{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [],
   "source": [
    "import joblib\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.linear_model import (\n",
    "    LinearRegression, Ridge, Lasso, ElasticNet, BayesianRidge, PassiveAggressiveRegressor\n",
    ")\n",
    "from sklearn.svm import SVR\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.ensemble import (\n",
    "    RandomForestRegressor, GradientBoostingRegressor, AdaBoostRegressor, ExtraTreesRegressor, \n",
    "    BaggingRegressor\n",
    ")\n",
    "import xgboost as xgb\n",
    "import lightgbm as lgb\n",
    "import catboost as cb\n",
    "from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error, mean_absolute_percentage_error,root_mean_squared_error\n",
    "\n",
    "\n",
    "#custom import\n",
    "from classification import *\n",
    "from classify_visualize import * \n",
    "from Preprocessing import *\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "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>age</th>\n",
       "      <th>time_in_hospital</th>\n",
       "      <th>n_lab_procedures</th>\n",
       "      <th>n_procedures</th>\n",
       "      <th>n_medications</th>\n",
       "      <th>n_outpatient</th>\n",
       "      <th>n_inpatient</th>\n",
       "      <th>n_emergency</th>\n",
       "      <th>medical_specialty</th>\n",
       "      <th>diag_1</th>\n",
       "      <th>diag_2</th>\n",
       "      <th>diag_3</th>\n",
       "      <th>glucose_test</th>\n",
       "      <th>A1Ctest</th>\n",
       "      <th>change</th>\n",
       "      <th>diabetes_med</th>\n",
       "      <th>readmitted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[70-80)</td>\n",
       "      <td>8</td>\n",
       "      <td>72</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Circulatory</td>\n",
       "      <td>Respiratory</td>\n",
       "      <td>Other</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[70-80)</td>\n",
       "      <td>3</td>\n",
       "      <td>34</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Other</td>\n",
       "      <td>Other</td>\n",
       "      <td>Other</td>\n",
       "      <td>Other</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[50-60)</td>\n",
       "      <td>5</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Circulatory</td>\n",
       "      <td>Circulatory</td>\n",
       "      <td>Circulatory</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[70-80)</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Missing</td>\n",
       "      <td>Circulatory</td>\n",
       "      <td>Other</td>\n",
       "      <td>Diabetes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[60-70)</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>InternalMedicine</td>\n",
       "      <td>Other</td>\n",
       "      <td>Circulatory</td>\n",
       "      <td>Respiratory</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       age  time_in_hospital  n_lab_procedures  n_procedures  n_medications  \\\n",
       "0  [70-80)                 8                72             1             18   \n",
       "1  [70-80)                 3                34             2             13   \n",
       "2  [50-60)                 5                45             0             18   \n",
       "3  [70-80)                 2                36             0             12   \n",
       "4  [60-70)                 1                42             0              7   \n",
       "\n",
       "   n_outpatient  n_inpatient  n_emergency medical_specialty       diag_1  \\\n",
       "0             2            0            0           Missing  Circulatory   \n",
       "1             0            0            0             Other        Other   \n",
       "2             0            0            0           Missing  Circulatory   \n",
       "3             1            0            0           Missing  Circulatory   \n",
       "4             0            0            0  InternalMedicine        Other   \n",
       "\n",
       "        diag_2       diag_3 glucose_test A1Ctest change diabetes_med  \\\n",
       "0  Respiratory        Other           no      no     no          yes   \n",
       "1        Other        Other           no      no     no          yes   \n",
       "2  Circulatory  Circulatory           no      no    yes          yes   \n",
