yiAAAAAIDha5srHYui+FBZll8sy7Izycf7fgEAAAAADGiglY5vH7IqAAAAAIARY3u2VwMAAAAAbLeBDpLZuyiKS7d1syzLPx+EegAAAACAYW6g0HF1kvlDVQgAAAAAMDIMFDquKMvyW0NWCQAAAAAwIgz0TseGIasCAAAAABgxBgodTxqyKgAAAACAEWOboWNZlvcOZSEAAAAAwMgw0EpHAAAAAIAnbZuhY1EUr+v779ihKwcAAAAAGO4GWun46b7/3jQUhQAAAAAAI0PzAPfWFEXxuyS7FkXxm8ffLMvyoMErCwAAAAAYrgYKHV+Z5LlJvpHkg0NTDgAAAAAw3G0zdCzLcm2Sa4uieHWSxUkOTTImyS199wAAAAAAtrA9p1dPTfK7JF9IclaSBUVRvHBQqwIAAAAAhq3tCR3PTHJyWZbP7XuP4xvSGz4CAAAAAGxhe0LHyWVZ/uKxi7Isf55kwuCVBAAAAAAMZ9sTOvYURbHHYxdFUeyZpHvQKgIAAAAAhrWBTq9+zKeS3FwUxZVJepK8Isn7BrUqAAAAAGDYesKVjmVZ/ijJUUluTHJrkqPKspw/yHUBAAAAAMPU9qx0TFmWZZJykGsBAAAAAEaA7XmnIwAAAADAdhM6AgAAAACVEjoCAAAAAJXarnc6JklRFMck+UKS8Uk+XZbl+YNVFAAAAAAwfG1zpWNRFGMe1/S3SQ5L8qwkHxvMogAAAACA4Wug7dXXFEVx3GbXa5KckOS1STYMalUAAAAAwLA1UOh4XJLjiqL4YVEUeyX5myQHJDk8yYlDURwAAAAAMPxs852OZVmuSvKBoigOSnJOkpuT/EtZllY5AgAAAADbNNA7HZv6tlfvlOTYJL9L8vOiKE4YquIAAAAAgOFnoO3V309yfJJ3JPlKWZbfTm/4+IKiKH46BLUBAAAAAMPQNrdXJzmwLMvX951ifUeSlGW5NsnfFUWx/5BUBwAAAAAMOwOFjtcVRXF5knFJfrD5jbIs7xvUqgAAAACAYWugg2TeVRTFs5NsLMvyd0NYEwAAAAAwjA200jFlWd41VIUAAAAAACPDQAfJAAAAAAA8aUJHAAAAAKBSQkcAAAAAoFJCRwAAAACgUkJHAAAAAKBSQkcAAAAAoFJCRwAAAACgUkJHAAAAAKBSQkcAAAAAoFJCRwAAAACgUkJHAAAAAKBSQkcAAAAAoFJCRwAAAACgUkJHAAAAAKBSzfUuAAAA4Mka29KUt7/6gLzw2btkbEtTygdX5huX/TYLH13br19TY0PO/PBL8uDiNfnCd2/f9nhjmvKe1x6YFx40N42Njbnhzodz3iV3p72je7AfBQBGJCsdAQCAYeevXvfsHPyM2fm3//ll/v7sa9PRVcsnT3l+xjT3/1+ck1+5f/bZddoTjvf+NzwnB+w1M58675Z8+hs359n7zMr7T3zOYJUPACOe0BEAABh2nn/gnPzvjQ/k3gdXZtHStnz78nsze/qE7L7z5E19nrnnjBzzvN3zwOLVA441Y8q4vOSQefnqD+5M+VBr7nlgZb508R15ycHzMmPKuMF+FAAYkYSOAADAsLO6rSMvPnjXTJ3Ukuamhrz8ebtn7fqOPLJiXZJkXEtT/vYth+ScH92V1W0dA451wF4z0tPTk3sfWLmp7Z4HV6bW05MD9p4xqM8BACOVdzoCAADDzpe/d0dOO+nQXPDJV6W7u5aNnd3556/flHXtXUmSU1737Ny/sDXX37E4rzhizwHHmjl1fFa3bUx3rWdTW63Wk9VtGzN72vjBfAwAGLGsdAQAAIadubMmpXXtxpxx7k35hy9fn9vKpfno2w/PzKnjcvgBO+fQ/XfOV+f/ZrvGGtvSlI7O2hbtnV21jGluqrp0ABgVhI4AAMCwsvOMCfngic/JuT+6K7++b2l+91BrPn/Br9PR1Z2TXrF/PvjGg/Pl792Rtg2d2zVeR2f3FgfQJMmY5sZs7OiqunwAGBVsrwYAAIaVfedNS1NTY+5ftGpTW3etJ398eHWOPWKPJMk/vO2wTfdamhvTk+SFB+2SN/6/n2wx3vJVGzJ10tg0NiSP7bBubGzI1Eljs2J1+6A+CwCMVEJHAABgWFm+ekOSZK+5U/KHh/90MvXuO0/OD6/+fS6/8cF+/T/8ludm1dqNOf/H92x1vHseWJmmxobsv+eM3NN3mMwBe81IQ0PDpmsA4MkROgIAAMPK/Q+15t4HV+ZDb35uvvaD32TNuo78+Yv3zqxpE3LZ9X/MstYN/fp3dNayYWNXlvSdbJ0kUya2pKu7lvXtXVm5pj3X3/lwPvjG5+bsi25PQ0PywRMPztW/XpiVa6x0BICnQugIAAAMK7We5F++eUv+8rhn5u/feljGjW3O7xeuyj9++botAsdtOevDL83df1ieL3z39iTJly6+I+99/UH5xHuen+5aT278zeKc+6O7BvMxAGBEEzoCAADDzpp1Hfny9+7crr7/9PUbt2h7z2d+1u+6vaM7X7zo9nzxotsrqQ8ARjunVwMAAAAAlRI6AgAAAACVEjoCAAAAAJUSOgIAAAAAlRI6AgAAAACVEjoCAAAAAJVqrtcXF0Xx+SSzyrJ8R1EUByc5L8mUJNcmObUsy6561QYAAAAAPHV1WelYFMXLkrx9s6YLknygLMv9kjQkOaUedQEAAAAAT9+Qh45FUcxI8pkkn+273iPJ+LIsb+7rcn6SE4e6LgAAAACgGvXYXv31JKcn2a3vepckSza7vyTJvCc76MyZk55+ZcCgmz17cr1LABg05jhgJDPHASOdea5aQxo6FkXxniQLy7K8qiiKd/Q1Nybp2axbQ5Lakx17xYq21Go9T9yRTfxloh6WLVtb7xIYRUbzPHfgPjPzufe9aKv37rx/WT7+tRtz1odekmfsPr3fvStuWZAvXXzHVj932DN3zife8/wt2t/xqf/LitXtT7/oEcAcx1AazXMc9WGOYyiZ46gH89yT09jYMOAiwKFe6fimJHOLorgjyYwkk9IbOM7drM+cJIuHuC4AGFHue3Bl3nbGT/u1PXe/2fnQmw/J/F/cnySZt/PkfP6CX+XO3y/f1GdjR/c2x9xjzuT8YdGqnHHezf3aV7dtrLByAABgJBjS0LEsy5c/9vu+lY5HlWX5zqIo7i6K4siyLG9I8rYklw9lXQAw0nR192TV2j+FgRPGNecdr3lWfnj173N7uSxzZk7I+LHNuW9Ba79+A9ljzpQ8uGTNdvcHAABGr7qcXr0VJyf5z6Io7kvv6sez61wPAIwob355kc6uWr57RZmkN0Dc2NGVpa3rt3uM3edOzqKlbYNVIgAAMILU4yCZJElZluen96TqlGV5Z5Ln1asWABjJpk5qyauP3Cv/Nf832djZu316jzlT0rahK6edfGgO3HtW1q7vyJW3PpRLr/tDerbyiuTGhmTeTpOzz7ypOfu0ozJl4tjcv7A15//4njy8TBAJAAD0t6OsdAQABsmrXrhXVrdtzNW/Xripbfc5kzN+bFNuL5fmE+fcmJ/c8EBOesX+ecuxxVbHmDNzYsaOacqY5sZ86eI78u/f/mXGNDfmX9//okyd1DJUjwIAAAwTdVvpCAAMjaMPmZcrf/lQumt/WsJ41nduy/iWpqxr70qSLHhkbSaOa84bj9kvF/5fucUYi5evy0n/9L9p29C5aSXk587/Zb75Ty/P0Yfulh9d84cheRYAAGB4sNIRAEaw3XeenF1mT8q1tz/cr71W69kUOD7mwSVrMmHcmEwct/V/k1y7vrPf1uuNnd15ZMX6zJo2vvK6AQCA4c1KRwAYwQ7Ye2ZWrmnf4gCY//ibF6dc0JrzLrl7U9szdpuWFas3bBFGJsnzD5yTv33LoTnlsz/LmnUdSZLxY5uzy+xJ+b+bFwzuQwAAjCIH7jMzn3vfi7Z67877l+XjX7sxrz5yr7zmRXtl1tTxWdq6IZdc+/tccctD2zX+64/aN+86/lk5/rRLqiwbtiB0BIARbJ9dp2bBkjVbtN9015Kc/Ir984dFq3Pvgyvy7H1m5YSjn5FzL7lrU58pE1vS1V3L+vau3PWHFdmwsTMfOemQnP/je9LU2JC3HffMrFm3Mb/Y7F2RAAA8Pfc9uDJvO+On/dqeu9/sfOjNh2T+L+7Pq16wZ97+6gPyX9+/M/ctWJmD9p2VU//iOensquUXv1404Nh7zJmct75y/8EsHzYROgLACDZ9ytisWd+xRfsPfvH7dHf35E0v3y+zp43PslUbct6ld/f7F/KzPvzS3P2H5fnCd2/Pug2d+fjXbsw7X/OsfPZ9R6apsSF3/G5ZPv7VG9PZVRvKRwIAGNG6unuyau3GTdcTxjXnHa95Vn549e9ze7ksZ5/2rPzkhgdy9W29AeMjKx5KsceMvOzw3QcMHZubGnLayYf2BZWzB/05QOgIACPYv3zz1m3eu+TaP+SSa7d9AMx7PvOzfteLlrbl09+8pbLaAAB4Ym9+eZHOrlq+e0XvYX/n/PCuLFu1oV+fnp6eTJowZsBx3vqqZ2bF6vZcc9sioSNDwkEyAAAAADugqZNa8uoj98p3riizsbM7SXL3H1fk0ZXrN/WZPW18XvLcebntvqXbHOeAvWbkmMN3z5cuvmPQa4bHCB0BAAAAdkCveuFeWd22MVdv4x3aUya25J/f8/y0rm3P939+/1b7jB/bnI+85ZCc86O7snJN+2CWC/3YXg0AAACwAzr6kHm58pcPpbvWs8W9nWdMyBmnvCBjW5rysa9cn/XtXVsd469e9+zcv2hVrr394cEuF/oROgIAAADsYHbfeXJ2mT1pq2Hh3rtOzRnveX7aNnTmH750bZav2vYKxmOet3s2dnbn4s++OknS1NiQJLn4s6/OV75/Z665beATr+GpEjoCAAAA7GAO2HtmVq5pz6Klbf3a5+00KZ9+7wuzZPm6fPK8m7J2feeA4/zVZ6/sd33EgXPy7j8/MB868+qsatu4jU/B0yd0BAAAANjB7LPr1CxYsmaL9r99yyHp7OrOWRf+Ok1NjZk2eWySpFbryZp1HUmSaZPHpn1jV9o7urNkxbp+n1+1tjdofHw7VE3oCAAAALCDmT5lbNas7+jXtsusidlv9+lJkq9/7Jh+9xYvb8t7P3dVkuTbZ7wyF/7fffnOFeXQFAtbIXQEAAAA2MH8yzdv3aJt8fJ1Of60S57wswP1ufq2RbnaexwZAo31LgAAAAAAGFmEjgAAAABApYSOAAAAAEClhI4AAAAAQKWEjgD8/+3deZgfRYE38G8uSCBCuATkkEWglkO5REBgRcV7AU9YETwQz9X1fddVF2FdvHUVBRGXxQuP5dRXBW8FBERBThGUAuW+JRADgRAgef/onjgMk5CYmpmQfD7Pk2dmqrvqVz3PM5Xub1d1AwAAQFNCRwAAAACgKaEjAAAAANCU0BEAAAAAaEroCAAAAAA0JXQEAAAAAJoSOgIAAAAATU0c6w4wduY+OCcbH/Ltse4Gy5G5D84Z6y4AAAAAo0DouBwbP2mF7Pnu7411N1iOnHb43kkeGOtuAAAAACPM8moAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQ1MSx+NBSyn8m2af/8Qe11veWUvZI8pkkU5KcVGs9dCz6BgAAAAAsmVGf6diHi89Psm2SbZJsX0p5dZKvJNk7yeZJdiilvGi0+wYAAAAALLmxWF59a5J311rn1FofTPKHJJslubrWem2t9aEk30zyqjHoGwAAAACwhEZ9eXWt9YqB70spm6ZbZn1UujBywK1J1h/lrgEAAAAADYzJMx2TpJSyZZIfJHlPkofSzXYcMC7J3MVpb401prbrHDBi1lrrCWPdBYARY4wDlmXGOGBZZ5xra6xeJLNLkm8n+T+11hNLKc9Ksu6gXdZJcsvitDl9+r2ZO3dew14u+/wxMRb+/Od7xroLLEeMc4w2YxyjyRjHaDPGMZqMcYwF49ziGT9+3EInAY566FhK2SDJd5PsW2s9oy8+v9tUNklybZL90r1YBgAAAAB4nBmLmY7/lmRyks+UUgbKjkny+nSzHycn+WGSb41B3wAAAACAJTQWL5J5V5J3LWDz1qPZFwAAAACgvTF7kQwsDdZYdXIO2nurbL3pWhk3blwuvvL2fPnUK3LXzNmZOGFcDnjR5nnWdutn6pRJufrGGTnu+79PveHuBba36QbTcuCeW2bj9aZlxr2z8/1zrs1pv7xmFI8IAAAAYOyNH+sOwFj6z4N2ytQpK+T9Xzg3Bx/9y6y+yuT8x4E7JkkO3Gur7Lr1evnMCRfnHZ8+M9fdOjMffuszs/oqk4dta+3VV8rH375L7po5O+/53Nk59ju/yyues2n23WOzYfcHAAAAWFYJHVluTXvCirnx9nty1MmX5LpbZ+a6W2fmu2f9KZtsMC0rT5mUJDnmO5flsqvvzG3T78s3fvSHTFlxYjbbcLVh29tzt40z454H8pnjL84Nt9+Ti668I1/9/hV51XM3zQoT/akBAAAAyw/Lq1luzbjngXzqmxfN/3mNVSfnhTtvlKtuuDuz7n8wx37nd/O3TVlxYl7x7E1z7/0P5qoFLK9+0por58ob7s7Dc+fNL7vm5r9kxRUmZtMNV8sV10wfuYMBAAAAWIoIHSHJIW94Rnbaat3cc9+cvP8L5z5i297/sHEO2vupmTt3Xo448ZLcNXP2sG3cNXN2Nlj7CY8oe+JqU5Ikq05dYWQ6DgAAALAUsuYTkvzvj6/Mvx5xVn5/7fR8+C2PfG7jeZffln85/MyccvpVede+22S78sRh2zjzopuyxd+tkT132zgTJ4zLOmuslP1fuHmSZNIEf2oAAADA8kMSAkmuu3Vmrr5xRj71jYsyfvy4PHeHDeZvu/2u+3LtLTPzzR9fmUuv+nNe+qynDNvGFddMz1EnX5L9XvD3+dYn9sx/vXO3/OBX1yZJZs1+aFSOAwAAAGBpYHk1y61pU1fMUzdZM+dcevP8sgcefDi3TZ+VNadNyU5brZsrr78rM+55YP72626bmR02X3uBbf70/Bvy0/NvyOqrTM6Mex/Ihv1y69umzxq5AwEAAABYypjpyHJrrdWm5L0HPD2brD9tftlKkydmvbWm5vrb7sn/ffW2efb26z+izmYbrJYbbr9n2Pae+bR18579t0/SPd9x7tx52WmrdXLHXfflpjvuHbkDAQAAAFjKmOnIcuuPN83I5X+6M+/cZ5t8/pRL8/DceXndS7bIX2Y9kDMuuCGrP2HF7PPczXLrnbNy4+335vk7bpjy5NXyb587O0kyflyyytQVc9/9D2bOQ3Nz4+33Zuenrpu9/+Ep+fXvbsnWm66VffbYLEeedOkYHykAAADA6BI6styaNy/5+NcuyIF7bpkPvHGnrDBpfC6ud+Tgo8/N7DkP5/if1sx5aG4O2murrLbK5Pzxphk59Jhf5dpbZiZJ1pw2JV8+9Pk54sSLc/oFN+bG2+/JJ79+YQ540eY54MWb57Y7Z+XIEy/JWZfc/Bg9AQAAAFi2CB1Zrs2cNSdHnHjJsNvmzp2Xk39+VU7++VXDbr/j7vuz57u/94iy86+4LedfcVvzfgIAAAA8nnimIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANCV0BAAAAACaEjoCAAAAAE0JHQEAAACApoSOAAAAAEBTQkcAAAAAoCmhIwAAAADQlNARAAAAAGhK6AgAAAAANDVxrDswWCllvySHJpmU5Iha69Fj3CUAAAAAYDEtNTMdSynrJflokl2TbJPkzaWULca2VwAAAADA4lqaZjrukeSMWutdSVJK+VaSVyb50GPUm5Ak48ePG9neLaOeuNqUse4Cyxl/q4w24xyjyRjHaDPGMZqMcYw2YxyjzTi3eAb9viYMt33cvHnzRq83C1FKOTjJyrXWQ/ufD0ryjFrrmx+j6q5Jzhnp/gEAAAAAj7Jbkl8OLVyaZjqOTzI4AR2XZO4i1Lsg3cHdmuThEegXAAAAAPBIE5Ksmy6be5SlKXS8KV14OGCdJLcsQr0HMkyaCgAAAACMqD8taMPSFDr+PMlhpZS1ksxK8ookj7W0GgAAAABYyiw1b6+utd6c5JAkZya5NMnxtdbfjG2vAAAAAIDFtdS8SAYAAAAAWDYsNTMdAQAAAIBlg9ARAAAAAGhK6AgAAAAANCV0BAAAAACamjjWHYC/RSlloyRXJfn9kE1frLUevYA6H0zy81rrOSPcPYClSillapJPJnlBkllJZiY5rNZ6einlTUnurbWeUEo5Lskvaq3HjVlnAYZRSnllkoPTXb+MT/L1WuunFrL/L9KNc79YxPb3SvL0WusHFnH/jdKNlxstyv7Asm1JxqhSyleS7J7kkFrrCQvY/7ok9yWZM6j4klrrG5aw369Psnut9fVL0s5C2j8sSWqth41E+yz9hI48nt1Sa91mMfZ/VpIzR6ozAEujUsq4JKcluTTJFrXWOaWUbZP8oJSyX5JdkvxiDLsIsFCllPWSHJ5ku1rr9P5GylmllFprPbXFZ/TtNGkLWL40GKNen2RyrXXOY+z34lrrdUvWWxhdQkeWOaWUW5N8K8muSR5Ksk+S3ZI8PcmXSikvS3JUkruSbJlk3yTrJPlQkklJrk3ypv4/jOuSnJzkeX3zB9ZaL+nvTC1q/W+km120cpLX1lovKqVskuS/k6yR7o7VO/t2j8ugWUallHm11nH9HaKdkmyY5Kha6383/aUBy7JnJXlykufUWuclST/efCTJ6Un+kuQ5/diZJC8ppbw9ydpJPlprPbY/eT46yVZJJiT5ZD8z8vVJXpdkzSSn1VrfP5oHBiw31kx3jrVSkum11ntLKa9LMruU8qok704yJcmK6c7VfjVQsZQyMd0511bpxrXLkry6//7HSe5Mcn+S/00/26eUskOSz/afd2eSt9Rar+1v2Hy5b/q3I3zMwOPHwsaoYceTgYqllFOTjEvym1LK82utdyzuh/fXphenu/6dnOR9Sd6VZIskn621fra/nnxyks37/v7P0JmYpZSdkhzZt3Fnkrf0m85IslGtdW4pZfck76u1vqiU8u/prrUnJPlJXz6vlPKeJG/u27g7yW8W95hYdnimI49nTyqlXDrk31PTBYCn11q3TXJ2knfUWr+e5MIkB9Vaf9fXv6zWWpLcnOQTSV7Q1/lJumWIA2b15R9I8rVB5Ytaf3qt9RlJjkkycEH+tSTvrbVul25APnERjndyrXULgSOwmHZIcuFA4DjI2emWWp+a5AO11p/05ZOT7nnrPgAACPxJREFU7JjkJUk+2pcdmuSiWuv2Sf4hySGllI37besn2VbgCIyUWutvk3wvyTWllN+UUj6Z7iL3miRvTfKPtdatk/xXuuWNgz0zyZxa685JNkkyLcmL+20lyf611oGbyymlrJDkS0n268/TDk/yxX7z19NdVG/XfzbAwsaoG7Lg8WSg7l79120WIXD84ZBr38FLq8f115zfTjfB5uXpJt4MfmTE9kn26L++pZSy3cCGfuw7Md2189bprl1PqLX+Md2kmt37XV+b5LhSygv7dnZIsm2S9ZK8ppTy9CQH9mV7pDtPZDlmpiOPZ8Mury6lJN2d6yS5PN0F8nDO77/umG4G4Zl93QnpZjEOODZJaq2nlVK+VkpZczHrD+7Ly/sZQzsk+Wq/f5JMLaWssbCDHfR5AItjXob//36FfttQ3+vvUl+R7k540p00rlRKObD/eeV0M72T5OJa60MtOwwwVK31bf0M7eenW0FyXpLXJHlZkj1Ld1K1e5KHh9Q7u5QyvZTyz0n+PsmmSab2m+8YZqniZkmekuTUQedpq/Tnf0+qtf6sLzsuyRubHSDwuLaAMerjGWY8WYKPWdjy6h/1X69Pcl6t9b4k15dSpg3a54Ra673J/BmWz0k3GzHpxr67a60X9MdzSinl2FLKqkm+kuSAUsp5SZ6b5O1JPpLuOviivv6UdCHrOkl+OOhzTkl3fcxySujIMqnWOrv/dl666erDub//OiHJLwfuMpVSJuevJ6NJt0R7wPj89WR2UesP7cuEJLMHB6allPXTBZXz+1tKmbSA/gIsjvOT/EspZVKt9cFB5TunmwE+1ENJ0gePA2UT0s0GujhJSilrpxuzXhNjEzDCSikvSTK11npSkq+mu3H7piT/nORjSb6Zbvb2ZUneMaTuXukegXNkX3fN/PXccLjxa0KSawbO00opE9ItxR56TulmC5BkoWPUfhl+PBkJg58HuaDxaeh17dCfhxq4dj0l3eqXV6YLFGf3x3JErfUzSdKHmw+lW5I9dKwUOi7HLK9mefJQhg/az0+ycylls/7n/0jy6UHb/ylJ+mdB/qHWevdi1n+EWutfklxdStm/b/d56U6Uk+5O08DsoZcuykEBLEyt9ZwkVyQ5YuBmRill+3RLpj+cBY+Ng52R5G193XXTXdhvOFJ9BhjiviQf798YPfCCrG2SPJAuDPxYupcFvjyPvrjdI8nJtdavJpmR5NnD7DPYlUlWL6Xs1v98YJLja63T080aeklfvt+SHhSwzFjQGHVehhlPxqSHnZeVUlYspayWZM8kPx20rSZZo38GZUop+yS5vtZ6Vz9r8kfpxtrj+v3PSDf7cWr/7NzvpgslT083+3zVfjLOy0bjwFh6menI49mTSimXDik7e9g9Oz9Ockwp5bWDC2utt/VLBk/u79jclGT/QbvsUkp5Y7pnn71uaKOLUH84r+n78t50d6X27WcVHZPkpFLKZekG8lsX1gjAInp5ujvUl5dSHk43S3H/WusvSinrJPlYKWXGQup/MMkXSimXp7tYf2+t9U+DTqIBRkyt9cxSygeTfH/QSpCfpLuYPS5dUDi3L9t1SPUvJjm+lPLqdOdc5yb5u4V81gP9y2mO7C+YZ+av53/7p5vB9JEkv25xbMDj30LGqMPSPTt7uPHkb/HDUsrgGY331VqfuRj1709yTrol3h+vtf6+lPKM/hgeKKXsm+TzpZSV050r7juo7olJdqm1nt/vf1opZet0E3AmpLvW/lp/TXtEkgvSvUTm+r/pSFlmjJs3b7jHOQFJUrq3T+++kGdnAAAAwFKrf3t1aq2H/Q11J6S7eX3HwHJqWFRmOgIAAACMkVLKlCx4BvUHaq2njmZ/hrgw3WPA9hrDPvA4ZaYjAAAAANCUF8kAAAAAAE0JHQEAAACApoSOAAAAAEBTXiQDAMAjlFLemuRtSSYlmZfk4iSH1FpvGNOOJSmlHJRkhVrrF/p+Tqu1fmKs+wUAwCOZ6QgAwHyllE8neUWSf6y1bpHkqUl+luTXpZT1x7RznV2TrJQktdZjBI4AAEsnb68GACBJ0oeKVybZoNZ695BtR6ZbJXNkkv9J8sQkc5N8pNZ6UillswWUX5fklbXWC/t2rkvyyiR3JjkryY+T7JhkXJJ31FrPKaWs3be1dpJ1klyfZJ8kuyT5cpL7k3wsyVpJ1qy1vqOUsmWSzydZI93szMNrrV8vpeye5KNJrkmyVbrZm2+ptZ7b7BcHAMCjmOkIAMCAHZP8YWjg2Pt5ulmGJyY5pda6ZZIXJ/lYKWWVhZQvzIZJzqq1bpPk35OcVEqZlOSfkvy61rpzko2T3JfkgFrrd5KcmuSztdajBxoppUzsy4+qtT4tyYv6z9950HEdXmvdNslX0wWWAACMIKEjAACDTVpA+YrpZiNuneRLSVJrvbHW+pR0MyAfVV5rnfkYn3V3rfX4vs6Pkjyc5Gm11iOT/KqU8q9JvpBuhuLUhbSzWZLJtdb/17d1S5JvJ3lhv/36Wuul/fcXJ1n9MfoFAMASEjoCADDgvCSbllLWGWbbs5Nc2H8///k8pZSSLix8VHkpZUpfNm5QOysM+v6hIZ8xPsnDpZRPJvlQkj8nOTbJT4e0MdSEwZ89qK2BAPX+QeVD+wMAwAgQOgIAkCSptd6c5HNJTiilrDdQXkp5Q7qXy3wwyUVJXteXb5Dk3CRTFlC+arrg8Ol9+e5J1h30kWuVUl7Yb9szyYNJfpfkBUmOqLV+I8kdSZ6XLlhMuqBy6GzMK5M8WEp5ed/Wk/r+/mxJfh8AAPzthI4AAMxXaz04yTeTfK+Ucnkp5eokeyTZudZ6fZL9kuxTSvltktOSHFRrvW0h5e9L8q5SyqVJDkgXTg6YneSAvs4hSV5aa3043SzHT5dSLkv3rMZfJtmkr/OjJG8tpRw8qM8PJnlp/zmXpXv+5IdqrWc2/wUBALBIvL0aAIBRV0rZKMnltdaFPasRAIDHKTMdAQAAAICmzHQEAAAAAJoy0xEAAAAAaEroCAAAAAA0JXQEAAAAAJoSOgIAAAAATQkdAQAAAICmhI4AAAAAQFP/H70cf5VErD1hAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_stack_bars(df, 'Occupation', '% of Total', rot_=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>2. Data Cleaning</h2>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>2.1. Missing Value of Credit_Product</h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The missing values in the feature **`Credit_Product`** will be imputed with **`No_Info`**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# filling null values with No_Info\n",
    "\n",
    "train['Credit_Product'] = train['Credit_Product'].fillna(\"No_Info\")\n",
    "test['Credit_Product'] = test['Credit_Product'].fillna(\"No_Info\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No         144357\n",
       "Yes         72043\n",
       "No_Info     29325\n",
       "Name: Credit_Product, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['Credit_Product'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "sns.countplot(x = \"Is_Lead\", data = train, hue = \"Credit_Product\")\n",
    "plt.title(\"Count of Credit_Product for each class label\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Among all customers, Customers having a Credit Product have a greater chance of having a Credit Card.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>3. Feature Engineering</h2>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>3.1. One Hot Encoding of Categorical Features</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "categorical_columns = [\"Gender\",\"Region_Code\",\"Occupation\",\"Channel_Code\",\"Credit_Product\",\"Is_Active\"]\n",
    "\n",
    "# train = pd.concat([train, pd.get_dummies(train, columns=categorical_columns)], axis=1)\n",
    "# test = pd.concat([test, pd.get_dummies(test, columns=categorical_columns)], axis=1)\n",
    "\n",
    "train = pd.concat([train, pd.get_dummies(train[categorical_columns])], axis=1)\n",
