loan-prediction-ml.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction\n",
    "\n",
    "The term loan refers to a type of credit vehicle in which a sum of money is lent to another party in exchange for future repayment of the value or principal amount. In many cases, the lender also adds interest or finance charges to the principal value, which the borrower must repay in addition to the principal balance. (credit: [Investopedia](https://www.investopedia.com/terms/l/loan.asp))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Problem Statement"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## About the Dataset"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset used for this problem is [Loan Prediction Problem Dataset](https://www.kaggle.com/datasets/altruistdelhite04/loan-prediction-problem-dataset). Each Applicant is attributed with the following columns in this data set and are as follows:\n",
    "\n",
    "| Column | Description |\n",
    "| ----------- | ----------- |\n",
    "| Loan_ID | Unique Loan ID |\n",
    "| Gender | Male/Female |\n",
    "| Married | Whether Married : Yes/No |\n",
    "| Dependents | No. of people depending on the Applicant |\n",
    "| Education | Graduate/Undergraduate |\n",
    "| Self_Employment | Whether Self_Employment : Yes/No |\n",
    "| ApplicantIncome | Applicant Income |\n",
    "| CoapplicantIncome | Co-Applicant Income |\n",
    "| LoanAmount | Loan Amount (in thousands) |\n",
    "| Loan_Amount_Term | Loan Duration |\n",
    "| Credit_History | Credit History of the Applicant |\n",
    "| Property_Area | Urban/Semiurban/Rural |\n",
    "| Loan_Status | Whether Loan Approved: Yes/No |\n",
    "\n",
    "The dimensions of the dataset is 614*13"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Importing Libraries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Importing the required libraires for data analysis and machine learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Data Analysis Libraries\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "#Data Viz Libraries\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "#Data Processing\n",
    "from sklearn import preprocessing\n",
    "\n",
    "#Data Splitting\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "#ML Libraries\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier ,GradientBoostingClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import r2_score\n",
    "from sklearn.metrics import (confusion_matrix,accuracy_score,precision_score,recall_score,f1_score)\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.metrics import classification_report"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the dataset and checking its related info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_path = pd.read_csv(\"train_u6lujuX_CVtuZ9i.csv\")\n",
    "test_path = pd.read_csv(\"test_Y3wMUE5_7gLdaTN.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Loan_ID</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Married</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>Education</th>\n",
       "      <th>Self_Employed</th>\n",
       "      <th>ApplicantIncome</th>\n",
       "      <th>CoapplicantIncome</th>\n",
       "      <th>LoanAmount</th>\n",
       "      <th>Loan_Amount_Term</th>\n",
       "      <th>Credit_History</th>\n",
       "      <th>Property_Area</th>\n",
       "      <th>Loan_Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LP001002</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>5849</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LP001003</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>4583</td>\n",
       "      <td>1508.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Rural</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LP001005</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LP001006</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Not Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>2583</td>\n",
       "      <td>2358.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LP001008</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>6000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Loan_ID Gender Married Dependents     Education Self_Employed  \\\n",
       "0  LP001002   Male      No          0      Graduate            No   \n",
       "1  LP001003   Male     Yes          1      Graduate            No   \n",
       "2  LP001005   Male     Yes          0      Graduate           Yes   \n",
       "3  LP001006   Male     Yes          0  Not Graduate            No   \n",
       "4  LP001008   Male      No          0      Graduate            No   \n",
       "\n",
       "   ApplicantIncome  CoapplicantIncome  LoanAmount  Loan_Amount_Term  \\\n",
       "0             5849                0.0         NaN             360.0   \n",
       "1             4583             1508.0       128.0             360.0   \n",
       "2             3000                0.0        66.0             360.0   \n",
       "3             2583             2358.0       120.0             360.0   \n",
       "4             6000                0.0       141.0             360.0   \n",
       "\n",
       "   Credit_History Property_Area Loan_Status  \n",
       "0             1.0         Urban           Y  \n",
       "1             1.0         Rural           N  \n",
       "2             1.0         Urban           Y  \n",
       "3             1.0         Urban           Y  \n",
       "4             1.0         Urban           Y  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_path.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 614 entries, 0 to 613\n",
      "Data columns (total 13 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Loan_ID            614 non-null    object \n",
      " 1   Gender             601 non-null    object \n",
      " 2   Married            611 non-null    object \n",
      " 3   Dependents         599 non-null    object \n",
      " 4   Education          614 non-null    object \n",
      " 5   Self_Employed      582 non-null    object \n",
      " 6   ApplicantIncome    614 non-null    int64  \n",
      " 7   CoapplicantIncome  614 non-null    float64\n",
      " 8   LoanAmount         592 non-null    float64\n",
      " 9   Loan_Amount_Term   600 non-null    float64\n",
      " 10  Credit_History     564 non-null    float64\n",
      " 11  Property_Area      614 non-null    object \n",
      " 12  Loan_Status        614 non-null    object \n",
      "dtypes: float64(4), int64(1), object(8)\n",
      "memory usage: 62.5+ KB\n"
     ]
    }
   ],
   "source": [
    "train_path.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ApplicantIncome</th>\n",
       "      <th>CoapplicantIncome</th>\n",
       "      <th>LoanAmount</th>\n",
       "      <th>Loan_Amount_Term</th>\n",
       "      <th>Credit_History</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>614.000000</td>\n",
       "      <td>614.000000</td>\n",
       "      <td>592.000000</td>\n",
       "      <td>600.00000</td>\n",
       "      <td>564.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5403.459283</td>\n",
       "      <td>1621.245798</td>\n",
       "      <td>146.412162</td>\n",
       "      <td>342.00000</td>\n",
       "      <td>0.842199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6109.041673</td>\n",
       "      <td>2926.248369</td>\n",
       "      <td>85.587325</td>\n",
       "      <td>65.12041</td>\n",
       "      <td>0.364878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>12.00000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2877.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>360.00000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3812.500000</td>\n",
       "      <td>1188.500000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>360.00000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5795.000000</td>\n",
       "      <td>2297.250000</td>\n",
       "      <td>168.000000</td>\n",
       "      <td>360.00000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>81000.000000</td>\n",
       "      <td>41667.000000</td>\n",
       "      <td>700.000000</td>\n",
       "      <td>480.00000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       ApplicantIncome  CoapplicantIncome  LoanAmount  Loan_Amount_Term  \\\n",
       "count       614.000000         614.000000  592.000000         600.00000   \n",
       "mean       5403.459283        1621.245798  146.412162         342.00000   \n",
       "std        6109.041673        2926.248369   85.587325          65.12041   \n",
       "min         150.000000           0.000000    9.000000          12.00000   \n",
       "25%        2877.500000           0.000000  100.000000         360.00000   \n",
       "50%        3812.500000        1188.500000  128.000000         360.00000   \n",
       "75%        5795.000000        2297.250000  168.000000         360.00000   \n",
       "max       81000.000000       41667.000000  700.000000         480.00000   \n",
       "\n",
       "       Credit_History  \n",
       "count      564.000000  \n",
       "mean         0.842199  \n",
       "std          0.364878  \n",
       "min          0.000000  \n",
       "25%          1.000000  \n",
       "50%          1.000000  \n",
       "75%          1.000000  \n",
