Loan_ml_project/Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "61cdcd35-10a3-42a9-8253-a6f4cd46625a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "de243f5d-e564-428a-8b3a-8ef4870c55c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>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>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>5849</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>1</th>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1.0</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>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.0</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>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.0</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>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>0.0</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": [
       "  Gender Married  Dependents     Education Self_Employed  ApplicantIncome  \\\n",
       "0   Male      No         0.0      Graduate            No             5849   \n",
       "1   Male     Yes         1.0      Graduate            No             4583   \n",
       "2   Male     Yes         0.0      Graduate           Yes             3000   \n",
       "3   Male     Yes         0.0  Not Graduate            No             2583   \n",
       "4   Male      No         0.0      Graduate            No             6000   \n",
       "\n",
       "   CoapplicantIncome  LoanAmount  Loan_Amount_Term  Credit_History  \\\n",
       "0                0.0         0.0             360.0             1.0   \n",
       "1             1508.0       128.0             360.0             1.0   \n",
       "2                0.0        66.0             360.0             1.0   \n",
       "3             2358.0       120.0             360.0             1.0   \n",
       "4                0.0       141.0             360.0             1.0   \n",
       "\n",
       "  Property_Area Loan_Status  \n",
       "0         Urban           Y  \n",
       "1         Rural           N  \n",
       "2         Urban           Y  \n",
       "3         Urban           Y  \n",
       "4         Urban           Y  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load the dataset\n",
    "data = pd.read_csv(\"LoanApprovalPrediction.csv\")\n",
    "\n",
    "# Display the first few rows of the dataset\n",
    "data.head(5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2b0e4ca5-28ff-4584-80f1-e2087e561582",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Categorical variables: 6\n"
     ]
    }
   ],
   "source": [
    "# Identify categorical columns\n",
    "obj = (data.dtypes == 'object')\n",
    "print(\"Categorical variables:\", len(list(obj[obj].index)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "54a3afd4-feab-49a0-80d5-ba71fd66802d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1800x3600 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "obj = (data.dtypes == 'object') \n",
    "object_cols = list(obj[obj].index) \n",
    "plt.figure(figsize=(18,36)) \n",
    "index = 1\n",
    "\n",
    "for col in object_cols: \n",
    "    y = data[col].value_counts() \n",
    "    plt.subplot(11,4,index) \n",
    "    plt.xticks(rotation=90) \n",
    "    sns.barplot(x=list(y.index), y=y) \n",
    "    index +=1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6816d964-59a6-4557-b64b-440d5bbadf3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import preprocessing\n",
    "\n",
    "# Initialize LabelEncoder\n",
    "label_encoder = preprocessing.LabelEncoder()\n",
    "\n",
    "# Convert categorical columns to numeric using LabelEncoder\n",
    "obj = (data.dtypes == 'object')\n",
    "for col in list(obj[obj].index):\n",
    "    data[col] = label_encoder.fit_transform(data[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "80496c4e-67fd-4595-9f74-72a9923697d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Categorical variables: 0\n"
     ]
    }
   ],
   "source": [
    "# Verify no more categorical variables\n",
    "obj = (data.dtypes == 'object')\n",
    "print(\"Categorical variables:\", len(list(obj[obj].index)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d6e6f323-ef7e-4a25-841e-7e8cc4328f80",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5849</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</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>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gender  Married  Dependents  Education  Self_Employed  ApplicantIncome  \\\n",
       "0       1        0         0.0          0              0             5849   \n",
       "1       1        1         1.0          0              0             4583   \n",
       "2       1        1         0.0          0              1             3000   \n",
       "3       1        1         0.0          1              0             2583   \n",
       "4       1        0         0.0          0              0             6000   \n",
       "\n",
       "   CoapplicantIncome  LoanAmount  Loan_Amount_Term  Credit_History  \\\n",