    "test = pd.concat([test, pd.get_dummies(test[categorical_columns])], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ID', 'Gender', 'Age', 'Region_Code', 'Occupation', 'Channel_Code',\n",
       "       'Vintage', 'Credit_Product', 'Avg_Account_Balance', 'Is_Active',\n",
       "       'Is_Lead', 'Gender_Female', 'Gender_Male', 'Region_Code_RG250',\n",
       "       'Region_Code_RG251', 'Region_Code_RG252', 'Region_Code_RG253',\n",
       "       'Region_Code_RG254', 'Region_Code_RG255', 'Region_Code_RG256',\n",
       "       'Region_Code_RG257', 'Region_Code_RG258', 'Region_Code_RG259',\n",
       "       'Region_Code_RG260', 'Region_Code_RG261', 'Region_Code_RG262',\n",
       "       'Region_Code_RG263', 'Region_Code_RG264', 'Region_Code_RG265',\n",
       "       'Region_Code_RG266', 'Region_Code_RG267', 'Region_Code_RG268',\n",
       "       'Region_Code_RG269', 'Region_Code_RG270', 'Region_Code_RG271',\n",
       "       'Region_Code_RG272', 'Region_Code_RG273', 'Region_Code_RG274',\n",
       "       'Region_Code_RG275', 'Region_Code_RG276', 'Region_Code_RG277',\n",
       "       'Region_Code_RG278', 'Region_Code_RG279', 'Region_Code_RG280',\n",
       "       'Region_Code_RG281', 'Region_Code_RG282', 'Region_Code_RG283',\n",
       "       'Region_Code_RG284', 'Occupation_Entrepreneur', 'Occupation_Other',\n",
       "       'Occupation_Salaried', 'Occupation_Self_Employed', 'Channel_Code_X1',\n",
       "       'Channel_Code_X2', 'Channel_Code_X3', 'Channel_Code_X4',\n",
       "       'Credit_Product_No', 'Credit_Product_No_Info', 'Credit_Product_Yes',\n",
       "       'Is_Active_No', 'Is_Active_Yes'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Dropping Irrelevent Columns__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "train.drop(columns=categorical_columns, inplace=True)\n",
    "test.drop(columns = categorical_columns, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "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>ID</th>\n",
       "      <th>Age</th>\n",
       "      <th>Vintage</th>\n",
       "      <th>Avg_Account_Balance</th>\n",
       "      <th>Is_Lead</th>\n",
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       "      <th>Region_Code_RG250</th>\n",
       "      <th>Region_Code_RG251</th>\n",
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       "      <th>Credit_Product_Yes</th>\n",
       "      <th>Is_Active_No</th>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TEASRWXV</td>\n",
       "      <td>30</td>\n",
       "      <td>33</td>\n",
       "      <td>886787</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ID  Age  Vintage  Avg_Account_Balance  Is_Lead  Gender_Female  \\\n",
       "0  NNVBBKZB   73       43              1045696        0              1   \n",
       "1  IDD62UNG   30       32               581988        0              1   \n",
       "2  HD3DSEMC   56       26              1484315        0              1   \n",
       "3  BF3NC7KV   34       19               470454        0              0   \n",
       "4  TEASRWXV   30       33               886787        0              1   \n",
       "\n",
       "   Gender_Male  Region_Code_RG250  Region_Code_RG251  Region_Code_RG252  ...  \\\n",
       "0            0                  0                  0                  0  ...   \n",
       "1            0                  0                  0                  0  ...   \n",
       "2            0                  0                  0                  0  ...   \n",
       "3            1                  0                  0                  0  ...   \n",
       "4            0                  0                  0                  0  ...   \n",
       "\n",
       "   Occupation_Self_Employed  Channel_Code_X1  Channel_Code_X2  \\\n",
       "0                         0                0                0   \n",
       "1                         0                1                0   \n",
       "2                         1                0                0   \n",
       "3                         0                1                0   \n",
       "4                         0                1                0   \n",
       "\n",
       "   Channel_Code_X3  Channel_Code_X4  Credit_Product_No  \\\n",
       "0                1                0                  1   \n",
       "1                0                0                  1   \n",
       "2                1                0                  1   \n",
       "3                0                0                  1   \n",
       "4                0                0                  1   \n",
       "\n",
       "   Credit_Product_No_Info  Credit_Product_Yes  Is_Active_No  Is_Active_Yes  \n",
       "0                       0                   0             1              0  \n",
       "1                       0                   0             1              0  \n",