       "max          1.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_path.describe()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Pre-Processing & Data Analysis"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Missing Values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking for missing values and removing/filling the missing values. \n",
    "\n",
    "We can visualise the data with the help of a heatmap in order to know which rows are missing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Loan_ID               0\n",
       "Gender               13\n",
       "Married               3\n",
       "Dependents           15\n",
       "Education             0\n",
       "Self_Employed        32\n",
       "ApplicantIncome       0\n",
       "CoapplicantIncome     0\n",
       "LoanAmount           22\n",
       "Loan_Amount_Term     14\n",
       "Credit_History       50\n",
       "Property_Area         0\n",
       "Loan_Status           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_path.isnull().sum()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A better way to look at this is by visualizing the missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(train_path.isnull(),yticklabels=False,cbar=False,cmap='viridis')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We drop the 'Loan_ID' column as it won't be a variable for the person/loanee but rather a way to identify the person which is not required for the EDA and Machine Learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_path.drop(['Loan_ID'],axis=1,inplace=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Removing Missing Values for categorical terms with the help of mode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_path['Gender'] = train_path['Gender'].fillna(train_path['Gender'].mode()[0])\n",
    "train_path['Married'] = train_path['Married'].fillna(train_path['Married'].mode()[0])\n",
    "train_path['Dependents'] = train_path['Dependents'].fillna(train_path['Dependents'].mode()[0])\n",
    "train_path['Self_Employed'] = train_path['Self_Employed'].fillna(train_path['Self_Employed'].mode()[0])\n",
    "#train_path['Credit_History'] = train_path['Credit_History'].fillna(train_path['Credit_History'].mode()[0])\n",
    "#train_path['Loan_Amount_Term'] = train_path['Loan_Amount_Term'].fillna(train_path['Loan_Amount_Term'].mode()[0])    "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Removing Missing Values for numerical terms with the help of mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_path ['LoanAmount'] = train_path ['LoanAmount'].fillna(train_path['LoanAmount'].mean())\n",
    "train_path ['Loan_Amount_Term'] = train_path ['Loan_Amount_Term'].fillna(train_path['Loan_Amount_Term'].mean())\n",
    "train_path ['Credit_History'] = train_path ['Credit_History'].fillna(train_path['Credit_History'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#typ1 = SI(strategy=\"constant\", fill_value=\"missing\")\n",
    "#typ2 = SI(strategy=\"constant\", fill_value=\"1\")\n",
    "#typ3 = SI(strategy=\"mean\")\n",
    "#typ4 = SI(strategy=\"constant\", fill_value=\"Y\")\n",
    "\n",
    "#col1 = [\"Gender\",\"Married\",\"Self_Employed\",\"ApplicantIncome\",\"CoapplicantIncome\",\"Property_Area\"]\n",
    "#col2 = [\"Dependents\",\"Education\",\"Credit_History\"]\n",
    "#col3 = [\"LoanAmount\",\"Loan_Amount_Term\"]\n",
    "#ol4 = [\"Loan_Status\"]\n",
    "\n",
    "#imputer = CT([(\"typ1\",typ1,col1),(\"typ2\",typ2,col2),(\"typ3\",typ3,col3),(\"typ4\",typ4,col4)])\n",
    "\n",
    "#train_missing = imputer.fit_transform(train_path)\n",
    "#len(train_missing)\n",
    "\n",
    "#train_path = pd.DataFrame(train_missing,columns=[\"Gender\",\"Married\",\"Self_Employed\",\"ApplicantIncome\",\"CoapplicantIncome\",\"Property_Area\",\"Dependents\",\"Education\",\"Credit_History\",\"LoanAmount\",\"Loan_Amount_Term\",\"Loan_Status\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#train_path['LoanAmount']=train_path['LoanAmount'].fillna(train_path['LoanAmount'].mean())\n",
    "#train_path['Credit_History']=train_path['Credit_History'].fillna(train_path['Credit_History'].median())\n",
    "#train_path.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Re-verifying whether all the missing values are removed/filled."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Gender               0\n",
       "Married              0\n",
       "Dependents           0\n",
       "Education            0\n",
       "Self_Employed        0\n",
       "ApplicantIncome      0\n",
       "CoapplicantIncome    0\n",
       "LoanAmount           0\n",
       "Loan_Amount_Term     0\n",
       "Credit_History       0\n",
       "Property_Area        0\n",
       "Loan_Status          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_path.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(train_path.isnull(),yticklabels=False,cbar=False,cmap='viridis')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(614, 12)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_path.shape"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We visualize all the variables in the count of their types. \n",
    "\n",
    "eg. Gender: Male or Female, Married: Yes or No, etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x4000 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('darkgrid')\n",
    "sns.set_palette('tab10')\n",
    "\n",
    "obj = (train_path.dtypes == 'object')\n",
    "object_cols = list(obj[obj].index)\n",
    "plt.figure(figsize=(18,40))\n",
    "index = 1\n",
    "\n",
    "for col in object_cols:\n",
    "    y = train_path[col].value_counts()\n",
    "    plt.subplot(11,4,index)\n",
    "    plt.xticks(rotation=90)\n",
    "    plt.subplots_adjust(hspace = 0.6,wspace=0.25)\n",
    "    sns.barplot(x=list(y.index), y=y).set_title(col)\n",
    "    index +=1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above the plots we can see that most of the people applying for loans are:\n",
    "Male, Married, Graduates and not Self_Employed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='CoapplicantIncome', ylabel='Count'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 600x2000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6,20))\n",
    "\n",
    "fig,axes = plt.subplots(2, 1, squeeze=False)\n",
    "\n",
    "sns.histplot(train_path['ApplicantIncome'],ax=axes[0,0])\n",
    "plt.subplots_adjust(hspace=0.4)\n",
    "sns.histplot(train_path['CoapplicantIncome'],ax=axes[1,0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A point to notice is that the Coapplicant Income < Applicant Income. This can be justifyed from plot 1 where we saw that most of the people had 0 dependents. Another things we can see is that the Coapplicant Income is relatively lower than the Applicant Income"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#g = sns.FacetGrid(data=train_path,col='AppicantIncome',row='CoappicantIncome')\n",
    "\n",
    "#g.map(sns.countplot,'Dependents',palette=\"tab10\")\n",
    "#plt.subplots_adjust(wspace = 0.75,hspace=0.25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Loan_Amount_Term', ylabel='Count'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 600x2000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6,20))\n",
    "\n",
    "fig,axes = plt.subplots(2, 1, squeeze=False)\n",
    "\n",
    "sns.histplot(train_path['LoanAmount'], ax=axes[0,0])\n",
    "plt.subplots_adjust(hspace=0.6)\n",
    "sns.histplot(train_path['Loan_Amount_Term'], ax=axes[1,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Loan_Status based on Married')]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x400 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "\n",
    "fig,axes = plt.subplots(1, 2, squeeze=False)\n",
    "\n",
    "sns.countplot(ax=axes[0,0],x='Loan_Status',hue='Gender',data=train_path).set(title=\"Loan_Status based on Gender\")\n",
    "plt.subplots_adjust(wspace=0.4)\n",
    "sns.countplot(ax=axes[0,1],x='Loan_Status',hue='Married',data=train_path).set(title=\"Loan_Status based on Married\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Loan_Status based on Self_Employed')]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x400 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "\n",
    "fig,axes = plt.subplots(1, 2, squeeze=False)\n",
    "\n",
    "sns.countplot(ax=axes[0,0],x='Loan_Status',hue='Education',data=train_path).set(title=\"Loan_Status based on Education\")\n",
    "plt.subplots_adjust(wspace=0.4)\n",