       "3        Other     Diabetes           no      no    yes          yes   \n",
       "4  Circulatory  Respiratory           no      no     no          yes   \n",
       "\n",
       "  readmitted  \n",
       "0         no  \n",
       "1         no  \n",
       "2        yes  \n",
       "3        yes  \n",
       "4         no  "
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(r\"E:\\ZeroCodeML\\hospital_readmissions.csv\")\n",
    "target_column = \"readmitted\"\n",
    "model_name = \"logistic_regression\"\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['age', 'time_in_hospital', 'n_lab_procedures', 'n_procedures',\n",
       "       'n_medications', 'n_outpatient', 'n_inpatient', 'n_emergency',\n",
       "       'medical_specialty', 'diag_1', 'diag_2', 'diag_3', 'glucose_test',\n",
       "       'A1Ctest', 'change', 'diabetes_med', 'readmitted'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data['Index'] = data['Index'].map({0: 'a', 1: 'b', 2: 'c', 3: 'd', 4: 'e', 5: 'f'}) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data.to_csv(r\"E:\\ZeroCodeML\\bmi.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               Column  dtypes  Missing (%)  Uniques (%)\n",
      "0                 age  object          0.0        0.024\n",
      "1    time_in_hospital   int64          0.0        0.056\n",
      "2    n_lab_procedures   int64          0.0        0.436\n",
      "3        n_procedures   int64          0.0        0.028\n",
      "4       n_medications   int64          0.0        0.280\n",
      "5        n_outpatient   int64          0.0        0.092\n",
      "6         n_inpatient   int64          0.0        0.064\n",
      "7         n_emergency   int64          0.0        0.084\n",
      "8   medical_specialty  object          0.0        0.028\n",
      "9              diag_1  object          0.0        0.032\n",
      "10             diag_2  object          0.0        0.032\n",
      "11             diag_3  object          0.0        0.032\n",
      "12       glucose_test  object          0.0        0.012\n",
      "13            A1Ctest  object          0.0        0.012\n",
      "14             change  object          0.0        0.008\n",
      "15       diabetes_med  object          0.0        0.008\n",
      "16         readmitted  object          0.0        0.008\n"
     ]
    }
   ],
   "source": [
    "summary = df_summary(data)\n",
    "print(summary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [],
   "source": [
    "df, encoder, scaler, dropped_columns = preprocess_data(data, 40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "X_train, X_test, y_train, y_test = split_data_supervised(df, target_column, split_ratio=70)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               Column   dtypes  Missing (%)  Uniques (%)\n",
      "0                 age  float64          0.0        0.024\n",
      "1    time_in_hospital  float64          0.0        0.056\n",
      "2    n_lab_procedures  float64          0.0        0.436\n",
      "3        n_procedures  float64          0.0        0.028\n",
      "4       n_medications  float64          0.0        0.280\n",
      "5        n_outpatient  float64          0.0        0.092\n",
      "6         n_inpatient  float64          0.0        0.064\n",
      "7         n_emergency  float64          0.0        0.084\n",
      "8   medical_specialty  float64          0.0        0.028\n",
      "9              diag_1  float64          0.0        0.032\n",
      "10             diag_2  float64          0.0        0.032\n",
      "11             diag_3  float64          0.0        0.032\n",
      "12       glucose_test  float64          0.0        0.012\n",
      "13            A1Ctest  float64          0.0        0.012\n",
      "14             change  float64          0.0        0.008\n",
      "15       diabetes_med  float64          0.0        0.008\n",
      "16         readmitted  float64          0.0        0.008\n"
     ]
    }
   ],
   "source": [
    "summary = df_summary(df)\n",
    "print(summary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12486    1.0\n",
       "107      0.0\n",
       "485      1.0\n",
       "13898    1.0\n",
       "12286    0.0\n",
       "Name: readmitted, dtype: float64"
      ]
     },
     "execution_count": 234,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1., 0.])"