       "2                       0                   0             0              1  \n",
       "3                       0                   0             1              0  \n",
       "4                       0                   0             1              0  \n",
       "\n",
       "[5 rows x 55 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dropping 'ID' column from train\n",
    "\n",
    "train.drop(columns=['ID'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test = test.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dropping 'ID' column from test dataset\n",
    "\n",
    "df_test.drop(columns=['ID'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 245725 entries, 0 to 245724\n",
      "Data columns (total 54 columns):\n",
      " #   Column                    Non-Null Count   Dtype\n",
      "---  ------                    --------------   -----\n",
      " 0   Age                       245725 non-null  int64\n",
      " 1   Vintage                   245725 non-null  int64\n",
      " 2   Avg_Account_Balance       245725 non-null  int64\n",
      " 3   Is_Lead                   245725 non-null  int64\n",
      " 4   Gender_Female             245725 non-null  uint8\n",
      " 5   Gender_Male               245725 non-null  uint8\n",
      " 6   Region_Code_RG250         245725 non-null  uint8\n",
      " 7   Region_Code_RG251         245725 non-null  uint8\n",
      " 8   Region_Code_RG252         245725 non-null  uint8\n",
      " 9   Region_Code_RG253         245725 non-null  uint8\n",
      " 10  Region_Code_RG254         245725 non-null  uint8\n",
      " 11  Region_Code_RG255         245725 non-null  uint8\n",
      " 12  Region_Code_RG256         245725 non-null  uint8\n",
      " 13  Region_Code_RG257         245725 non-null  uint8\n",
      " 14  Region_Code_RG258         245725 non-null  uint8\n",
      " 15  Region_Code_RG259         245725 non-null  uint8\n",
      " 16  Region_Code_RG260         245725 non-null  uint8\n",
      " 17  Region_Code_RG261         245725 non-null  uint8\n",
      " 18  Region_Code_RG262         245725 non-null  uint8\n",
      " 19  Region_Code_RG263         245725 non-null  uint8\n",
      " 20  Region_Code_RG264         245725 non-null  uint8\n",
      " 21  Region_Code_RG265         245725 non-null  uint8\n",
      " 22  Region_Code_RG266         245725 non-null  uint8\n",
      " 23  Region_Code_RG267         245725 non-null  uint8\n",
      " 24  Region_Code_RG268         245725 non-null  uint8\n",
      " 25  Region_Code_RG269         245725 non-null  uint8\n",
      " 26  Region_Code_RG270         245725 non-null  uint8\n",
      " 27  Region_Code_RG271         245725 non-null  uint8\n",
      " 28  Region_Code_RG272         245725 non-null  uint8\n",
      " 29  Region_Code_RG273         245725 non-null  uint8\n",
      " 30  Region_Code_RG274         245725 non-null  uint8\n",
      " 31  Region_Code_RG275         245725 non-null  uint8\n",
      " 32  Region_Code_RG276         245725 non-null  uint8\n",
      " 33  Region_Code_RG277         245725 non-null  uint8\n",
      " 34  Region_Code_RG278         245725 non-null  uint8\n",
      " 35  Region_Code_RG279         245725 non-null  uint8\n",
      " 36  Region_Code_RG280         245725 non-null  uint8\n",
      " 37  Region_Code_RG281         245725 non-null  uint8\n",
      " 38  Region_Code_RG282         245725 non-null  uint8\n",
      " 39  Region_Code_RG283         245725 non-null  uint8\n",
      " 40  Region_Code_RG284         245725 non-null  uint8\n",
      " 41  Occupation_Entrepreneur   245725 non-null  uint8\n",
      " 42  Occupation_Other          245725 non-null  uint8\n",
      " 43  Occupation_Salaried       245725 non-null  uint8\n",
      " 44  Occupation_Self_Employed  245725 non-null  uint8\n",
      " 45  Channel_Code_X1           245725 non-null  uint8\n",
      " 46  Channel_Code_X2           245725 non-null  uint8\n",
      " 47  Channel_Code_X3           245725 non-null  uint8\n",
      " 48  Channel_Code_X4           245725 non-null  uint8\n",
      " 49  Credit_Product_No         245725 non-null  uint8\n",
      " 50  Credit_Product_No_Info    245725 non-null  uint8\n",
      " 51  Credit_Product_Yes        245725 non-null  uint8\n",
      " 52  Is_Active_No              245725 non-null  uint8\n",
      " 53  Is_Active_Yes             245725 non-null  uint8\n",
      "dtypes: int64(4), uint8(50)\n",
      "memory usage: 19.2 MB\n"
     ]
    }
   ],
   "source": [
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Spliting into X (features) and Y (Target Variable)\n",
    "\n",
    "X = train.drop(columns=['Is_Lead'])\n",
    "y = train[['Is_Lead']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Is_Lead\n",