    "sns.countplot(ax=axes[0,1],x='Loan_Status',hue='Self_Employed',data=train_path).set(title=\"Loan_Status based on Self_Employed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Loan_Status based on Property_Area')]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x400 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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MjKRtaGpqitq1a6fKA/b29hl+Jrlcjg4dOuDw4cPS59+5cyfq1aunEX9m7NmzByqVCk2aNMG7d+/w7t07NGvWDO/evUt12fi/scXGxuL69eto3LgxhBDS5ypXrhwqV64s5eWs7OsZyXeN5t+8eQMgeSf/LysrK6ldSVxcHKZMmYLdu3cjKSkJNjY2cHZ2hp6eXqqkZGxsrPFeLpdnu88QfX19NGzYEA0bNgQAvHz5ElOnTsWhQ4dw/PjxVDt0ilOnTuGXX35BSEgIihQpAjs7OykRZTcWIPmP/apVq7BkyRIcOXIEu3btgr6+Pjw9PTFp0iQUK1Ys3Xmtra013svlclhYWODdu3cAkttt/Pzzzzh37hz09fVRqVIl2NnZacTcr18/FClSBNu3b8esWbMwc+ZMVK1aFePHj0fdunXx5s0bCCFQq1atNGN49eqVtD4LC4sM4/uvlMLjv9Pp6enBwsIC79+/l4b99zcgk8kApN1eJrNevnwJAChZsqR0W/mkSZMwadKkVNO+evVK+r+VlRX09DR3TUtLS+m3/+bNG4SHh8PBwSHN9YaHh0vfa0a/7ZTt86nt+ubNGzx69Cjd9X38ByOr+1KrVq2gVquxceNGLF68GAsWLEDZsmUxYsQItGrVKt35tIk5JmuYY7SbY6ytrbFkyRLpvYGBAUqVKpXmdi1SpEiq+CwsLFLdSJES78fxlSxZMtXyLC0tpc/45s0b7N+/P80ipnjx4hrvPy6i09OxY0csXboUhw8fRt26dXHu3DnMmjXrk/P9144dO6BWq9Msjjdv3oyOHTumG9u7d++gVquxYsUKrFixItX8KXeYZ2Vfz0i+K7jMzc0BIFXDXyD5D03KDuPv749Dhw5h3rx5qFevnrSRv/zyS63E9e2336JixYqYNm2axvCSJUvC398fhw8fRlBQUJrJ8PHjxxg0aBA8PT2xbNkylCtXDjKZDBs2bMCpU6fSXWfKDqtSqTSG//fIuWTJkpg4cSImTJiAu3fv4uDBg1ixYgUsLCwwYcKEdJef8ocnhUqlQlRUFCwtLaFWq+Hj4wN9fX1s27YN9vb20NPTQ1BQEHbv3i3NI5fL0a1bN3Tr1g2RkZE4ceIEli5diiFDhuDMmTMoWrQoTExMsHbt2jRjKF++PG7cuAEAiIyMRKVKldKN779SElJ4eDjKli0rDU9MTERUVFSq5JrTzp49i/Lly6NkyZJSQh85ciRcXV3TjRVI+3NFRETA0tISAFC0aFFUqFAh3eRkY2OTqfhSPn9kZKTG8P+uv2jRonB1dcXIkSPTXI6BgUGm1peeNm3aoE2bNnj//j1Onz6NFStW4KeffoKLi0uafwS0jTnmX8wxb9KcJ0Vu5BgDAwOpgXxWFStWDFFRUVCpVBpFV8oB3sfxRUVFpZo/IiJCOitXtGhR1KtXD71790413X8PEDOjXLlycHV1xYEDB/DmzRuYmprC09MzS8u4desW7t69C19fX9SuXVtj3JEjR7Bu3TrcuXMn3TNuRYoUgUwmQ69evdK80zOlSM6pfT3fXVKsWLEirK2tsW/fPo3hYWFhuHbtmnQUc/nyZbi5ucHT01PaODdv3sTr168/66xFesqWLYuDBw9q3LGRIjQ0FACgVCoBJCeIj928eRPx8fHw8fHBF198ISW5lESYUkH/dz5TU1MA/55JAZJ39JTkAQBXr15FvXr1cOPGDchkMtjb22Po0KFQKpVp3o32sTNnziApKUl6f+jQISQlJcHNzQ1RUVEIDQ1Fp06dUKNGDWmHS7nrJmUbf/vtt5g6dSqA5KMlb29vdOvWDe/evUN0dDRcXV0RExMDIQRq1Kghve7fv49FixYhKSkJzs7OMDIywsGDBzXiS7kckp6UwuaPP/7QGP7HH39ApVLBxcUlw/k/x/Hjx/HPP/9Inf1VqlQJlpaWePLkicbnLFmyJGbPnq1xx19cXJzGH8G4uDicPHlS2rldXV3x/PlzWFpaaizrzJkzWLlyZaa7BahQoQJKly79ye3q6uqK0NBQVKxYUWN9u3fvxrZt27LUDcF/f8M//vgjBg0aBCA5obds2RIDBw5EUlKSxlm/3MQc8y/mmLybYzLD1dUVSUlJqT7Xnj17AEAjvsuXL2sUXTdv3sSTJ0808k5QUBDs7e2lbVi9enX89ttvqTre/a///q5SdOrUCWfPnsW+ffvQqlWrLPdZuH37dhgaGuK7776Dm5ubxqtv376Qy+XYtGlTuvObmpqiWrVqCAkJ0fhtVK1aFQsWLJAuCefUvp4nz3C9ePEizQ4SlUol6tWrh2HDhmHMmDEYPnw42rVrh6ioKCxcuBDFihWTqm9HR0ccOHAAmzZtQuXKlXH37l0sWbIEMpnss9rlpGfo0KG4cOECOnXqhJ49e8LZ2RlyuRz//PMPVq1ahUaNGqFRo0YAADMzMwDJFXijRo3g4OAAPT09zJw5E3369JFu7T5+/DiAf48mU+bbt28fnJycUK5cOTg7O2PdunUoX748ihUrhrVr1yIuLk76UVSrVg1GRkYYOXIkhgwZAisrK5w9exZ37txBz549M/xM4eHhGDJkCHr06IGHDx9izpw5qF+/Pr788kvIZDKULVsWGzZsQKlSpWBmZoZTp05JR5Ep27hOnTpYtWoVrKys4OzsjJcvX2L16tVwdXVF8eLF0bhxY9SpUwcDBw7EwIEDUblyZdy4cQMBAQFo2LChdKp64MCBmDdvHoyNjVG3bl2cOHHik8mwSpUq6NChAwICAhAbG4s6dergzp07WLhwIdzc3KRLMp8jISEB165dA5D8R+vdu3f4+++/sXbtWri5uaF79+4AAIVCgaFDh+Lnn3+GQqGAu7s73r17h8WLF+Ply5epLteNGTMGP/74IywtLREYGIiYmBipPy9vb2+sX78evXv3xoABA1C6dGmcPXsWK1asQPfu3aGvr5+p2GUyGUaMGIHhw4dj/Pjx8PLywrVr11IlqF69emH37t3o1asX+vTpAwsLC+zfvx9btmyRuh/ILDMzM1y9ehXnzp1DtWrVULduXUyYMAG//vorGjVqhHfv3mHhwoWoUKGCdOlIG5hjmGPyS475HI0aNYKbmxvGjx+Ply9fws7ODhcvXsSKFSvQoUMHVKlSRZo2NjYW/fr1w/fff48PHz5g7ty5UCqVUlvGgQMH4ttvv0X//v3RpUsXGBoa4vfff8fRo0cREBCQYRxp/a4AoEWLFpgyZQpu3LgBPz+/LH22hIQE7Nu3D02aNJEODD5WunRpuLq6Yu/evemenQeAYcOGwcfHR9rXVSoVVq1ahevXr2PgwIEAcnBfz3Tz+lzSvXt36Q6c/77Gjh0rTXfw4EHRoUMH4eDgINzc3MSIESPEs2fPpPFRUVFi2LBhwtXVVdSsWVO0adNGrFmzRvj5+Yn69euLpKSkTN2BkxWvXr0SU6ZMES1atBBOTk7C0dFRtG3bVqxYsULEx8dL00VHR4tevXoJBwcH8b///U8IIcSBAwdE69atRY0aNUSDBg3E4MGDxcWLF4Wtra10p8SLFy9Ex44dhYODg5gwYYIQQojQ0FDRp08f4ejoKOrVqyfmzJkjFi9erBF/aGioGDx4sPjyyy+Fg4ODaN26tdi8eXOGn8Xd3V1Mnz5djBs3TtSsWVO4urqKiRMnatxRdOfOHal7AFdXV9G1a1dx8uRJ4eXlJXx9fYUQQiQmJoqAgADh6ekpqlevLr788ksxbtw48fr1a2k5Hz58EL/88oto1KiRcHBwEB4eHmL27NkiLi5OI6a1a9eKpk2biurVq4sePXqIjRs3fvKW7aSkJLF48WLRtGlT4eDgINzd3cWcOXM0lp3W953eb+NjKXcFffyqWbOm6NChg1i5cqXGd57ijz/+EB06dBDVq1cXrq6uYsCAAeLu3bvS+JS7eY4cOSLc3d2Fk5OT6N27t7hz547GciIiIsSYMWPEl19+KapXry5atGghVqxYoXEXjVKpFAEBARrz/fduoZSYWrduLapXry68vb3Fvn37NO5SFCL5Dj1fX19Rp04d4ejoKNq1aye2bt36ye3132177tw50aRJE+Hg4CDd1bZ27VrRqlUr4ejoKFxdXcUPP/ygcUdkTmOOYY7JTzkms7+T9KaNiYkR06dPFw0bNhQODg6iRYsWYuXKlRq5onv37qJbt25iwYIFwtXVVbi6uorRo0drbEMhku8QTelio2bNmuLrr78WR48elcan3An4ce4QIu3fVYrBgweLVq1aZeozfuyPP/7Q6BYjLTt27JDutEwvNiGS7xbv2rWrcHR0FC4uLqJnz57i0qVL0vjM7OuZIROCT5QkyitSOp+8d++erkMhokIi5a7gdevW5ep64+Li0LhxYwwcOFB6LFVBlicvKeYVQohUjUXTolAopDYRRESZxRxDhdHTp0+xc+dOnD17FjKZLNWdhB+360uPXC5Pt21YXsWCKwMXL178ZBsEAJg2bRq8vb1zISIiKkiYY6gwksvlWLduHYoUKYK5c+emaoOVXhc0H+vQoQOmT5+urRC1gpcUMxAdHS3d/ZMRGxsbrXcxQEQFD3MMUWr//PPPJ6exsLDIdBc4eQULLiIiIiIty18XQImIiIjyIRZcRERERFrGgouIiIhIy1hwEREREWlZoe8WIjLyPXjbAFHmyGSApWVRXYdRoDAHEWVNfs1Dhb7gEgJMdkSkM8xBRIUDLykSERERaRkLLiIiIiItY8FFREREpGWFvg0XFQxqtRoq1acfeEoZUyj08t0DYYlSMA8UDAU1D7HgonxNCIF3714jNjZa16EUGMbGpjAzKw6ZTKbrUIgyhXmg4CmIeUinBdfLly/h7++P8+fPw9DQEK1atcKwYcNgaGiIqVOnYt26dRrT+/n5oXv37gCAffv2Yd68eQgPD0eDBg0wZcoUFC9eXBcfg3QoJcmamlrAwMCwQO2cuU0IgYSEeERHRwEAihWz1HFERJnDPFBwFOQ8pLOCSwgBX19fmJmZYcOGDXj79i3Gjh0LuVyOUaNGITg4GMOHD0eHDh2keUxNTQEAN27cwLhx4zBp0iTY2dnB398fY8aMwbJly3T1cUgH1GqVlGRNTc10HU6BYGBgCACIjo5C0aIWBfK0PhUszAMFT0HNQzr7FCEhIbh27RqmTZuGqlWronbt2vD19cW+ffsAAMHBwahWrRqsra2ll7GxMQBg/fr1aNmyJdq3bw87OzvMmDEDJ06cQFhYmK4+DumASqUC8O/OSTkjZXuyLQzlB8wDBVNBzEM6K7isra2xcuVKWFlZaQyPjo5GdHQ0Xr58iQoVKqQ57/Xr11G7dm3pfenSpVGmTBlcv35dmyFTHsXLBzmL25PyI/5uC5aC+H3q7JKimZkZGjZsKL1Xq9VYv3496tati+DgYMhkMixduhQnT56Eubk5evfuLV1efPXqFUqUKKGxPEtLS7x48SLLcRTA77TQ4HenXTJZ6m3MbU5ElD155i7FmTNn4vbt29i2bRtu3boFmUyGSpUqoXv37rh06RL8/PxgamqKZs2aIS4uDgYGBhrzGxgYICEhIcvrzY/PY6JkcXFxeP1aDoVCBj291Cdr27dvjRcvngNIPloyMjJClSpK9O37P9StWy+3w/2kFSuW4sqVy1iyZMVnL+v169e4evUymjZtluV51WoZ5HI5LCyKwMjI6LNjIcrLOnVqK+UJAFAoFChb1gbt23fE11931WFk//rrr6Nwdq4FC4ucuTEsNjYWbds2g1Jph8WLV+bIMunT8kTBNXPmTKxZswZz586FUqlE1apV4e7uDnNzcwCAnZ0dHj58iE2bNqFZs2YwNDRMVVwlJCRIbbyygg+Ozb8SExP+v98dgaQkdZrT+PoOR9Omzf7/tvG3OHjwDwwf/gNmzQpAnTpuuRxxxtRqASHS/yxZsXDhfAgh0Lhx0yzPq1IJqNVqREV9gL5+osa4/PrQWKKMpOQJAEhKSsKVK39j+vQpKFrUDC1bttFpbC9ePMfPP4/G1q17cmyZp0+fgKWlFf755zqePn2CsmVtcmzZlD6dN/2fMmUKVq9ejZkzZ6JFixYAks9GpBRbKSpVqoSXL18CAEqWLImIiAiN8REREbC2ts7y+lMeHMtX/nx9iqmpKSwtrWBlZY1Klapg4MAf4OnZHAsWzMnybyU/ETlwFJHdbU6U36TkCUtLK5QsWQotW7aBi4srTp48puvQcmRf/q+jRw+hYcMmqFSpCg4e/CPHl09p02nBtXDhQmzevBlz5sxB69atpeHz589Hr169NKa9e/cuKlWqBABwcnLC5cuXpXHPnz/H8+fP4eTklCtxU/7Wrp03QkKC8eRJGN6/f48pU/zQvHljfPWVF+bOnYH4+DgAwJUrf6NDh1bYunUzWrVqirZtm2PNmkCNZe3atR2dO7dDs2YNMXiwD4KDg6RxnTq1xY4dW+Hj0wseHvXQq1dX3L17RxofGhqC77/vi6ZN68PXdwDevn2jsezr16+ib98e8PCoj549v8Hx439K4/z9J2LBgjn4+ecxaNq0Pry9W0uJMzBwGQ4c2IcDB/ahU6e2AIA//zyMLl284eFRD927d8bJk8dzcpMSFTh6egro6elj8GAfzJ07A507fwVv79aIifmAV69ews9vNFq29EDr1k0xb95M6arL/v178f33fbFkyQI0a9YI3t6tsXfvLmm5Qgj89ttKfPWVF7y8mmDkyKEa7Y8bNKiNlSuXonXrphg1aig6d24HAOjcuR127tyG5s0b48SJv6Tpk5KS0KpVU/z998VMfa53797h4sXzqFnTGfXqNcDBg/s1irrAwGUYM2Y4Bg36H1q29MDVq5eRkJCAefNmoXXrpmjduikmT/bDu3dvpXlu3Lgm5TJPzwYYMcI31UkR0mHBFRwcjMWLF+N///sfXFxcEB4eLr3c3d1x6dIlBAYG4vHjx9i4cSN27dqFPn36AAC6dOmC3bt3Y+vWrbh79y5GjhyJJk2aoFy5clqJVS5PbiOUky+5nK2PdaVChYoAgIcPQzB9+mRER0djyZJATJs2C3fu3MacOTOkaV+/jsTBg39g7txF+Omnsdi4cS327NkJADh9+iRWr16OH3/8CatWbYCTkzN8ffvj3bt30vyrVi1D9+698Ntvm2Bqaor582cCSL4EPnLkjyhTpixWrdqAJk2aYvfuHdJ8kZERGDnyR7Rq1QZr125Gt27fwd9/Eq5fvypNs337Ftja2mHt2t/RuLEHZs78BdHR0ejSpQc8PJrBw6MZVqxYi6io15gy5Wf06NEbGzduR6tW7TBx4jiNhEmkK5+bXxWKnM2lSUlJOHHiL1y8eB4NGzYGkFxE/fzzZPzyyyzo6xvA1/d7xMXFYuHC5Zg8eTrOnj2NxYsDpGXcuXMLDx7cx7Jlq9Cnjw9mz56OixfPAwC2b/8dhw8fwIQJU7Fs2W8oXrw4hg0bhKSkf7s/OHPmJJYsCcSAAUOwYsUaAMCKFWvQqlUbNGzYGMeO/XvwdenSBejp6cHZ2SVTn+/kyb8gl8tRu7YbGjZsjOfPn2rkFQA4deoEmjVrgYCAJahWzQHLli3C3bu3MXPmfAQELEN0dDT8/EYDSO5ZYOTIH+HqWhfr1m3BnDkL8eTJE6xfvzobW79g01kbrj///BMqlQpLlizBkiVLNMbdu3cP8+fPR0BAAObPn4+yZcti9uzZcHZ2BgA4Oztj8uTJCAgIwNu3b1G/fn1MmTJFK3HK5TKYm5tAocjZ2lSlUuPNmxio1bxGk9uKFEnuQDc4OAinTp3A/v1/SZ3qjho1Hr17d8WQIcMAJPfxM3q0H6pWVcLW1g4PHnTF7t070K5dB2zcuBY9evRG/frJd9v+73/f49y5Mzh8eD86dfoWANCyZVs0atQEAPDtt90wfvwoAMDff1/E27dvMWLEGBgbG6N8+Qq4evUyoqJeAwB27NiK2rVd0bHjNwAAG5tyuH//HrZs2Qgnp+T9oEoVJbp1+w4A0K9ff2zdugmhocGoUcMJhobJfdhYWFjg/v27SEpKgrV1CZQqVRpdunRHlSpV2W8R6ZxcLoO5hTEUckW2lxEXp0BERPo3z/yXEMn592OzZk3D3LnJB1rx8fEwNDTC1193RfPmLbFnz07Uq9cANWokX0E5ffoEIiJeYfny32BmltzR6rBhozBq1FD4+Az8/88lh5/fJFhYFEelSlVw7doV7NmzA66udbFx4zoMGzYKtWold230009j8dVXXjh//iwaNGgEAPjqK2988UUFAMDz588AAObmFjA0NIKnZwtMmDD2/+M0xLFjR+Hu3hQKRea24ZEjh1GnjhuMjIxgb++AEiVK4sCBfahZs5Y0TfHilmjfvtP/b9847NixBStXrkPlylUAAH5+k9G6dVMEBwfB3Nwc333XD99+2w0ymQxlypRFkyYeuHPnVqbiKUx0VnD5+PjAx8cn3fGenp7w9PRMd7y3tze8vb21EZoGuVwGhUKO8RtPIfRVzpwRqFiiGKZ2bQi5XMaCSwdiYj4AACpXrgq1Wo0OHVpqjFer1XjyJLkTXWNjE1StqpTG2draY9Om5EdOPXoUisWLF2DZskXS+ISEBISFPZbe29j8e9bVxKSIdBT78GEIbGzKadzoYW9fDWfPnpaWfebMKTRr9m/XKUlJSShX7os0l51SRH58lJyialVb1KvXAEOHDsIXX5RHgwaN0bZte96BSDonl8ugkCsw6dAkPIx6mK1lmOubo0O5DojXV0H2iQNjA4UByhQrk2p437790bixR/I0BgawtLTSKGBKlfp3nocPQ1Gu3BdSsQUANWo4QqVS4enT5LxRtqyNxh2Fdnb22LVrB2JiYvDq1UtMmDBGo/f0+Ph4jbzx8fr+q04dNxgY6OPChXOoV68BTp48jhkz5mb4uVNERkbg2rXLGDlyHIDk9tKNGjXB/v37MHToSCknlCpVWprn2bMnSExMxIABvTWWpVarERb2CJUrV0HLlm3w++8b8ODBfTx8GIqgoPtSgUr/yhN3KeYHoa/e4u7T17oOg3JAUNADAMDTp2EwNTXFypXrUk1jbW2NW7dupjpqVKvVkMmSE6VKpYKv7zDUru2qMU2RIkWk/+vr62cQiWaxraf377QqlQrNm7dEz559/jPNv7tsWstOq4GtTCbDjBnzcPv2TZw+fRInTx7Dzp3bsHjxClStaptBfIVLQkICvL294efnBzc3N4wePRo7d+5MNZ2bmxvWrl0LAKhduzbev3+vMf7KlSsavwH6tIdRD3E//H625i1hXAKJZZMQr0r47y6VaRYWxTUOYP7r426I0joznHLGLOXfj/dTIDlvyOUyqVf8KVN+xRdflNeY5uMC7r/dHn1MT08PTZo0xYkTf0JfXx9FihTJdHHz119HoVKpMGOGP2bM8AeQnDPUajVOnjyG5s1bplp/SsyLF6+EsbGJxvKKFy+O8PBX6NevB2xt7VG7thvateuAs2dP49atfzIVU2Gi87sUiXLbH3/sga2tPdzc6iE6OhoymQw2NuVgY1MO8fHxWLRoPhISkrtDiI5+L53SB4C7d2+jSpXk0+rlypVHePgraV4bm3JYu3ZVphJNxYqVERb2GNHR0dKwBw/uSf8vV648njwJ01j2qVMncPjwgUx9xo97aX706CEWLpyHatWqw8dnINat24KSJUviwoVzmVpWYRAfH49hw4bhwYMH0rBx48bh9OnT0uv333+HgYEBevbsCQB4+fIl3r9/j6NHj2pMZ2Jikt5qqAD44ovyCAt7rNEG