       "0                0.0         0.0             360.0             1.0   \n",
       "1             1508.0       128.0             360.0             1.0   \n",
       "2                0.0        66.0             360.0             1.0   \n",
       "3             2358.0       120.0             360.0             1.0   \n",
       "4                0.0       141.0             360.0             1.0   \n",
       "\n",
       "   Property_Area  Loan_Status  \n",
       "0              2            1  \n",
       "1              0            0  \n",
       "2              2            1  \n",
       "3              2            1  \n",
       "4              2            1  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f21d68dd-55b4-40c8-8fbf-0d107a75bd72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 9,
     "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": [
    "# Plot the correlation heatmap\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.heatmap(data.corr(), cmap='BrBG', fmt='.2f', linewidths=2, annot=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8c86eef2-ffca-49af-bb7f-e6458657c41f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill missing values with the mean of the respective columns\n",
    "for col in data.columns:\n",
    "    data[col] = data[col].fillna(data[col].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9ee93041-1fc9-4cc1-aee1-8dbf3a9a8e6f",
   "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": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for any remaining missing values\n",
    "data.isna().sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "90e9aabd-eb99-4fdd-a02e-ea773597f03b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# Define features (X) and target variable (Y)\n",
    "X = data.drop(['Loan_Status'], axis=1)\n",
    "Y = data['Loan_Status']\n",
    "\n",
    "# Split data into training and testing sets (60% training, 40% testing)\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.4, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "67783ebb-9069-4538-9914-e4b0ac653692",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((358, 11), (240, 11), (358,), (240,))"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Display shapes of training and testing sets\n",
    "X_train.shape, X_test.shape, Y_train.shape, Y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "13428179-8dc2-4f60-9218-7f9d62ce4599",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# Initialize scaler\n",
    "scaler = StandardScaler()\n",
    "\n",
    "# Scale the training data\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d34fc848-4621-4efd-9c00-9371261ef917",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn import metrics\n",
    "\n",
    "# Initialize models\n",
    "knn = KNeighborsClassifier(n_neighbors=3)\n",
    "rfc = RandomForestClassifier(n_estimators=7, criterion='entropy', random_state=7)\n",
    "svc = SVC()\n",
    "lc = LogisticRegression(max_iter=200)  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "824765d8-82fa-4e71-90db-e4af536ca32f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score of RandomForestClassifier = 98.04469273743017\n",
      "Accuracy score of KNeighborsClassifier = 81.28491620111731\n",
      "Accuracy score of SVC = 81.00558659217877\n",
      "Accuracy score of LogisticRegression = 80.44692737430168\n"
     ]
    }
   ],
   "source": [
    "# Train models and calculate accuracy on scaled data\n",
    "for clf in (rfc, knn, svc, lc):\n",
    "    clf.fit(X_train_scaled, Y_train)\n",
    "    Y_pred = clf.predict(X_train_scaled)\n",
    "    print(f\"Accuracy score of {clf.__class__.__name__} = {100 * metrics.accuracy_score(Y_train, Y_pred)}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4ca1ffa5-eadd-49d0-8784-a6404548baa0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy score of RandomForestClassifier = 82.5\n",
      "Accuracy score of KNeighborsClassifier = 76.66666666666667\n",
      "Accuracy score of SVC = 81.25\n",
      "Accuracy score of LogisticRegression = 82.08333333333333\n"
     ]
    }
   ],
   "source": [
    "# Evaluate models on the test set\n",
    "for clf in (rfc, knn, svc, lc):\n",
    "    clf.fit(X_train_scaled, Y_train)\n",
    "    Y_pred = clf.predict(X_test_scaled)\n",
    "    print(f\"Accuracy score of {clf.__class__.__name__} = {100 * metrics.accuracy_score(Y_test, Y_pred)}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a1a9b456-b99b-48ce-9b8d-84912c942c6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model saved!\n",
      "Scaler saved!\n"
     ]
    }
   ],
   "source": [
    "import joblib\n",
    "\n",
    "# Save the trained model to a file\n",
    "joblib.dump(rfc, 'random_forest_model.pkl')\n",
    "print(\"Model saved!\")\n",
    "\n",
    "# Save the scaler (StandardScaler used for feature scaling)\n",
    "joblib.dump(scaler, 'scaler.pkl')\n",
    "print(\"Scaler saved!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ce3d653-ef5c-4853-bf78-1986485f25b6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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