       "0          0.762792\n",
       "1          0.237208\n",
       "dtype: float64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is a class imbalance observed in the target feature. About **76.27%** customers are not interested in credit card, and about **23.72%** are interested in credit card. To address this issue Oversampling techniques like **SMOTE** is needed in order to balance the class imbalance."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>4. Oversampling (Handling Class Imbalance)</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((374874, 53),\n",
       " (374874, 1),\n",
       " Is_Lead\n",
       " 0          187437\n",
       " 1          187437\n",
       " dtype: int64)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smote = SMOTE(random_state=42, n_jobs=-1)\n",
    "X_train_smote, y_train_smote = smote.fit_resample(X,y)\n",
    "X_train_smote.shape, y_train_smote.shape, y_train_smote.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>5. Modelling</h2>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* For Modelling both Light GBM and Xgboost model is used. \n",
    "* The dimensionality of data is low. \n",
    "* For combining the predictions made by XGBoost and Light GBM, stacking is used"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> 5.1. Light GBM Model </h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 10 folds for each of 20 candidates, totalling 200 fits\n",
      "mean test scores [0.95900141 0.95913723 0.95260851 0.93910885 0.95905745 0.95965737\n",
      " 0.95652856 0.95819661 0.94823886 0.9589766  0.95277563 0.95965053\n",
      " 0.95917193 0.95889394 0.95850546 0.9338523  0.95867958 0.95685596\n",
      " 0.93381059 0.95583902]\n"
     ]
    }
   ],
   "source": [
    "param_dist = {\"n_estimators\":sp_randint(40,100),\n",
    "              \"colsample_bytree\":np.array([0.5,0.6,0.7,0.8,0.9,1]),\n",
    "              \"subsample\":np.array([0.5,0.6,0.7,0.8,0.9,1]),\n",
    "              \"reg_lambda\":np.array([1e-5,1e-4,1e-3,1e-2,0.1,1,10,100]),\n",
    "              \"reg_alpha\":np.array([1e-5,1e-4,1e-3,1e-2,0.1,1,10,100]),\n",
    "              \"min_child_samples\": sp_randint(25,65),\n",
    "                \"max_depth\": sp_randint(1,20)}\n",
    "\n",
    "clf_lgbm = LGBMClassifier(boosting_type = \"gbdt\",n_jobs =-1,random_state = 10)\n",
    "\n",
    "# Randomized Search CV for finding the best parameters under roc_auc scoring\n",
    "\n",
    "lgbm_cv = RandomizedSearchCV(clf_lgbm, param_distributions=param_dist,\n",
    "                                   n_iter=20,cv=10,scoring='roc_auc',random_state=42,verbose=1)\n",
    "\n",
    "lgbm_cv.fit(X_train_smote,y_train_smote)\n",
    "\n",
    "print('mean test scores',lgbm_cv.cv_results_['mean_test_score'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The best parameters {'colsample_bytree': 0.8, 'max_depth': 16, 'min_child_samples': 39, 'n_estimators': 86, 'reg_alpha': 1.0, 'reg_lambda': 0.001, 'subsample': 0.8}\n"
     ]
    }
   ],
   "source": [
    "print('The best parameters {}'.format(lgbm_cv.best_params_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV] END .................................................... total time=   0.9s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.9s remaining:    0.0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV] END .................................................... total time=   0.9s\n",
      "[CV] END .................................................... total time=   0.8s\n",
      "[CV] END .................................................... total time=   0.8s\n",
      "[CV] END .................................................... total time=   1.0s\n",
      "The Mean CV Score :  0.874121947663389\n",
      "Train Score :  0.8767263158367958\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done   5 out of   5 | elapsed:    4.8s finished\n"
     ]
    }
   ],
   "source": [
    "lgb_clf_model = LGBMClassifier(colsample_bytree=0.8, max_depth=16, min_child_samples=39,\n",
    "               n_estimators=86, random_state=10, reg_alpha=1.0,\n",
    "               reg_lambda=0.001, subsample=0.8)\n",
    "\n",
    "lgb_clf_model.fit(X_train_smote,y_train_smote)\n",
    "\n",
    "proba = lgb_clf_model.predict_proba(X)[:,1]\n",
    "\n",
    "train_score = roc_auc_score(y,proba)\n",
    "\n",
    "cv_score = cross_val_score(lgb_clf_model,X,y,scoring=\"roc_auc\",verbose=2,cv =5).mean()\n",
    "\n",
    "print('The Mean CV Score : ',cv_score)\n",
    "print('Train Score : ',train_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# lgbm_pred_y = lgb_clf_model.predict_proba(df_test)[:,1]\n",
    "\n",
    "# lgbm_predictions = pd.DataFrame()\n",
    "# lgbm_predictions[\"ID\"] = test[\"ID\"]\n",