8tatG1L/XQDw5MkTxMTESOPv3r2DypWromjRorCwKI7XryOk/bpkyVJYvDgAjx8/SnN9afW43qyZF86dO4szZ07Cw6NZpntl//PPw3BxccXq1Ruk12+/bUTZsjY4cGBfmvOULWsDhUKBt2/fSjEXKVIEAQFz8Pr1a5w8eQxFixbDjBnz8PXXXeDk5Ixnz55mKp7ChgUXFWjR0dGIjIxAREQEgoODMH/+bPz552EMHvwjKlSoCDe3epg0aTzu3LmFe/fuwt9/ImJjY1C06L99Tf3661SEhATh+PE/sW3b7+jQ4WsAyW2ytmzZhIMH/8DTp0+weHEA/vrrCMqXr/jJuOrUcUPJkqUwffpkPHwYiv379+LPP49I4729O+Pu3TtYvnwxwsIe4/Dhg1i+fJHGqf6MGBkZ4fnzZwgPfwVTU1Ps2rUNv/22Es+ePcXZs6fx/PkzKJV2WdyaBVNQUBC+/vprPH78WGN40aJFNZ7lumDBAnh5eUlNHYKDg2FtbY1y5cppTFcQH0lC/6pTxw1lypTFlCk/Izg4CFeu/I25c2eiWTMvKW/ExsZg1qxpePToIfbs2Yljx46iQ4fkNlHffNMVy5cvwenTJxEW9hjTp0/BP/9cl9ps/ZeRUXKzg6Cg+1IR5+hYE0ZGRti/fx+aNm2eqbifP3+GmzdvoH17b1SqVEXj9dVX3rh8+RLCw1+lms/EpAjatm2PWbOm48qVvxEaGoIpUybg6dMwlC5dBmZmxfDy5Qv8/fdFPH36BOvX/4YTJ/7KVkfkBR0vKVKBFhAwGwEBs/+/bzcLKJV2mD9/KZycagJIbvw5d+4M/PDDQCgUCri5fYmhQ3/SWEbduvUwcGA/GBuboH//gWje3AsA0LRpc7x+/RorVy7F69evUbFiJfz661yNdlbp0dPTw4wZ8/Drr1PRp093VK5c5f+LrNsAkttQ/PrrHCxZsgCbNq2DlVUJDB78o3TK/1NatGiNsWOHo1evLti37yj8/WdiyZIFWLt2NSwsLNC//2C4utbNwpYsuC5evAg3NzcMHToUNWvWTHOac+fO4dKlSzh06JA0LCgoCBUrfrq4poJFoVBg+vQ5mDt3Bnx8voOJSRE0b+4FH59B0jQlSpSEpaUV+vXrAUtLK/j5TYGjY00AQJcuPRATE4OZM/3x4cMH2NlVw5w5CzQuKX7M3NwcLVq0xM8/j8H33w/B1193hUwmg7u7J86cOQk7O/tMxX306GGYm5ujQYPGqca1atUOK1cuxcGD+9Ocd/DgoVi4cB7Gjx+FpKQk1KzpjJkz50OhUMDDoxmuX7+K8eNHQSaTwd6+GgYP/hGBgcuQkJCQ4eXRwkYmtNGrWj4SEZFxT/N6esmPOOk2b1+OteGyK1scG35sg6ioDznSq3hhlZiYgMjI57C0LA19/Zzfqa9c+Ru+vgNw+vTfOb7svCyj7SqTAVZWBbeneVtbW6xduxZubppPIejduze++OILTJo0SRo2YcIE3Lp1C8bGxggNDYW9vT3Gjh2b5SKsMD/tQqFIzq+9N/f+rDZcg6sPgUmxYp+8ZmOkZ4QKxStoNe/u378Xq1Ytx7Zte7W2DgCYNGk8bGzKoW/f/lpdj66k5CErq7TzUH584gXPcBERZSAsLAznz5/HuHHjNIaHhITg7du3GDZsGExNTbFixQr06tULf/zxh9TNSGbkxz8c+V1muo/IrpQ+FrW1jps3b+Du3Ts4deo4Nm7cptXPoksF8ZmuLLiIiDJw6NAh2NvbSzdLpAgMDERiYqJ0R+KsWbPQuHFjHDt2DG3bts308nmGK/fv6NTmGa6Urn60tY4zZ85g8+YN8PEZhBIlSknrmT9/Nvbt25XufD169E5113NeVhCf6cqCiygdtWrVLnSXEym1U6dOoWnT1A8BNzAw0GifYmhoCBsbG+mZr5nFZ1QWLK1atUWrVpkvuLOqb9/+aV5G7NmzDzp2/Drd+dJrI5bXFaT9gwUXEVE6hBD4559/MGDAgFTDmzVrhoEDB0odMMfExODRo0fSM1+JcpOFhQUsLCx0HQZlgAUXEVE6nj59ig8fPqS6nCiTydCkSRMsWLAAZcuWRfHixTF//nyUKlUKjRunvguMiIgFFxFROiIjIwEAxYoVSzXup59+gp6eHoYPH47o6GjUrVsXy5cvz/Qz7YiocGHBRUT0/+7du6fx3snJKdWwFIaGhhg9ejRGjx6dG6ERUT5XMO8nJSIiIspDWHARERERaRkLLirU5HIZ9PTkufZK6RQxs+Lj4zFt2mR4eTXBV1+1wKZN67W0JYgKHgM9fRQxNJZexgZGUCjyzv7dqVNb7N+fukf6/fv3olOntLuWCAxchsGDfbK1PUi32IaLCi25XAZzcxMoFLl33KFSqfHmTYzUOeKnLF48H3fv3sH8+Uvx4sVz+PtPRKlSpeDu7qnlSInyNwM9fThWcIB+Lt7EkNX9mwoXFlxUaMnlMigUcozfeAqhr95qfX0VSxTD1K4NIZfLMpWQY2NjsXfvbsyaNR+2tnawtbVDaGgwtm/fwoKL6BP0FXrQVyjy7P5NhQ8LLir0Ql+9zbEHk+ekoKD7UKmSUKOGkzTM0bEm1q5dDbVaDbmcLQKIPiWv7t+Z8fz5M3Tu3A79+g3A5s0b0Ly5F4oVM4dKlYTp06fgyJGDsLS0Qv/+g9G0aTMAwIcP0Zg/fzbOnj2N6Oj3KFOmLAYMGIJGjZoAABo0qA0/v8lYv/43PHkSBnt7B4wfPwllypTV4SctHJixifKoyMgIFCtmDn19fWlY8eKWSEiIx9u32j9iJ6K84caN6wgMXIfOnbsAAP755wYAYNWqDWjfvhMmTx6PJ0/CACQ/UzEs7BHmzl2Ideu2wMnJGb/+OgWJif8+jzAwcBl+/PEnBAauw9u3b7BixZLc/1CFEAsuojwqLi5Oo9gCIL1PTEzQRUhEpANff90FZcvaoFy5LwAAVlbWGDFiDMqXr4CuXXvA0bEm9u7dBQCoWbMWfvppLKpWtUW5cl+gS5fuePv2LV6/jpSW98033eDiUgeVKlVB+/adcOfObV18rEKHlxSJ8igDA0ONo1IA0nsjIyNdhEREOUhPTw9qtTrVcLVaDT29f/88ly5dRmN81apKjfFKpR0ePQoFAHh5tcapU8exZ89OPHr0EPfu3ZWWmSKlcAOAIkWKQKVKyomPQ5/AM1xEeZS1tTXevn2DpKR/k+Hr15EwNDSEqWlRHUZGRDnB1LQoPnyITjU8Ovq9xj5uYGCgMf6/7TeFUENPL/ns99SpE7Bw4XwULWqG9u07YcaMeamW/3Gxljw/G/nnBhZcRHlU1aq2UCj0cOvWTWnYjRvXYG/vwAbzRAVA5cpVcPPmP6mG3759C1Wr2qY7X0hIiMb7O3duoXz5CvjwIRpHjhzE5Mm/oG/f/mjc2B3v3ye392RRpXu8pEiFXsUSqR9MnBfWY2RkhJYtW2PWrF8wduwEhIeHY9OmdRg7doKWIiSi3NShQycMGNAHa9YEomnT5oiPj8eJE3/hzJmTWLp0dbrzvXz5HHPnzkCHDp1x/PifuHfvHiZPng4DA0MYGRnj+PG/YG5ugcePH2HOnJkAkKp5AuU+FlxUaKnVAiqVGlO7Nsy1dapU6iz10TNkyDDMmjUNvr4DUKSI6f8ftXpoMUKigiWvHlABgJ1dNcycOQ+rV6/E+vVrIJPJoFTaYvbsBahaVYnnz5+lOV/duvXx9u1b9OnTHaVLl8avv86GtXUJAMDPP0/GwoXzsG3bZpQuXRbffdcHK1Yswf37d1G+fIXP+Yj0mWSikJ9njIh4j4y2gJ6eHBYWRdBt3r4c68vFrmxxbPixDaKiPiApKXWDScqcxMQEREY+h6VlaejrG3x6hjTI5bIsP47jc6jVIs93ipjRdpXJACsrth/LSZ/KQQVZSn7tvbk37offz9YyShiXwODqQ2BSrJhGIxn2NJ+/FcQ8xDNcVKjlhwKIiLIuISkRNx7egr7i3z9zBgpDlClWBiqVdg50mU8oIyy4iIioQEpISkRC0r9tl1R6yc0IeGWBdIG3OhERERFpGQsuIiIiIi1jwUVERESkZSy4iIiIiLSMBRcRERGRlrHgIiIiItIyFlxEREREWsZ+uKhQyy89zSckJKBv3+4YOnQkatWqrYXIiAoeAz39VB2fKhTaO8+Q1f27U6e2ePHiufReJpPB1LQonJxqYujQkShZslSOx9ipU1v06eODVq3a5viyKWMsuKjQkstlsDA3hjwXH/2hVqkQ9SY2S0k5Pj4ekyaNR2hoiBYjIypYDPT0UbNCNSgUufdnLjv7t6/vcDRt2ix5frUaDx+GYObMafD3n4iAgKXaCpV0gAUXFVpyuQxyhQIRO0YjMUL7xYy+VSVYeU+HXC7LdEIODQ3BpEnjUcgfeUqUZfoKPSgUenl6/wYAU1NTWFpaSe+trUugX78BmDzZD9HR0TA1NdVGuKQDLLio0EuMCEHiizu6DiNN165dQa1aLvDxGQRPzwa6Doco38nL+3d69PX1AQByuRwNGtRGQMBSqSnB/v17sWrVcmzbthdXrvyNX36ZhLp16+HIkYPo0aM3vvmmG5YuXYA//zyCqKjXsLYugR49euOrr7x1+ZEILLiI8rQOHTrpOgQiykVPnz7BunW/wc2tHkxMTD45/YsXz5GQkIDAwPXQ09PHunWrcfbsaUydOgMWFhY4ePAPzJ07Aw0bNkbx4pa58AkoPSy4iIiIdGTWrGmYO3cGAEClUkFPTx8NGzaCr+/wTC+jW7fvYGNTDgBQpYoSLi6uqF69BgCgR4/eWL16BcLCHrPg0jEWXERERDrSt29/NG7sgZiYD1i1ajmeP3+O/v0Ho1gx80wvo1Sp0tL/GzVqgkuXzmPBgrl4/Pgh7t+/CyC5mCPdYj9cREREOmJhURw2NuWgVNphypRfAQCjRw9HUlJSmtOnVTgZGhpK/1++fDEmT/4Zenp68PJqjWXLftNK3JR1LLiIiIjyAH19fYwePR5BQffx++8bpGExMTHSNM+ePc1wGbt3b8fQoSPx/fdD0LRpc8TGxmo1Zso8XlKkQk/fqlKBWg8R5V/29g5o3for/PZbIFq0aAU7u2rYvv13lC9fAY8ehWL//j3Q1zdId34zs2I4c+YkbG3tEBERgfnzZwFI7jyZdIsFFxVaarWAWqWClff03FunSpWtnuaJKHvy4wFV//6DcPz4n1i8OABDh/6E6dOnomfPb2BnVw19+w7A2rWr0p13zJifMXv2dPTo8Q2sra3Rtm17KBQKPHhwD3Xr1suxGCnrZKKQ96gYEfEeGW0BPT05LCyKoNu8fbj79HWOrNOubHFs+LENoqI+IClJnSPLLIwSExMQGfkclpalMzziy0h+ebRPbspou8pkgJVVUR1FVjB9KgcVZCn5tffm3rgffj9byyhhXAKDqw+BSbFiGo1k8ktP85S2gpiHeIaLCrX8UAARUdYlJCXi2sPbqZ6lWKZYGahU2jnQZT6hjLDgIiKiAikhKREJSYnSe5WegEql5pUF0gnepUhERESkZSy4iIiQfBdXmzZtcOHCBWnY1KlTYWtrq/Fav369NH7fvn3w9PSEk5MTBg0ahNevc6adJxEVPCy4iKjQi4+Px7Bhw/DgwQON4cHBwRg+fDhOnz4tvTp27AgAuHHjBsaNG4fBgwfj999/x7t37zBmzBhdhE9E+QDbcBFRoRYUFIThw4cjrRu2g4OD0bdvX1hbW6cat379erRs2RLt27cHAMyYMQPu7u4ICwtDuXLltB02EeUzPMNFRIXaxYsX4ebmht9//11jeHR0NF6+fIkKFSqkOd/169dRu3Zt6X3p0qVRpkwZXL9+XZvhElE+xTNcRFSode3aNc3hwcHBkMlkWLp0KU6ePAlzc3P07t0bHTp0AAC8evUKJUqU0JjH0tISL168yNL6ZbnXDRxRviOTpd5H8us+w4KLiCgNISEhkMlkqFSpErp3745Lly7Bz88PpqamaNasGeLi4mBgoNkho4GBQZYfoWJpmf86cMzv9PR4cSevU6tlkMuTO8Y1MjLSdTg5ggUXFWp5vaf58PBXmD9/Fi5f/huGhoZo2rQZfHwGwdDQUItREgC0b98e7u7uMDc3BwDY2dnh4cOH2LRpE5o1awZDQ8NUxVVCQgKMjY2ztJ7IyMLb07xCkfwHVVsM9PRTdXyqUMjzTMenSUlJWLMmEAcP7kdExCtYWBSHu3tT9O3bHyYmObtd/P0nAgDGjZuY5XmfP3+Gzp3bYevWPShdukyOxpUelUpArVYjKuoD9PUTNcbJZPnzQIUFFxVacrkM5hbGUMgVubZOlVqFN1GZe/SHEALjx49C0aJFsWjRCrx//w7Tpk2GXK7AoEE/5EK0hZtMJpOKrRSVKlXC+fPnAQAlS5ZERESExviIiIg0G9hnRAgU2oJLmwz09OFUoRr0cvHRPlnZvwFgyZIAXLp0AaNGjUPZsjZ4+vQJ5s+fhbCwMMyYMTdHY/vhhxE5urzcUpD2DxZcVGjJ5TIo5ApMOjQJD6Mean19FSwqYEKLCZDLZZlKyI8fP8KtW/9gz55DKF7cEgDQt29/LFo0nwVXLpg/fz6uXr2K3377TRp29+5dVKqU/JBiJycnXL58Gd7e3gCA58+f4/nz53ByctJFuPQf+go96Cn08uz+DQD79+/DmDE/o3ZtVwBA6dJlMGLEWAwa1A8RERGwsrLKsfhMTU1zbFmUPTotuF6+fAl/f3+cP38ehoaGaNWqFYYNGwZDQ0OEhYXBz88P165dQ5kyZTB27Fg0aNBAmvfs2bP45ZdfEBYWBicnJ/j7+/NWbMqWh1EPs/3gXG0qXtwSs2cvkIqtFB8+ROsoosLF3d0dy5cvR2BgIJo1a4bTp09j165dWLt2LQCgS5cu6NGjB2rWrIkaNWrA398fTZo0YR7KY/Lq/g0kH/RduXIJDRo0glye3K6sevUaWLduC8zNzZGQkIDFiwNw5MgBAICbWz38+OMImJkVky7zzZgxD3Pm/Iq3b9+gdeuv0K5de/j7T8KjR6GoVas2Jk70h4lJEY1LioGBy3D16mUsXLhciqVTp7bo08cHrVq1xeDBPqhcuQrOnj0DlSoJM2fOBwAcO3YUW7duxocPH+Dp2Rw//viT1I5x795d2LRpHZ49e4oiRYrAw6M5fvxxBBQKBfz9J8LMzAzh4eE4c+YkihUzh4/PQHh5tc7Fra17Oms5KISAr68vYmNjsWHDBsydOxfHjh3DvHnzIITAoEGDYGVlhe3bt+Orr77C4MGD8ezZMwDAs2fPMGjQIHh7e2Pbtm0oXrw4Bg4cmGY/OkT5VdGiReHm9qX0Xq1WY8eOLXBxqaPDqAoPR0dHzJ8/H7t370abNm2wbt06zJ49G87OzgAAZ2dnTJ48GYsWLUKXLl1QrFgxTJs2TcdRU37SuXMXbNv2Ozp1aotZs6bh+PE/ER8fj4oVK0FPTw/Lli3C3bu3MXPmfAQELEN0dDT8/EZrLGP9+t8wffocjBw5Dtu2bcbYsT9hwIBBmDNnIW7e/Ad79+7KVmz79+/Fzz9Pxi+/zIKJiQkAYM+enZg06Rf8+uscnD9/FuvWrQYAXL16GfPmzUT//oOwadMOjBgxBn/8sRunT5+Qlrd9+xbY2tph7drf0bixB2bO/AXR0YXr4FFnZ7hCQkJw7do1nDlzRjpt6uvri19//RWNGjVCWFgYNm/eDBMTE1SuXBnnzp3D9u3bMWTIEGzduhXVq1dHnz59AADTpk1D/fr1pf50iAqixYsDcO/ePaxcuUbXoRRY9+7d03jv6ekJT0/PdKf39vaWLikSZVWvXv1QpkxZ7Ny5FXv27MSuXdthYlIEP/wwHE2bNseOHVuwcuU6VK5cBQDg5zcZrVs3RXBwkFQE9erVD1WqVEWVKlUREDAHnp4tUKdOXQBA7dquePToYbZiq1evAWrUSL48/vx58skOX9/hcHSsCQD43/++x5IlC9C3b38YG5tg9Gg/NG7sASD50ujmzRsQGhoiDatSRYlu3b4DAPTr1x9bt25CaGiwtI7CQGcFl7W1NVauXJnqGnV0dDSuX7+OatWqST8oAHBxccG1a9cApO5w0NjYGA4ODrh27RoLLiqQFi8OwNatmzBp0i+oVKmKrsMhohzSvHlLNG/eEm/fvsGFC+exffvvmD59CsqUKYvExEQMGNBbY3q1Wo2wsEewtbUHAJQpU1YaZ2hoiFKlSmu8T0zUvMMvs0qVSn03or29g/R/pdIOr19H4t27d7Czs4ehoSECA5chNDQYwcFBePIkDK6udaXpbWz+vdRepEhye7KkpKRsxZZf6azgMjMzQ8OGDaX3arUa69evR926dREeHp5hh4KfGk9UkMydOwO7dm2Hn99kNGnSVNfhEFEOCAp6gAMH9mHIkKEAgGLFzNG8uRfc3Zvim2/a486dWwCAxYtXwtjYRGPe4sWL4+3btwAAhULzLuuUtmAZkaXRc6hKpdJ4/98+5pLX9e+y1erkrjX09fVx4cI5jBkzAl5erVC3bj307u2D2bOna8yrr6+fanmFrRlQnun9bebMmbh9+zaGDh2K2NjYDDsU/NT4rEjpxTa9l7Z9av186fb70bVVq5Zj167tmDjRH56eLXJ13YV1mxPlBpVKhd9/34D79+9qDNfX14eRkREMDAygUCjw9u1b2NiUg41NORQpUgQBAXPw+vXrz1q3vr4+YmJipPcxMTGIivr0MoODg6T/37lzCyVKlISxsTH27t2J1q3bYeTIcWjTpj3Kl6+Ap0+ffFaMBVGe6BZi5syZWLNmDebOnQulUglDQ0O8efNGY5qEhASpt9n0Ohw0MzPL8rp12XmaNjv8Kwzi4uLw+rUcCoUsWz1HpxytVbCokMORpS1lPR8fJWYkNDQEa9YEomfP3qhVqxbevv03IVpa5tzt4v9VEHt4psIrt/fvzLK1tUO9eg0wevRwDBgwBDVqOCIyMhIHD+5DQkICWrVqi4cPQzFr1nSMHDkWFhbFsWDBXLx8+RylS5fBq1cvsx2rnV01rFy5FH/9dRRVqlTFqlXLIc9Ef4Rz587AqFF+iImJRmDgUnTp0gMAYGZWDDdvXkdwcBBkMhnWr/8NkZER2ToJUpDpvOCaMmUKNm3ahJkzZ6JFi+Qj+JIlSyIoKEhjuoiICOkyYnodDtrb22d5/Z/q5VmbPSFHRX3QWo/HhUFiYgLUajVUKoGkpKxvR7VaQKVWYUKLCVqILm0qtQqJiapM9dNz/PhxqFQqrF69EqtXr9QYd/r039oKsUD28EyFT6IqCUmqpFzfv7PS0/zkydOxZk0gVq1ajlevXsDIyBiurnWxcOEKmJgUweDBQ7Fw4TyMHz8KSUlJqFnTGTNnzk91GTGratd2xTffdMWMGf5QKOT45ptuiIgI/+R8HTp0xujRw5CYmIh27Trg66+Tn0Pap09//PLLRPTv3wtFipjiyy/ro337Tnjw4N4nlli4yIQOL6IuXLgQS5YswezZs+Hl5SUNP3fuHAYNGoSzZ89KR9jfffcdXFxc4Ovrm6pDwtjYWNSvXx+LFy9G3bp101pVuiIiMi649PSSC65u8/bh7tPPO42bwq5scWz4sQ2ioj5kq1CgZImJCYiMfA5Ly9LQ10/d3iAz8vqjfXQho+0qkwFWViy4ctKnclBBlpJfe2/une2+skoYl8Dg6kNgUqxYqkYyaT3ap0yxMnnm0T6UvoKYh3R2his4OBiLFy+Gj48PXFxcEB7+b3Xt6uqK0qVLY8yYMRg4cCCOHTuGGzduSH3cdOzYEYGBgVi+fDnc3d2xaNEi2NjY8A5FyjImSKKCKyEpEQlJ/56lVekJqFRqHuiSTuis0fyff/4JlUqFJUuWoEGDBhovhUKBxYsXIzw8HN7e3tizZw8WLVqEMmWSb1O1sbHBggULsH37dnTq1Alv3rzBokWL0rzzgoiIiEjXdHaGy8fHBz4+PumOL1++PNavX5/u+MaNG6Nx48baCI2IiIgoR+WZbiGIiIiICioWXERElG8JIQAhIGNTzAKlIHaKyoKLiIjyrfeJ75EkkiBjO/gCJSEhHgCgUOi896ocU3A+CRERFTpxqjicf3EejRVNYFzEFEIOiHTunxIqNRIS4qFSFbyzJwWFEAIJCfGIjo6CsbFpph5VlF+w4CIionztyNMjAIC6pepCT6aX7jOoEuV6iEhUSM8BpLzL2NgUZmbFdR1GjmLBRURE+ZqAwOGnh3Hi+QmYGZil20VQBYsKmNZ6Gt6+jeFZrjxModArUGe2UrDgokItr/c0/+RJGObM+RX//HMdRYuaoVOnb9C1a08tRkiUf8Wr4xEel/4jasxNzWFkZITYWBU7P6Vcx4KLCi25XAYLc2PIP/O5ZFmhVqkQ9SY2U0WXWq3GTz/9AHt7B6xatQFPnjzGxInjYGVVAs2be31yfiIiyjtYcFGhJZfLIFcocGfKFMQ8eqT19ZmULw97Pz/I5bJMFVyvX79G1aq2GDFiNExMiqBcuS/g4uKKGzeuaRRcgwf7oFWrtmjVqq02wycios/AgosKvZhHjxB9/4Guw0jFysoKkycnPz9UCIF//rmO69evYNiw0TqOjIiIsooFF1E+0KlTW7x8+QL16jVEkyYeug6HiIiyiAUXUT7g7z8DkZGRmD17OhYsmIPixS2xbt1qAEB8fDxu376JuXNnAACOHDmly1CJiCgNLLiI8gE7u2oAkntfnjzZDzt2/AEPj2YAgEmTxqNJEw80bswzX0REeRULLqI86vXrSNy8+Q8aNWoiDatQoRISExMhk8lhY1MOAGBoaAgLi+LSeyIiynsKXs9iRAXEs2fPMG7cTwgPfyUNu3fvDszNLWBubq67wIiIKMt4hosKPZPy5fPkeuztq8HW1h7Tpk3GkCHD8OLFMyxeHICePftoTLdw4fKcDJOIiLSABRcVWmq1gFqlgr2fX+6tU6XKdE/zCoUC06fPxpw5MzBgQG8YGRmjU6dv0Lnzt1qOkvKavP5EBCL6NBZcVGip1QJRb2Lz9B8yKytr/PLLTC1GRHmdXC6DubkJFIrcawGiUqnx5k0Miy6iHMSCiwo1HslTXieXy6BQyDF+4ymEvnqr9fVVLFEMU7s2zPQTEYgoc1hwERHlA6Gv3uLu09e6DoOIsol3KRIRERFpGQsuIiIiIi1jwUX5nhBsZ5KTuD2JiHIeCy7KtxQKBYDkx91QzknZngoFm3gSEeUUZlTKt+RyBYyNTREdHQUAMDAwhEyWe108FDRCCCQkxCM6OgrGxqaQy3k8RkSUU1hwUb5mZlYcAKSiiz6fsbGptF2JiChnsOCifE0mk6FYMUsULWoBlSpJ1+HkewqFHs9sERFpAQsuKhDkcjnkcgNdh0FERJQmHsoSEQFISEhAmzZtcOHCBWnYtWvX8O2338LZ2RktWrTA1q1bNeZp164dbG1tNV7379/P7dCJKB/gGS4iKvTi4+MxfPhwPHjwQBoWHh6O//3vf+jSpQumT5+OW7duYcyYMbC2tkaTJk2gUqnw8OFDrF+/HhUqVJDms7Cw0MEnIKK8jgUXERVqQUFBGD58eKr+x44ePQorKysMGzYMAFChQgVcuHABe/fuRZMmTfDkyRMkJibC0dERhoaGugidiPIRFlxEVKhdvHgRbm5uGDp0KGrWrCkNb9iwIezt7VNNHx0dDSC5UCtdujSLLSLKFBZcRFSode3aNc3hNjY2sLGxkd5HRkbijz/+wJAhQwAAwcHB0NfXR//+/XHz5k1UrFgRI0eOhKOjY5bWn5e7jsvLsX2ugvzZCrr8+t2x4CIi+oS4uDgMGTIEVlZW+OabbwAAoaGhePv2LTp37gxfX19s2bIF3333Hfbv34/SpUtnetmWlkW1FfZnsbAoousQtKYgfzbKu1hwERFl4MOHDxg4cCAePnyIjRs3wtjYGAAwZcoUxMXFwdTUFAAwceJEXLlyBbt378aAAQMyvfzIyPfI6PGVCoVcJwVCVNQHqFRqra6jIH820h6ZLO8eqGSEBRcRUTqio6PRr18/PH78GGvWrNG4G1FPT08qtoDkTngrVaqEly9fZmkdQiDDgkuX8mpcOaEgfzbKm9gPFxFRGtRqNQYPHownT55g3bp1qFq1qsb4Hj16YOHChRrT37t3D5UqVcrtUIkoH+AZLiKiNGzbtg0XLlzAkiVLYGZmhvDwcACAvr4+zM3N4eHhgUWLFsHe3h4VK1bE2rVr8f79e3To0EHHkRNRXsSCi4goDYcOHYJarUb//v01hru6umLdunXo1asX4uPjMXXqVERERMDJyQmrV6/WuMxIRJSCBRcR0f+7d++e9P/AwMAMp5XJZBgwYECWGsgTUeHFNlxEREREWsaCi4iIiEjLWHARERERaRkLLiIiIiItY8FFREREpGUsuIiIiIi0jAUXERERkZax4CIiIiLSMhZcRERERFrGgouIiIhIy1hwEREREWkZCy4iIiIiLWPBRURERKRlLLiIiIiItIwFFxEREZGWseAiIiIi0jIWXERERERaxoKLiIiISMtYcBERERFpGQsuIiIiIi3LEwVXQkIC2rRpgwsXLkjDpk6dCltbW43X+vXrpfH79u2Dp6cnnJycMGjQILx+/VoXoRMRERF9kp6uA4iPj8fw4cPx4MEDjeHBwcEYPnw4OnToIA0zNTUFANy4cQPjxo3DpEmTYGdnB39/f4wZMwbLli3L1diJiAoqhUL7x+O5sQ6ivEKnBVdQUBCGDx8OIUSqccHBwejbty+sra1TjVu/fj1atmyJ9u3bAwBmzJgBd3d3hIWFoVy5ctoOm4iowLIsagShVsHMzFjXoRAVKDotuC5evAg3NzcMHToUNWvWlIZHR0fj5cuXqFChQprzXb9+Hf/73/+k96VLl0aZMmVw/fp1FlxERJ+hqJEBZHIFInaMRmJEiFbXZVSlASw8fLW6DqK8QqcFV9euXdMcHhwcDJlMhqVLl+LkyZMwNzdH7969pcuLr169QokSJTTmsbS0xIsXL7Icg0yW9bhzkq7XT5QV/L0WHokRIUh8cUer69CzrKjV5RPlJTpvw5WWkJAQyGQyVKpUCd27d8elS5fg5+cHU1NTNGvWDHFxcTAwMNCYx8DAAAkJCVlel6Vl0ZwKO8ssLIrobN1ERESUe/JkwdW+fXu4u7vD3NwcAGBnZ4eHDx9i06ZNaNasGQwNDVMVVwkJCTA2znqbg8jI90ijCZlEoZBrrTCKivoAlUqtlWUTaYNMptuDFCKi/CpPFlwymUwqtlJUqlQJ58+fBwCULFkSERERGuMjIiLSbGD/KUIgw4JL23S5biIiIsodefKe3Pnz56NXr14aw+7evYtKlSoBAJycnHD58mVp3PPnz/H8+XM4OTnlZphEREREmZInCy53d3dcunQJgYGBePz4MTZu3Ihdu3ahT58+AIAuXbpg9+7d2Lp1K+7evYuRI0eiSZMmvEORiIiI8qQ8eUnR0dER8+fPR0BAAObPn4+yZcti9uzZcHZ2BgA4Oztj8uTJCAgIwNu3b1G/fn1MmTJFx1ETERERpS3PFFz37t3TeO/p6QlPT890p/f29oa3t7e2wyIiIiL6bHnykiIRERFRQcKCi4iIiEjLWHARERERaRkLLiIiIiItY8FFREREpGUsuIio0EtISECbNm1w4cIFaVhYWBh69eqFmjVrolWrVjh9+rTGPGfPnkWbNm3g5OSEnj17IiwsLLfDJqJ8hAUXERVq8fHxGDZsGB48eCANE0Jg0KBBsLKywvbt2/HVV19h8ODBePbsGQDg2bNnGDRoELy9vbFt2zYUL14cAwcOhOCzuogoHdkquHr27Il3796lGv769Wv2jUVEWpdTOSgoKAhff/01Hj9+rDH8/PnzCAsLw+TJk1G5cmX0798fNWvWxPbt2wEAW7duRfXq1dGnTx9UrVoV06ZNw9OnT3Hx4sXP+2BEVGBluuPTkydP4saNGwCAS5cuYenSpTAxMdGY5tGjR3j69GnORkhEBO3koIsXL8LNzQ1Dhw5FzZo1peHXr19HtWrVNJbv4uKCa9euSeNr164tjTM2NoaDgwOuXbsGNze3bHw6IiroMl1wVaxYEStXroQQAkIIXLlyBfr6+tJ4mUwGExMT+Pv7ayVQIirctJGDunbtmubw8PBwlChRQmOYpaUlXrx4kanxWSGTZXkWygHc7vlXfv3uMl1wlStXDmvXrgUAjBkzBuPGjYOpqanWAiMi+lhu5qDY2FgYGBhoDDMwMEBCQkKmxmeFpWXR7AdK2WJhUUTXIVAhlK1nKU6bNg1A8lFeUlJSqoaiZcqU+fzIiIjSoe0cZGhoiDdv3mgMS0hIgJGRkTT+v8VVQkICzMzMsryuyMj3yKitvUIhZ4GQw6KiPkClUus6DMommSx/Hqhkq+A6c+YM/Pz88Pz5cwDJd/TIZDLp3zt37uRokEREH9N2DipZsiSCgoI0hkVEREiXEUuWLImIiIhU4+3t7bO8LiGQYcFF2sFtTrktWwXX5MmT4ejoiCVLlvCyIhHlOm3nICcnJyxfvhxxcXHSWa3Lly/DxcVFGn/58mVp+tjYWNy+fRuDBw/O8ViIqGDIVsH14sULrFy5EuXKlcvpeIiIPknbOcjV1RWlS5fGmDFjMHDgQBw7dgw3btyQLmV27NgRgYGBWL58Odzd3bFo0SLY2NjwDkUiSle2+uGqXbu2xtEdEVFu0nYOUigUWLx4McLDw+Ht7Y09e/Zg0aJFUtswGxsbLFiwANu3b0enTp3w5s0bLFq0CLL8evsUEWldts5w1alTB5MmTcLx48dRvnx5jVuzAfC0OhFplTZy0L179zTely9fHuvXr093+saNG6Nx48ZZXg8RFU7ZbjRfvXp1REZGIjIyUmMcj/CISNuYg4gov8lWwbVu3bqcjoOIKNOYg4gov8lWwbVr164Mx7dv3z47iyUiyhTmICLKb7JVcAUEBGi8V6lUiIyMhJ6eHhwdHZnsiEirmIOIKL/JVsH1119/pRr24cMH/Pzzz7C1tf3soIiIMsIcRET5Tba6hUhLkSJFMGTIEKxevTqnFklElGnMQUSUl+VYwQUAd+/ehVrN51MRkW4wBxFRXpWtS4o9evRIdev1hw8fcO/ePfTq1Ssn4iIiShdzEBHlN9kquNJ6fIWBgQFGjBiBL7/88rODIiLKCHMQEeU32Sq4Pu7FOTo6GiqVCsWKFcuxoIiIMsIcRET5TbYKLgBYs2YNVq5ciYiICABA8eLF0aVLFz7Wh4hyBXMQEeUn2Sq4Fi1ahPXr1+OHH36As7Mz1Go1rly5goULF8LAwAA+Pj45HScRkYQ5iIjym2wVXFu2bIG/vz88PDykYfb29ihZsiT8/f2Z7IhIq5iDiCi/yVa3ENHR0ahQoUKq4RUrVsTr168/NyYiogwxBxFRfpOtgsvZ2RmrVq3S6O9GpVIhMDAQjo6OORYcEVFamIOIKL/J1iXFMWPGoFu3bjh79iwcHBwAALdu3UJCQgJWrlyZowESEf0XcxAR5TfZKrgqV66MsWPH4s2bNwgJCYGhoSGOHTuGgIAA2NnZ5XSMREQamIOIKL/J1iXFdevWYeLEiShatCgmTpyIMWPGoEePHhgxYgS2bNmS0zESEWlgDiKi/CZbBdfq1asxe/ZsdOjQQRo2atQozJw5E8uXL8+x4IiI0sIcRET5TbYKrqioKHzxxRephlesWFHqhJCISFuYg4gov8lWweXi4oIFCxYgNjZWGhYfH4+lS5fC2dk5x4IjIkoLcxAR5TfZajT/888/o0+fPmjQoIHUF87jx49hZWWFxYsX52R8RESpMAcRUX6TrYLriy++wP79+3Hq1Ck8fPgQenp6qFChAho0aACFQpHTMRIRaWAOIqL8JtsPrzYwMEDTpk1zMhYiokxjDiKi/CRbbbiIiIiIKPNYcBERERFpGQsuIiIiIi1jwUVERESkZdluNE+UF8jlMsjlshxdplotoFaLHF0mEREVbiy4KN+Sy2UwNzeBQpGzJ2pVKjXevIlh0UVERDmGBRflW3K5DAqFHOM3nkLoq7c5ssyKJYphateGkMtlLLiIiCjHsOCifC/01Vvcffpa12EQERGli43miYiIiLSMBRcRERGRlrHgIiIiItIyFlxEREREWsaCi4iIiEjLeJciEVE6duzYgTFjxqQaLpPJcPfuXXz//ff466+/NMYtXboU7u7uuRUiEeUTLLiIiNLRqlUrNGzYUHqflJSE7777Dk2aNAEABAcHY+bMmfjyyy+laYoVK5bbYRJRPsCCi4goHUZGRjAyMpLeL1u2DEIIjBgxAgkJCXjy5Alq1KgBa2trHUZJRPkB23AREWXCmzdvsGLFCgwfPhwGBgYICQmBTCZDuXLldB0aEeUDPMNFRJQJmzZtQokSJeDl5QUACAkJgampKUaOHImLFy+iVKlSGDJkCBo3bpyl5cpy9tnrlEnc7vlXfv3u8kTBlZCQAG9vb/j5+cHNzQ0AEBYWBj8/P1y7dg1lypTB2LFj0aBBA2mes2fP4pdffkFYWBicnJzg7+/PI00i0gohBLZu3Yp+/fpJw0JCQhAXF4cGDRrAx8cHR44cwffff4/ff/8dNWrUyPSyLS2LaiNkyoCFRRFdh0CFkM4Lrvj4eAwfPhwPHjyQhgkhMGjQICiVSmzfvh1Hjx7F4MGDsX//fpQpUwbPnj3DoEGDMGTIEDRs2BCLFi3CwIEDsWfPHsjya+lLRHnWP//8g5cvX6J169bSsIEDB6JHjx5SI3k7OzvcunULW7ZsyVLBFRn5HiKD56QrFHIWCDksKuoDVCq1rsOgbJLJ8ueBik4LrqCgIAwfPhziP9nm/PnzCAsLw+bNm2FiYoLKlSvj3Llz2L59O4YMGYKtW7eievXq6NOnDwBg2rRpqF+/Pi5evCidISMiyimnTp1C7dq1Ne5AlMvlqe5IrFSpEoKCgrK0bCGQYcFF2sFtTrlNp43mUwqk33//XWP49evXUa1aNZiYmEjDXFxccO3aNWl87dq1pXHGxsZwcHCQxhMR5aQbN26gVq1aGsNGjx6dqo+uu3fvolKlSrkZGhHlEzo9w9W1a9c0h4eHh6NEiRIawywtLfHixYtMjc8KXV+B1PX6KX38blIrrNvkwYMHaNeuncYwDw8PDBs2DG5ubnB2dsbevXtx+fJlTJ48WUdRElFepvM2XGmJjY2FgYGBxjADAwMkJCRkanxW6PI6MNtl5F38buhjERERMDMz0xjWvHlzTJgwAUuWLMGzZ89QtWpVrFy5EjY2NjqKkojysjxZcBkaGuLNmzcawxISEqQOCA0NDVMVVwkJCakSYmbossEqG25+Hn43uS+/Nlb9XDdu3EhzeOfOndG5c+dcjoaI8qM8WXCVLFkyVcPTiIgI6TJiyZIlERERkWq8vb19ltel6warbLiZd/G7ISKinJIne5p3cnLCrVu3EBcXJw27fPkynJycpPGXL1+WxsXGxuL27dvSeCIiIqK8JE8WXK6urihdujTGjBmDBw8eYPny5bhx4wY6deoEAOjYsSOuXLmC5cuX48GDBxgzZgxsbGzYJQQRERHlSXmy4FIoFFi8eDHCw8Ph7e2NPXv2YNGiRShTpgwAwMbGBgsWLMD27dvRqVMnvHnzBosWLWKnp0RERJQn5Zk2XPfu3dN4X758eaxfvz7d6Rs3bpzlZ5YRERHlNLlcBrm8YB7wq9UCajUbtOaEPFNwERER5TdyuQzm5iZQKHLngpFQqyCTK3JlXQCgVqkQ9SaWRVcOYMFFRESUTXK5DAqFHOM3nkLoq7daXVc92zIY1LIWInaMRmJEiFbXBQD6VpVg5T0dcrmMBVcOYMFFRET0mUJfvcXdp6+1uo4K1sl9TSZGhCDxxR2trotyXp5sNE9ERERUkLDgIiIiItIyFlxEREREWsaCi4iIiEjLWHARERERaRkLLiIiIiItY8FFREREpGUsuIiIiIi0jAUXERERkZax4CIiIiLSMhZcRERERFrGgouIiIhIy1hwEREREWkZCy4iIiIiLWPBRURERKRlLLiIiIiItIwFFxEREZGWseAiIiIi0jIWXERERERaxoKLiIiISMtYcBERERFpGQsuIiIiIi1jwUVERESkZXq6DoByhlwug1wuy9FlqtUCarXI0WUSEREVRiy4CgC5XAZzC2Mo5IocXa5KrcKbqFgWXURERJ+JBVcBIJfLoJArMOnQJDyMepgjy6xgUQETWkyAXC5jwUVEVIgpFLnT+qigX1VhwVWAPIx6iPvh93UdBhERFQDyIpZQqVUwMzPOlfUV9KsqLLiIiIgoFbmRWY5fPUlPYbiqwoKLiIiI0sWrJzmD3UIQEaXjyJEjsLW11Xj5+voCAG7fvo3OnTvDyckJHTt2xM2bN3UcLRHlZSy4iIjSERQUBHd3d5w+fVp6TZ06FTExMfDx8UHt2rWxY8cOODs7o3///oiJidF1yESUR7HgIiJKR3BwMJRKJaytraWXmZkZ9u/fD0NDQ4wcORKVK1fGuHHjUKRIERw8eFDXIRNRHsWCi4goHcHBwahQoUKq4devX4eLiwtksuTOhmUyGWrVqoVr167lboBElG+w4CIiSoMQAqGhoTh9+jRatGgBT09PzJo1CwkJCQgPD0eJEiU0pre0tMSLFy+yvB6ZLOMXacentntmX5TzCup2512KRERpePbsGWJjY2FgYIB58+bhyZMnmDp1KuLi4qThHzMwMEBCQkKW12NpWTSnQqZMsrAoousQKB0F+bthwUVElIayZcviwoULKFasGGQyGezt7aFWq/HTTz/B1dU1VXGVkJAAIyOjLK8nMvI9RAbdDikU8gL9R0gXoqI+QKVS58iy+P3krMx8NzJZ/jxQYcFFRJQOc3NzjfeVK1dGfHw8rK2tERERoTEuIiIi1WXGzBACGRZcpB3c5nlXQf1u2IaLiCgNp06dgpubG2JjY6Vhd+7cgbm5OVxcXHD16lWI///LIITAlStX4OTkpKtwiSiPY8GlQwqFHHp6n//KrQeLEhUmzs7OMDQ0xPjx4xESEoITJ05gxowZ6NevH7y8vPDu3Tv4+/sjKCgI/v7+iI2NRcuWLXUdNhHlUbykqAOWRY0gcvGBoESUdaampggMDMQvv/yCjh07okiRIvj222/Rr18/yGQyLFu2DBMmTMCWLVtga2uL5cuXw8TERNdhE1EexYJLB4oaGUAmVyBix2gkRoR89vKMqjSAhYdvDkRGRB+rWrUqVq9eneY4R0dH7Ny5M5cjIqL8igWXDiVGhCDxxZ3PXo6eZcUciIaIiIi0hY1/iIiIiLSMBRcRERGRlrHgIiIiItIyFlxEREREWsaCi4iIiEjLWHARERERaRkLLiIiIiItY8FFREREpGUsuIiIiIi0jAUXERERkZax4CIiIiLSMhZcRERERFrGgouIiIhIy1hwEREREWlZni64jhw5AltbW42Xr68vAOD27dvo3LkznJyc0LFjR9y8eVPH0RIRERGlLU8XXEFBQXB3d8fp06el19SpUxETEwMfHx/Url0bO3bsgLOzM/r374+YmBhdh0xERESUSp4uuIKDg6FUKmFtbS29zMzMsH//fhgaGmLkyJGoXLkyxo0bhyJFiuDgwYO6DpmIiIgolTxfcFWoUCHV8OvXr8PFxQUymQwAIJPJUKtWLVy7di13AyQiIiLKBD1dB5AeIQRCQ0Nx+vRpLFu2DCqVCl5eXvD19UV4eDiqVKmiMb2lpSUePHiQ5fX8f81GGSis26iwfu6McJsQEWVPni24nj17htjYWBgYGGDevHl48uQJpk6diri4OGn4xwwMDJCQkJDl9VhaFs2pkAskC4siug5BJwrr5yYiIu3IswVX2bJlceHCBRQrVgwymQz29vZQq9X46aef4Orqmqq4SkhIgJGRUZbXExn5HkKkP16hkBfqP75RUR+gUql1HUaatPnd5OXPrUsyGQ9SiIiyI88WXABgbm6u8b5y5cqIj4+HtbU1IiIiNMZFRESgRIkSWV6HEMiw4KLCu30K6+cmIqKcl2cbzZ86dQpubm6IjY2Vht25cwfm5uZwcXHB1atXIf7/L6IQAleuXIGTk5OuwiUiIiJKV54tuJydnWFoaIjx48cjJCQEJ06cwIwZM9CvXz94eXnh3bt38Pf3R1BQEPz9/REbG4uWLVvqOmwiIiKiVPJswWVqaorAwEC8fv0aHTt2xLhx4/DNN9+gX79+MDU1xbJly3D58mV4e3vj+vXrWL58OUxMTHQdNhEREVEqeboNV9WqVbF69eo0xzk6OmLnzp25HBERERFR1uXZM1xEREREBQULLiIiIiItY8FFREREpGUsuIiIiIi0jAUXERERkZax4CIiIiLSMhZcRERERFrGgouIiIhIy1hwEREREWkZCy4iIiIiLWPBRUSUjpcvX8LX1xeurq5o2LAhpk2bhvj4eADA1KlTYWtrq/Fav369jiMmorwqTz9LkYhIV4QQ8PX1hZmZGTZs2IC3b99i7NixkMvlGDVqFIKDgzF8+HB06NBBmsfU1FSHERNRXsaCiygNCkXOnvxVqwXUapGjyyTtCgkJwbVr13DmzBlYWVkBAHx9ffHrr79KBVffvn1hbW2t40iJKD9gwUX0EcuiRhBqFczMjHN0uWqVClFvYll05SPW1tZYuXKlVGyliI6ORnR0NF6+fIkKFSroJjgiyndYcBF9pKiRAWRyBSJ2jEZiREiOLFPfqhKsvKdDLpex4MpHzMzM0LBhQ+m9Wq3G+vXrUbduXQQHB0Mmk2Hp0qU4efIkzM3N0bt3b43Li5klk+Vk1JRZ3O5516e+m/z63bHgIkpDYkQIEl/c0XUYlIfMnDkTt2/fxrZt23Dr1i3IZDJUqlQJ3bt3x6VLl+Dn5wdTU1M0a9YsS8u1tCyqpYgpPRYWRXQdAqWjIH83LLiIiD5h5syZWLNmDebOnQulUomqVavC3d0d5ubmAAA7Ozs8fPgQmzZtynLBFRn5HiKDE58KhbxA/xHShaioD1Cp1DmyLH4/OSsz341Mlj8PVFhwUYbYeJwKuylTpmDTpk2YOXMmWrRoAQCQyWRSsZWiUqVKOH/+fJaXLwQyLLhIO7jN866C+t2w4KI0FTcpDqFi43Eq3BYuXIjNmzdjzpw58PLykobPnz8fV69exW+//SYNu3v3LipVqqSDKIkoP2DBRWkqalgUMoUCd6ZMQcyjRzmyTJPy5WHv58fG45QvBAcHY/HixfDx8YGLiwvCw8Olce7u7li+fDkCAwPRrFkznD59Grt27cLatWt1GDER5WUsuChDMY8eIfr+A12HQZTr/vzzT6hUKixZsgRLlizRGHfv3j3Mnz8fAQEBmD9/PsqWLYvZs2fD2dlZR9ESUV7HgouIKA0+Pj7w8fFJd7ynpyc8PT1zMSIiys/4LEUiIiIiLWPBRURERKRlLLiIiIiItIwFFxEREZGWseAiIiIi0jIWXERERERaxm4hiHJJTj4miY9IIiLKX1hwEWmZvIglVOqcfUySSq3Cmyg+IomIKL9gwUWkZXIjMyjkCkw6NAkPox5+9vIqWFTAhBYT+IgkIqJ8hAUXUS55GPUQ98Pv6zoMIiLSATaaJyIiItIyFlxEREREWsaCi4iIiEjLWHARERERaRkLLiIiIiItY8FFREREpGXsFoIon8rJnusB9l5PRKRNLLiI8pniJsUhVDnbcz0AqFUqRL1h7/VERNrAgosonylqWBQyhQJ3pkxBzKNHObJMk/LlYe/nx97riYi0hAUXUT4V8+gRou8/0HUYRESUCWw0T0RERKRlLLiIiIiItIwFFxEREZGWseAiIiIi0jIWXERERERaxoKLiIiISMtYcBERERFpGQsuIiIiIi1jwUVERESkZSy4iIiIiLSMBRcRERGRlrHgIiIiItIyFlxEREREWsaCi4iIiEjLWHARERERaRkLLiIiIiItY8FFREREpGUsuIiIiIi0LF8XXPHx8Rg7dixq166NBg0aYNWqVboOiYgKEeYgIsosPV0H8DlmzJiBmzdvYs2aNXj27BlGjRqFMmXKwMvLS9ehEVEhwBxERJmVbwuumJgYbN26FStWrICDgwMcHBzw4MEDbNiwgcmOiLSOOYiIsiLfXlK8e/cukpKS4OzsLA1zcXHB9evXoVardRgZERUGzEFElBX59gxXeHg4LCwsYGBgIA2zsrJCfHw83rx5g+LFi2dqOXI5IMSnp7MrUxzGBjmzucqXMAMAGJSyh0zf+LOXp2dVEQCgtFLCSM/os5cHAF+YfwEAMK1aFXKjnFmmSbly0v/lOVjq5+XvBsj570eX341MliOrKxDycw7KiDb2gfRoI3dlJGXfAXI2BwG58/3k5ncD5O73k5XvJr/mIZkQmdnV855du3Zh/vz5OHbsmDQsLCwMnp6eOHHiBEqVKqXD6IiooGMOIqKsyLeXFA0NDZGQkKAxLOW9UQ4d9RMRpYc5iIiyIt8WXCVLlkRUVBSSkpKkYeHh4TAyMoKZmZkOIyOiwoA5iIiyIt8WXPb29tDT08O1a9ekYZcvX0aNGjUgz+mL80RE/8EcRERZkW+zgrGxMdq3b4+JEyfixo0bOHr0KFatWoWePXvqOjQiKgSYg4goK/Jto3kAiI2NxcSJE3H48GGYmpqib9++6NWrl67DIqJCgjmIiDIrXxdcRERERPlBvr2kSERERJRfsOAiIiIi0jIWXERERERaxoIrnxo2bBgaN26M2NjYVON69+6Nb7/9Fmyepzu2trYYPnx4quE7duyAh4eHDiIiylnMQXkbc1Dew4Irnxo1ahTev3+PpUuXagw/fPgwLl26hMmTJ0OWXx84VUDs27cP586d03UYRFrBHJT3MQflLSy48qmSJUtiyJAhWL16NcLCwgAAcXFxmD59Onr37g2lUqnjCKls2bKYPHlyqse/EBUEzEF5H3NQ3sKCKx/r0aMHypcvj5kzZwIAVq5cCblcjkGDBuk4MgKAH3/8ES9fvkRgYKCuQyHSCuagvI05KG9hwZWP6enp4eeff8bhw4dx9OhRBAYGYsKECXxwbh5RsmRJ+Pr6YunSpdIZAKKChDkob2MOyltYcOVzderUQdu2bfHDDz/A3d0dDRs21HVI9JGUMwD+/v66DoVIK5iD8jbmoLyDBVcBMGDAACQlJfE0fh6kUCgwceJEHD9+HEePHtV1OERawRyUdzEH5R0suAoAQ0NDjX8pb6lVqxY6duwIf3//NG+hJ8rvmIPyNuagvIEFF1EuGDFiBGJiYth4lYh0gjlI91hwEeUCCwsLjBgxAk+fPtV1KERUCDEH6R4LLqJc0qlTJzg7O+s6DCIqpJiDdEsm+OwFIiIiIq3iGS4iIiIiLWPBRURERKRlLLiIiIiItIwFFxEREZGWseAiIiIi0jIWXERERERaxoKLiIiISMtYcBVytra2uHDhgq7DSNOjR48wZMgQ1KlTB05OTujYsSP27dunMc25c+cQHBycqeUlJCRgy5Yt2giViLKJOYgKCxZclCfFxsaiZ8+esLS0xIYNG7Bnzx54e3tj1KhROHTokDRdr169EBERkall/vHHH1i6dKm2QiaiAoQ5iHKanq4DIErL2bNnERMTg4kTJ0rDypcvj9u3b2PLli1o0aJFlpfJhyoQUWYxB1FO4xkuytCxY8fQoUMHODo6olWrVjh8+LA0Ljo6GmPGjMGXX36J6tWrw8vLC0ePHpXG29raYvfu3WjTpg2qV6+Orl27IiwsLFPrlcvl+PDhA65du6YxfPjw4Zg6dSoAwMPDAwDQs2dPLFiwAACwdetWeHl5oXr16nBzc8OkSZOgUqlw4cIFjBkzBk+fPoWtrS2ePHmCHj16SPMBwJMnT6RxALB//360aNECNWrUQKtWrTQ+GxHlDuYg5qACQ1ChplQqxfnz59Mcd/bsWeHg4CBWr14tQkJCxKpVq0S1atXEP//8I4QQYvTo0eKbb74Rt2/fFqGhoWLcuHHC1dVVxMfHS8tu2rSpOHv2rLh3757w8vISw4YNy1RccXFxolWrVsLW1lZ8++23YsGCBeLatWsa00RGRgqlUikOHTokoqOjxYULF4Sjo6M4dOiQCAsLEwcOHBDVq1cXhw4dEvHx8eK3334TjRo1Eq9evRJJSUmie/fuIiAgQFpeWFiYUCqVIiwsTERERAgHBwexfft28eTJE7Fy5UpRo0YNERUVlY2tTETpYQ5iDioseIaL0rVhwwa0aNECvXr1QsWKFdG7d280b94cq1atAgDUqVMHkydPhr29PSpUqIA+ffrgzZs3iIyMlJbRu3dvfPnll1AqlejSpQtu3ryZqXUbGhpi48aN6N27N168eIEFCxbg66+/RocOHfDw4UMAQPHixQEAxYoVQ5EiRWBiYgJ/f380b94cNjY28PLyQrVq1fDgwQMYGBigaNGiUCgUsLa2hkKhyHD9L1++RGJiIkqVKoWyZcuiT58+WLx4MQwNDbOxJYkoO5iDmIMKErbhonQFBwfj22+/1Rjm7OyM7du3AwDat2+Po0ePYsuWLQgJCcGtW7cAACqVSpq+fPny0v9NTU2RmJiY6fUXK1YMo0aNwqhRo3D//n38+eefWL16NXx9fbFnz55U01evXh1GRkYICAhAUFAQ7t27h0ePHqFBgwZZ+twAYG9vjyZNmqB3796oWLEimjZtis6dO8PY2DjLyyKi7GEOYg4qSHiGi9KV1pGUWq2GWq0GAIwcORK//vorzMzM0KVLFyxbtizV9Pr6+tla95YtW7B//37pvVKpxPfff49Zs2bh3r17eP36dap5Tp06BW9vb0RERKBhw4YICAhArVq1Mr3Oj5O0TCbDsmXLsHXrVrRo0UJqR3Lnzp1sfR4iyjrmIOaggoRnuChdFStWxPXr1zWGXb16FRUrVkR0dDT27duHLVu2wNHREQBw4sQJADlzJ879+/dx+fJleHl5QS7/97jAzMwMBgYGMDU1TTXP1q1b0bFjR0yYMAEAkJSUhMePH6Nu3boAkhPYxwwMDPDhwwfp/ceNaYODg7Ft2zaMGjUKjo6O+PHHH9G6dWucOnUK9vb2n/35iOjTmIOYgwoSFlyEGzduID4+XmNYnTp10KtXL3Tt2hVr1qxB48aNcfz4cRw5cgSBgYEwMDCAsbExDh8+jOLFiyM0NBSTJ08GkNy53+fq2bMndu3ahcGDB6Nv374oUaIEgoKCMGfOHHTr1g0GBgYAABMTEzx48ADVqlWDubk5rl69inv37kEul2PZsmUIDw+X4jE2Nsbbt2/x8OFD2NjYoHr16ti1axdatWoFAAgICJDWb2Zmhk2bNqFo0aJo27YtgoKC8PTpU1SrVu2zPxsRaWIOYg4qFHTdap90S6lUpvl6+PChEEKIffv2iRYtWggHBwfRpk0bcejQIWneI0eOCE9PT+Ho6ChatWoltm7dKurXry/27t0rLfvju4+2b98u3N3dMx3b/fv3xaBBg0TdunWFg4ODaNasmVi2bJlISkqSppk9e7aoUaOG8Pf3Fy9fvhR9+vQRTk5Oon79+mLs2LFiwoQJok+fPkIIIaKiokSHDh1E9erVxY0bN0RUVJQYMGCAqFGjhvD09BTHjh2T7hASQoiTJ0+Kdu3aiRo1aogmTZqI3377LfsbmojSxBzEHFRYyIRgT2xERERE2sRG80RERERaxjZclOsOHTqE0aNHpzvexcUFK1euzMWIiKgwYQ4iXeAlRcp1Hz58yPBhr0ZGRihZsmQuRkREhQlzEOkCCy4iIiIiLWMbLiIiIiItY8FFREREpGUsuIiIiIi0jAUXERERkZax4CIiIiLSMhZcRERERFrGgouIiIhIy1hwEREREWnZ/wG/Nd+1A7R3VAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "\n",
    "fig,axes = plt.subplots(1, 2, squeeze=False)\n",
    "\n",
    "sns.countplot(ax=axes[0,0],x='Loan_Status',hue='Dependents',data=train_path).set(title=\"Loan_Status based on Dependents\")\n",
    "plt.subplots_adjust(wspace=0.4)\n",
    "sns.countplot(ax=axes[0,1],x='Loan_Status',hue='Property_Area',data=train_path).set(title=\"Loan_Status based on Property_Area\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\Keith\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\axisgrid.py:712: UserWarning: Using the countplot function without specifying `order` is likely to produce an incorrect plot.\n",
      "  warnings.warn(warning)\n",
      "c:\\Users\\Keith\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(data=train_path,col='Married',row='Gender')\n",
    "\n",
    "g.map(sns.countplot,'Loan_Status',palette=\"tab10\")\n",
    "plt.subplots_adjust(wspace = 0.75,hspace=0.25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\Keith\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\axisgrid.py:712: UserWarning: Using the countplot function without specifying `order` is likely to produce an incorrect plot.\n",
      "  warnings.warn(warning)\n",
      "c:\\Users\\Keith\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(data=train_path,col='Education',row='Gender')\n",
    "\n",
    "g.map(sns.countplot,'Loan_Status', palette=\"tab10\")\n",
    "plt.subplots_adjust(wspace = 0.75,hspace=0.25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Loan_Status', ylabel='ApplicantIncome'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='Loan_Status',y='ApplicantIncome',data=train_path,hue='Education')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\Keith\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1d64852d750>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1096.25x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.lmplot(x='ApplicantIncome',y='LoanAmount',data= train_path , col='Self_Employed', hue='Gender',palette= [\"Red\" , \"Blue\",\"Yellow\"])\n",