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "model, metrics,y_pred = train_classification_model(model_name, X_train, X_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_confusion_matrix(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [],
   "source": [
    "conm = confusion_matrix(y_test, y_pred)\n",
    "class_name = np.unique(y_test) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0, 0, 5, 0, 0, 0], [0, 0, 11, 0, 0, 0], [0, 0, 14, 2, 0, 0], [0, 0, 3, 11, 5, 0], [0, 0, 0, 0, 34, 2], [0, 0, 0, 0, 2, 61]]\n",
      "[0.0, 1.0, 2.0, 3.0, 4.0, 5.0]\n"
     ]
    }
   ],
   "source": [
    "print(cm)\n",
    "print(class_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3161 0\n"
     ]
    }
   ],
   "source": [
    "cm =[]\n",
    "\n",
    "cmHighValue = 0\n",
    "cmLowValue = 0\n",
    "for i in conm:\n",
    "    mat = []\n",
    "    for j in i:\n",
    "        if j > cmHighValue:\n",
    "            cmHighValue = j\n",
    "        if j < cmLowValue:\n",
    "            cmLowValue = j    \n",
    "        mat.append(j)\n",
    "    cm.append(mat)\n",
    "\n",
    "\n",
    "print(cmHighValue, cmLowValue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.0, 1.0]\n"
     ]
    }
   ],
   "source": [
    "class_names =[]\n",
    "for i in class_name:\n",
    "    class_names.append(i)\n",
    "\n",
    "print(class_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_roc_curve(model,X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6390459002253828\n",
      "0.6390459002253827\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "y_probs = model.predict_proba(X_test)\n",
    "n_classes = len(model.classes_)\n",
    "\"\"\"Plots Precision-Recall curve for binary and multi-class classification.\"\"\"\n",
    "plt.figure(figsize=(8, 6))\n",
    "\n",
    "# if n_classes == 2:\n",
    "#     precision, recall, _ = precision_recall_curve(y_test, y_probs[:, 1])\n",
    "#     plt.plot(recall, precision, color=\"purple\", label=\"Binary PR Curve\")\n",
    "# else:\n",
    "\n",
    "rocPlot = []\n",
    "\n",
    "for i in range(n_classes):\n",
    "    fpr, tpr, _ = roc_curve(y_test, y_probs[:, i], pos_label=i)\n",
    "    roc_auc = auc(fpr, tpr)\n",
    "    print(roc_auc)\n",
    "    rocPlot.append({\"name\": f\"Class {i} (AUC = {roc_auc:.2f})\",\"fpr\":list(fpr),\"tpr\":list(tpr)})\n",
    "    plt.plot(fpr, tpr, label=f\"Class {i} (AUC = {roc_auc:.2f})\")\n",
    "\n",
    "plt.plot([0, 1], [0, 1], \"k--\")\n",
    "plt.xlabel(\"False Positive Rate\")\n",
    "plt.ylabel(\"True Positive Rate\")\n",
    "plt.title(\"ROC Curve\")\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.show()\n",
    "\n",
    "print(rocPlot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Class 0 (AUC = 0.64)\n",
      "Class 1 (AUC = 0.64)\n"
     ]
    }
   ],
   "source": [
    "for i in rocPlot:\n",
    "    print(i['name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_precision_recall_curve(model,X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "y_probs = model.predict_proba(X_test)\n",
    "n_classes = len(model.classes_)\n",
    "\"\"\"Plots Precision-Recall curve for binary and multi-class classification.\"\"\"\n",
    "plt.figure(figsize=(8, 6))\n",
    "\n",
    "prCurve = []\n",
    "\n",
    "for i in range(n_classes):\n",
    "    precision, recall, _ = precision_recall_curve(y_test, y_probs[:, i], pos_label=i)\n",
    "    prCurve.append({\"name\": f\"Class {i}\",\"precision\":list(precision),\"recall\":list(recall)})\n",
    "    plt.plot(recall, precision, label=f\"Class {i}\")\n",
    "\n",
    "plt.xlabel(\"Recall\")\n",
    "plt.ylabel(\"Precision\")\n",
    "plt.title(\"Precision-Recall Curve\")\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "print(prCurve)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature importance not available for this model.\n"
     ]
    }
   ],
   "source": [
    "plot_feature_importance(model, X_train)"
   ]
  }
 ],
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