    "# lgbm_predictions[\"Is_Lead\"] = lgbm_pred_y\n",
    "\n",
    "# # Saving to a csv file....\n",
    "\n",
    "# lgbm_predictions.to_csv(\"Light_GBM_predictions.csv\", index = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Feature Importance for Light Gradient Boosting Model__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "feature_imp = pd.DataFrame(sorted(zip(lgb_clf_model.feature_importances_,X.columns)), columns=['Value','Feature'])\n",
    "\n",
    "plt.figure(figsize=(10, 10))\n",
    "sns.barplot(x=\"Value\", y=\"Feature\", data=feature_imp.sort_values(by=\"Value\", ascending=False))\n",
    "plt.title('LightGBM Features (avg over folds)')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> 5.2. XGBoost Model </h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# param_dist = {\"n_estimators\":sp_randint(40,100),\n",
    "#               \"colsample_bytree\":np.array([0.5,0.6,0.7,0.8,0.9,1]),\n",
    "#               \"subsample\":np.array([0.5,0.6,0.7,0.8,0.9,1]),\n",
    "#               \"reg_lambda\":np.array([1e-5,1e-4,1e-3,1e-2,0.1,1,10,100]),\n",
    "#               \"reg_alpha\":np.array([1e-5,1e-4,1e-3,1e-2,0.1,1,10,100]),\n",
    "#               \"min_child_samples\": sp_randint(25,65),\n",
    "#                 \"max_depth\": sp_randint(1,20)}\n",
    "\n",
    "# clf_xgb_model = XGBClassifier(boosting_type = \"gbdt\",n_jobs =-1,random_state = 0,verbosity =0,scale_pos_weight = 3.2158)\n",
    "\n",
    "# # Randomized Search CV for finding the best parameters under roc_auc scoring\n",
    "\n",
    "# xgb_random_cv_model = RandomizedSearchCV(clf_xgb_model, param_distributions=param_dist,\n",
    "#                                    n_iter=20,cv=5,scoring='roc_auc',random_state=42,verbose=1)\n",
    "\n",
    "# xgb_random_cv_model.fit(X_train_smote,y_train_smote)\n",
    "\n",
    "# # Mean CV Test Scores\n",
    "# print('mean CV test scores',xgb_random_cv_model.cv_results_['mean_test_score'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "#xgb_random_cv_model.best_estimator_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV] END .................................................... total time=   5.9s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    5.9s remaining:    0.0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV] END .................................................... total time=   6.8s\n",
      "[CV] END .................................................... total time=   6.9s\n",
      "[CV] END .................................................... total time=   6.0s\n",
      "[CV] END .................................................... total time=   6.7s\n",
      "0.8735201481668635\n",
      "0.8799996011762707\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done   5 out of   5 | elapsed:   32.8s finished\n"
     ]
    }
   ],
   "source": [
    "xgb_model = XGBClassifier(base_score=0.5, booster='gbtree', boosting_type='gbdt',\n",
    "              colsample_bylevel=1, colsample_bynode=1, colsample_bytree=0.6,\n",
    "              gamma=0, gpu_id=-1, importance_type='gain',\n",
    "              interaction_constraints='', learning_rate=0.300000012,\n",
    "              max_delta_step=0, max_depth=7, min_child_samples=52,\n",
    "              min_child_weight=1 ,monotone_constraints='()',\n",
    "              n_estimators=46, n_jobs=-1, num_parallel_tree=1, random_state=0,\n",
    "              reg_alpha=1e-05, reg_lambda=100.0, scale_pos_weight=3.2158,\n",
    "              subsample=0.8, tree_method='exact', validate_parameters=1,\n",
    "              verbosity=0)\n",
    "xgb_model.fit(X_train_smote,y_train_smote)\n",
    "proba = xgb_model.predict_proba(X)[:,1]\n",
    "train_score = roc_auc_score(y,proba)\n",
    "cv_score = cross_val_score(xgb_model,X,y,scoring=\"roc_auc\",verbose=2,cv =5).mean()\n",
    "print(cv_score)\n",
    "print(train_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# xgbm_pred_y = xgb_model.predict_proba(df_test)[:,1]\n",
    "\n",
    "# xgbm_predictions = pd.DataFrame()\n",
    "# xgbm_predictions[\"ID\"] = test[\"ID\"]\n",
    "# xgbm_predictions[\"Is_Lead\"] = xgbm_pred_y\n",
    "\n",
    "# # Saving to a csv file....\n",
    "\n",
    "# xgbm_predictions.to_csv(\"Xgboost_predictions.csv\", index = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Feature Importance for Xgboost__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "from xgboost import plot_importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Feature importance'}, xlabel='F score', ylabel='Features'>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,20))\n",