    "g.set(ylim=(0, 800))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Encoding"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now encode the 'categorical variables' i.e. 'objects' into 'floats'. We dp this with the help of Label Encoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Categorical variables: 7\n"
     ]
    }
   ],
   "source": [
    "obj = (train_path.dtypes == 'object')\n",
    "print(\"Categorical variables:\",len(list(obj[obj].index)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "label_encoder = preprocessing.LabelEncoder()\n",
    "cols = ['Gender','Married','Education','Self_Employed','Property_Area','Loan_Status','Dependents']\n",
    "for col in cols:\n",
    "  train_path[col] = label_encoder.fit_transform(train_path[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Categorical variables: 0\n"
     ]
    }
   ],
   "source": [
    "obj = (train_path.dtypes == 'object')\n",
    "print(\"Categorical variables:\",len(list(obj[obj].index)))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "  \n",
    "sns.heatmap(train_path.corr(),cmap='BrBG',fmt='.2f',linewidths=2,annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the 'Loan_Status' of a person can be heavly affected by their 'Credit_History'"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model Training"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are training the model in order to determine whether a person will get a Loan or not. In order to do that we need to make the model to predict/determine the 'Loan_Status'of a person."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((429, 11), (185, 11), (429,), (185,))"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "  \n",
    "x_status = train_path.drop(['Loan_Status'],axis=1)\n",
    "y_status = train_path['Loan_Status']\n",
    "x_status.shape,y_status.shape\n",
    "  \n",
    "x_train, x_test, y_train, y_test = train_test_split(x_status, y_status, test_size=0.3,random_state=42)\n",
    "x_train.shape, x_test.shape, y_train.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#knn = KNeighborsClassifier(n_neighbors=3)\n",
    "#rfc = RandomForestClassifier(n_estimators = 7)\n",
    "#logr = LogisticRegression()\n",
    "#linr = LinearRegression()\n",
    "#svc = SVC()\n",
    "#gbc = GradientBoostingClassifier()\n",
    "#gaussian = GaussianNB()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "#from sklearn.model_selection import StratifiedKFold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "#x_train,x_test = x_status.loc[train_index],x_status.loc[test_index]\n",
    "#y_train,y_test = y_status[train_index],y_status[test_index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "#i=1\n",
    "#mean_train = 0\n",
    "#mean_test = 0\n",
    "#kf = StratifiedKFold(n_splits=5,random_state=42,shuffle=True)\n",
    "#for train_index,test_index in kf.split(x_status,y_status):\n",
    "    #print ('\\n{} of kfold {} '.format(i,kf.n_splits))\n",
    "    #####\n",
    "    #model = RandomForestClassifier()\n",
    "    #model.fit(x_train,y_train)\n",
    "    #y_train_pred=model.predict(x_test)\n",
    "    #y_test_pred= model.predict(x_train)\n",
    "    #score_train=accuracy_score(y_test,y_train_pred)\n",
    "    #score_test=accuracy_score(y_train,y_test_pred)\n",
    "    #mean_train += score_train\n",
    "    #mean_test += score_test\n",
    "    #print ('accuracy_score of train:',score_train)\n",
    "    #print ('accuracy_score of test:',score_test)\n",
    "    #i+=1\n",
    "\n",
    "#print ('\\n Mean Validation Accuracy',mean_train/(i-1))\n",
    "#print ('\\n Mean Validation Accuracy',mean_test/(i-1))\n",
    "\n",
    "#plt.figure(figsize=(10,4))\n",
    "#labels = [\"1st Fold\", \"2nd Fold\", \"3rd Fold\", \"4th Fold\", \"5th Fold\"]\n",
    "#X_axis = np.arange(len(labels))\n",
    "#ax = plt.gca()\n",
    "#plt.ylim(0.40000, 1)\n",
    "#plt.bar(X_axis-0.2, score_train, 0.4, color='blue', label='Train')\n",
    "#plt.bar(X_axis+0.2, score_test, 0.4, color='red', label='Test')\n",
    "#plt.xticks(X_axis, labels)\n",
    "#plt.legend()\n",
    "#plt.grid(True)\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "def clf(model_clf,x_status, y_status,x_train, x_test, y_train, y_test):\n",
    "        model_clf.fit(x_train, y_train)\n",
    "        y_train_pred = model_clf.predict(x_test)\n",
    "        #y_test_pred= model_clf.predict(x_train)\n",
    "        train_accuracy = model_clf.score(x_test,y_test)\n",
    "        \n",
    "        class_train_rep = classification_report(y_test,y_train_pred)\n",
    "        \n",
    "        print(model_clf.__class__.__name__, \"Train :\",\"\\n\",class_train_rep)\n",
    "        print(\"r2 score of\", model_clf.__class__.__name__, \"=\",r2_score(y_test, y_train_pred),\"\\n\")\n",
    "        print(\"Cross Validation Score of\", model_clf.__class__.__name__, \"=\",np.mean(cross_val_score(model_clf,x_train,y_train,cv=5)),\"\\n\")\n",
    "        print(\"Training Accuracy:\",train_accuracy)\n",
    "\n",
    "        cm = confusion_matrix(y_test,y_train_pred)\n",
    "        #print(\"Confusion Matrix: \\n\", cm)\n",
    "        cmhm = sns.heatmap(cm,annot=True,fmt='g')\n",
    "        cmhm.set_xlabel(\"Predicted\", labelpad=20)\n",
    "        cmhm.set_ylabel(\"Actual\", labelpad=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### K-Nearest Neighbors Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KNeighborsClassifier Train : \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.26      0.12      0.17        65\n",
      "           1       0.63      0.81      0.71       120\n",
      "\n",
      "    accuracy                           0.57       185\n",
      "   macro avg       0.44      0.47      0.44       185\n",
      "weighted avg       0.50      0.57      0.52       185\n",
      "\n",
      "r2 score of KNeighborsClassifier = -0.8974358974358976 \n",
      "\n",
      "Cross Validation Score of KNeighborsClassifier = 0.6737893296853625 \n",
      "\n",
      "Training Accuracy: 0.5675675675675675\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "KNC = KNeighborsClassifier()\n",
    "model_clf = KNC\n",
    "clf(model_clf,x_status, y_status,x_train, x_test, y_train, y_test)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RandomForestClassifier Train : \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.86      0.46      0.60        65\n",
      "           1       0.77      0.96      0.85       120\n",
      "\n",
      "    accuracy                           0.78       185\n",
      "   macro avg       0.81      0.71      0.73       185\n",
      "weighted avg       0.80      0.78      0.76       185\n",
      "\n",
      "r2 score of RandomForestClassifier = 0.05128205128205121 \n",
      "\n",
      "Cross Validation Score of RandomForestClassifier = 0.818139534883721 \n",
      "\n",
      "Training Accuracy: 0.7837837837837838\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "RFC = RandomForestClassifier()\n",
    "model_clf = RFC\n",
    "clf(model_clf,x_status, y_status,x_train, x_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Decision Tree Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DecisionTreeClassifier Train : \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.50      0.46      0.48        65\n",
      "           1       0.72      0.75      0.73       120\n",
      "\n",
      "    accuracy                           0.65       185\n",
      "   macro avg       0.61      0.61      0.61       185\n",
      "weighted avg       0.64      0.65      0.65       185\n",
      "\n",
      "r2 score of DecisionTreeClassifier = -0.5416666666666667 \n",
      "\n",
      "Cross Validation Score of DecisionTreeClassifier = 0.7014774281805745 \n",
      "\n",
      "Training Accuracy: 0.6486486486486487\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "DTC = DecisionTreeClassifier()\n",
    "model_clf = DTC\n",
    "clf(model_clf,x_status, y_status,x_train, x_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Support Vector Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SVC Train : \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.00      0.00      0.00        65\n",
      "           1       0.65      1.00      0.79       120\n",
      "\n",
      "    accuracy                           0.65       185\n",
      "   macro avg       0.32      0.50      0.39       185\n",
      "weighted avg       0.42      0.65      0.51       185\n",
      "\n",
      "r2 score of SVC = -0.5416666666666667 \n",
      "\n",
      "Cross Validation Score of SVC = 0.7016415868673052 \n",
      "\n",
      "Training Accuracy: 0.6486486486486487\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\Keith\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1469: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "c:\\Users\\Keith\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1469: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "c:\\Users\\Keith\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1469: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SVC = SVC()\n",
    "model_clf = SVC\n",
    "clf(model_clf,x_status, y_status,x_train, x_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fine-Tuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RandomForestClassifier Train : \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.93      0.42      0.57        65\n",
      "           1       0.76      0.98      0.86       120\n",
      "\n",
      "    accuracy                           0.78       185\n",
      "   macro avg       0.84      0.70      0.71       185\n",
      "weighted avg       0.82      0.78      0.76       185\n",
      "\n",
      "r2 score of RandomForestClassifier = 0.05128205128205121 \n",
      "\n",
      "Cross Validation Score of RandomForestClassifier = 0.7855540355677155 \n",
      "\n",
      "Training Accuracy: 0.7837837837837838\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_clf = RandomForestClassifier(n_estimators=100,min_samples_split=25, max_depth=7,max_features=1)\n",
    "clf(model_clf,x_status, y_status,x_train, x_test, y_train, y_test)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Testing the Model on the Test Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>Loan_ID</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Married</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>Education</th>\n",
       "      <th>Self_Employed</th>\n",
       "      <th>ApplicantIncome</th>\n",
       "      <th>CoapplicantIncome</th>\n",
       "      <th>LoanAmount</th>\n",
       "      <th>Loan_Amount_Term</th>\n",
       "      <th>Credit_History</th>\n",
       "      <th>Property_Area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LP001015</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>5720</td>\n",
       "      <td>0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LP001022</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>3076</td>\n",
       "      <td>1500</td>\n",
       "      <td>126.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LP001031</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>5000</td>\n",
       "      <td>1800</td>\n",
       "      <td>208.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LP001035</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>2340</td>\n",
       "      <td>2546</td>\n",
       "      <td>100.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LP001051</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Not Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>3276</td>\n",
       "      <td>0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Loan_ID Gender Married Dependents     Education Self_Employed  \\\n",
       "0  LP001015   Male     Yes          0      Graduate            No   \n",
       "1  LP001022   Male     Yes          1      Graduate            No   \n",
       "2  LP001031   Male     Yes          2      Graduate            No   \n",
       "3  LP001035   Male     Yes          2      Graduate            No   \n",
       "4  LP001051   Male      No          0  Not Graduate            No   \n",
       "\n",
       "   ApplicantIncome  CoapplicantIncome  LoanAmount  Loan_Amount_Term  \\\n",
       "0             5720                  0       110.0             360.0   \n",
       "1             3076               1500       126.0             360.0   \n",
       "2             5000               1800       208.0             360.0   \n",
       "3             2340               2546       100.0             360.0   \n",
       "4             3276                  0        78.0             360.0   \n",
       "\n",
       "   Credit_History Property_Area  \n",
       "0             1.0         Urban  \n",
       "1             1.0         Urban  \n",
       "2             1.0         Urban  \n",
       "3             NaN         Urban  \n",
       "4             1.0         Urban  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_path.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(test_path.isnull(),yticklabels=False,cbar=False,cmap='viridis')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_path ['Gender'] = test_path ['Gender'].fillna(test_path['Gender'].mode()[0])\n",
    "test_path ['Married'] = test_path ['Married'].fillna(test_path['Married'].mode()[0])\n",
    "test_path ['Dependents'] = test_path ['Dependents'].fillna(test_path['Dependents'].mode()[0])\n",
    "test_path ['Self_Employed'] = test_path ['Self_Employed'].fillna(test_path['Self_Employed'].mode()[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_path ['LoanAmount'] = test_path ['LoanAmount'].fillna(test_path['LoanAmount'].mean())\n",
    "test_path ['Loan_Amount_Term'] = test_path ['Loan_Amount_Term'].fillna(test_path['Loan_Amount_Term'].mean())\n",
    "test_path ['Credit_History'] = test_path ['Credit_History'].fillna(test_path['Credit_History'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(test_path.isnull(),yticklabels=False,cbar=False,cmap='viridis')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "label_encoder = preprocessing.LabelEncoder()\n",
    "cols = ['Gender','Married','Education','Self_Employed','Property_Area','Dependents']\n",
    "for col in cols:\n",
    "  test_path[col] = label_encoder.fit_transform(test_path[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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>Loan_ID</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Married</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>Education</th>\n",
       "      <th>Self_Employed</th>\n",
       "      <th>ApplicantIncome</th>\n",
       "      <th>CoapplicantIncome</th>\n",
       "      <th>LoanAmount</th>\n",
       "      <th>Loan_Amount_Term</th>\n",
       "      <th>Credit_History</th>\n",
       "      <th>Property_Area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LP001015</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5720</td>\n",
       "      <td>0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LP001022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3076</td>\n",
       "      <td>1500</td>\n",
       "      <td>126.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LP001031</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5000</td>\n",
       "      <td>1800</td>\n",
       "      <td>208.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LP001035</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2340</td>\n",
       "      <td>2546</td>\n",
       "      <td>100.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>0.825444</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LP001051</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3276</td>\n",
       "      <td>0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Loan_ID  Gender  Married  Dependents  Education  Self_Employed  \\\n",
       "0  LP001015       1        1           0          0              0   \n",
       "1  LP001022       1        1           1          0              0   \n",
       "2  LP001031       1        1           2          0              0   \n",
       "3  LP001035       1        1           2          0              0   \n",
       "4  LP001051       1        0           0          1              0   \n",
       "\n",
       "   ApplicantIncome  CoapplicantIncome  LoanAmount  Loan_Amount_Term  \\\n",
       "0             5720                  0       110.0             360.0   \n",
       "1             3076               1500       126.0             360.0   \n",
       "2             5000               1800       208.0             360.0   \n",
       "3             2340               2546       100.0             360.0   \n",
       "4             3276                  0        78.0             360.0   \n",
       "\n",
       "   Credit_History  Property_Area  \n",
       "0        1.000000              2  \n",
       "1        1.000000              2  \n",
       "2        1.000000              2  \n",
       "3        0.825444              2  \n",
       "4        1.000000              2  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_path.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_path.drop(['Loan_ID'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "predict = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "RFC = RandomForestClassifier()\n",
    "RFC.fit(x_train, y_train)\n",
    "pred_lr = RFC.predict(test_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'SVC' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[61], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m SVC \u001b[39m=\u001b[39m SVC()\n\u001b[0;32m      2\u001b[0m SVC\u001b[39m.\u001b[39mfit(y_test, y_train)\n\u001b[0;32m      3\u001b[0m pred_rfc \u001b[39m=\u001b[39m SVC\u001b[39m.\u001b[39mpredict(test_path)\n",
      "\u001b[1;31mTypeError\u001b[0m: 'SVC' object is not callable"
     ]
    }
   ],
   "source": [
    "SVC = SVC()\n",
    "SVC.fit(y_test, y_train)\n",
    "pred_rfc = SVC.predict(test_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "predict = np.zeros((test_path.shape[0]))\n",
    "\n",
    "for i in range(0,test_path.shape[0]):\n",
    "    temp = pred_lr[i] + pred_rfc[i]\n",
    "    if temp>=2:\n",
    "        predict[i] = 1\n",
    "predict = predict.astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_path = pd.read_csv(\"test_Y3wMUE5_7gLdaTN.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_path['Loan_Status'] = predict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_path['Loan_Status'] = test_path['Loan_Status'].map({0:'N', 1:'Y'})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_path.to_csv('results.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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