    "plot_importance(xgb_model , ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>5.3. Stacking of Xgboost and Light GBM Classifier </h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "XGBClassifier(base_score=0.5, booster='gbtree', boosting_type='gbdt',\n",
       "              colsample_bylevel=1, colsample_bynode=1, colsample_bytree=0.6,\n",
       "              gamma=0, gpu_id=-1, importance_type='gain',\n",
       "              interaction_constraints='', learning_rate=0.300000012,\n",
       "              max_delta_step=0, max_depth=7, min_child_samples=52,\n",
       "              min_child_weight=1, missing=nan, monotone_constraints='()',\n",
       "              n_estimators=46, n_jobs=-1, num_parallel_tree=1, random_state=0,\n",
       "              reg_alpha=1e-05, reg_lambda=100.0, scale_pos_weight=3.2158,\n",
       "              subsample=0.8, tree_method='exact', validate_parameters=1,\n",
       "              verbosity=0)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Xgboost Classifier\n",
    "\n",
    "xgb_model = XGBClassifier(base_score=0.5, booster='gbtree', boosting_type='gbdt',\n",
    "              colsample_bylevel=1, colsample_bynode=1, colsample_bytree=0.6,\n",
    "              gamma=0, gpu_id=-1, importance_type='gain',\n",
    "              interaction_constraints='', learning_rate=0.300000012,\n",
    "              max_delta_step=0, max_depth=7, min_child_samples=52,\n",
    "              min_child_weight=1 ,monotone_constraints='()',\n",
    "              n_estimators=46, n_jobs=-1, num_parallel_tree=1, random_state=0,\n",
    "              reg_alpha=1e-05, reg_lambda=100.0, scale_pos_weight=3.2158,\n",
    "              subsample=0.8, tree_method='exact', validate_parameters=1,\n",
    "              verbosity=0)\n",
    "xgb_model.fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LGBMClassifier(colsample_bytree=0.8, max_depth=16, min_child_samples=39,\n",
       "               n_estimators=86, random_state=10, reg_alpha=1.0,\n",
       "               reg_lambda=0.001, subsample=0.8)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Light Gradient Boosting Classifier\n",
    "\n",
    "lgbm_model  = LGBMClassifier(colsample_bytree=0.8, max_depth=16, min_child_samples=39,\n",
    "               n_estimators=86, random_state=10, reg_alpha=1.0,\n",
    "               reg_lambda=0.001, subsample=0.8)\n",
    "lgbm_model.fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stacking classifier for alpha = 0.000010, train score is 0.881475 and cv_score is 0.874063\n",
      "Stacking classifier for alpha = 0.010000, train score is 0.881528 and cv_score is 0.874029\n",
      "Stacking classifier for alpha = 0.001000, train score is 0.881490 and cv_score is 0.874055\n",
      "Stacking classifier for alpha = 1.000000, train score is 0.881553 and cv_score is 0.874006\n"
     ]
    }
   ],
   "source": [
    "# Stacking Classifier\n",
    "\n",
    "alpha = [1e-5, 0.01,0.001,1] \n",
    "for i in alpha:\n",
    "    lr = LogisticRegression(C = i )\n",
    "    \n",
    "    stack_clf = StackingClassifier([lgbm_model,xgb_model], meta_classifier=lr, use_probas=True )\n",
    "    stack_clf.fit(X,y)\n",
    "    \n",
    "    train_proba = stack_clf.predict_proba(X)[:,1]\n",
    "    train_score = roc_auc_score(y,train_proba)\n",
    "    \n",
    "    cv_score = cross_val_score(stack_clf, X,y,scoring=\"roc_auc\",verbose=0,cv =5).mean()\n",
    "    \n",
    "    print(\"Stacking classifier for alpha = %f, train score is %f and cv_score is %f\"%(i, train_score, cv_score))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stacking classifier for alpha = 1.000000, train score is 0.881475 and cv_score is 0.874063\n"
     ]
    }
   ],
   "source": [
    "# Using the Stacking Classifier for the best value of alpha\n",
    "\n",
    "lr = LogisticRegression(C =0.0001)\n",
    "stack_clf =StackingClassifier([lgbm_model,xgb_model], meta_classifier=lr, use_probas=True )\n",
    "stack_clf.fit(X,y)\n",
    "train_proba = stack_clf.predict_proba(X)[:,1]\n",
    "train_score = roc_auc_score(y,train_proba)\n",
    "cv_score = cross_val_score(stack_clf, X,y,scoring=\"roc_auc\",verbose=0,cv =5).mean()\n",
    "print(\"Stacking classifier for alpha = %f, train score is %f and cv_score is %f\"%(i, train_score, cv_score))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Finding the probabilistic lead prediction using the Stacking Classifier\n",
    "\n",
    "stack_clf_pred = stack_clf.predict_proba(df_test)[:,1]\n",
    "\n",
    "stack_clf_predictions = pd.DataFrame()\n",
    "stack_clf_predictions[\"ID\"] = test[\"ID\"]\n",
    "stack_clf_predictions[\"Is_Lead\"] = stack_clf_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "stack_clf_predictions.to_csv(\"Stacking_XGB_LightGBM_predictions.csv\", index = False)"
   ]
  }
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