{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9399c285-96e0-4a2e-97ec-dc009a8f4607",
   "metadata": {},
   "source": [
    "# Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "86db5074-69b4-4293-b91d-e5602693a4c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import statsmodels.api as sm\n",
    "from sklearn.model_selection import train_test_split\n",
    "from scipy import stats"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5742ffc8-faaf-44ba-8acc-806878581a98",
   "metadata": {},
   "source": [
    "# Helpers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "77ebe02a-3391-4691-a68b-83c2a1595083",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Helper block for LR model metrics\n",
    "\n",
    "scores=pd.DataFrame(columns=['Model','MAE_Train','MSE_Train','RMSE_Train','MAPE_Train','MAE_Test','MSE_Test','RMSE_Test','MAPE_Test','R2'])\n",
    "\n",
    "def get_metrics(y_train, y_train_pred, y_test, y_test_pred, model_name, scores):\n",
    "    from sklearn import metrics\n",
    "    import numpy as np\n",
    "    \n",
    "    def mean_absolute_percentage_error(y_true, y_pred):\n",
    "        # Calculate Mean Absolute Percentage Error (MAPE)\n",
    "        return np.mean(np.abs((y_true - y_pred) / y_true)) * 100\n",
    "    \n",
    "    # Calculate metrics\n",
    "    MAE_Train = metrics.mean_absolute_error(y_train, y_train_pred)\n",
    "    MSE_Train = metrics.mean_squared_error(y_train, y_train_pred)\n",
    "    RMSE_Train = np.sqrt(MSE_Train)\n",
    "    MAPE_Train = mean_absolute_percentage_error(y_train, y_train_pred)\n",
    "    RSE_Train = np.sum((y_train - y_train_pred) ** 2) / np.sum((y_train - np.mean(y_train)) ** 2)\n",
    "    RAE_Train = np.sum(np.abs(y_train - y_train_pred)) / np.sum(np.abs(y_train - np.mean(y_train)))\n",
    "    \n",
    "        \n",
    "    MAE_Test = metrics.mean_absolute_error(y_test, y_test_pred)\n",
    "    MSE_Test = metrics.mean_squared_error(y_test, y_test_pred)\n",
    "    RMSE_Test = np.sqrt(MSE_Test)\n",
    "    MAPE_Test = mean_absolute_percentage_error(y_test, y_test_pred)\n",
    "    RSE_Test = np.sum((y_test - y_test_pred) ** 2) / np.sum((y_test - np.mean(y_test)) ** 2)\n",
    "    RAE_Test = np.sum(np.abs(y_test - y_test_pred)) / np.sum(np.abs(y_test - np.mean(y_test)))\n",
    "    R2 = metrics.r2_score(y_train, y_train_pred)\n",
    "    # R2_formatted = np.format_float_scientific(R2, precision=5)  # or use format if you want\n",
    "            \n",
    "    # Create a DataFrame with new metrics\n",
    "    new_metrics = pd.DataFrame({\n",
    "        'Model'     : [model_name],\n",
    "        'MAE_Train' : [MAE_Train],\n",
    "        'MSE_Train' : [MSE_Train],\n",
    "        'RMSE_Train': [RMSE_Train],\n",
    "        'MAPE_Train': [MAPE_Train],\n",
    "        'RAE_Train' : [RAE_Train],\n",
    "        'RSE_Train' : [RSE_Train],\n",
    "        'MAE_Test'  : [MAE_Test],\n",
    "        'MSE_Test'  : [MSE_Test],\n",
    "        'RMSE_Test' : [RMSE_Test],\n",
    "        'MAPE_Test' : [MAPE_Test],\n",
    "        'RAE_Test'  : [RAE_Test],\n",
    "        'RSE_Test'  : [RSE_Test],\n",
    "             'R2'   : [R2]\n",
    "    })\n",
    "    # Update scores DataFrame\n",
    "    # scores = new_metrics\n",
    "    # Append the new metrics to the existing scores DataFrame\n",
    "    scores = pd.concat([scores if not scores.empty else None, new_metrics], ignore_index=True)\n",
    "    return scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8d59c13d-1a6f-4058-aa6e-c61901cac6ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Helper block for residual plots\n",
    "\n",
    "# Check for Linearity, Homoscedasticity, Independence of residuals\n",
    "\n",
    "# Residuals vs Fitted plot analyis: The residuals should be randomly scattered around the centerline of 0.\n",
    "# Linearity: Residuals spread randomly across the range of fitted values without a clear pattern,\n",
    "#            indicating that the model is likely linear.\n",
    "# Homoscedasticity: Residuals have a relatively constant spread across the fitted values, with no evident \"fanning\" pattern.\n",
    "#                   This suggests that the model does not have severe issues with heteroscedasticity.\n",
    "# Independence of Errors: Residuals appear to be randomly scattered around the horizontal axis (at 0)\n",
    "#                         with no discernible pattern or systematic trend, indicating that the residuals may be independent.\n",
    "#                         No Clustering: There is no visible grouping or correlation between the residuals and fitted values.\n",
    "#                         If there were patterns like a funnel shape, waves, or clustering, it would suggest a violation of independence.\n",
    "\n",
    "\n",
    "# Q-Q plot analysis:\n",
    "# Overprediction: Points in the tails of the Q-Q plot will deviate from the reference line.\n",
    "# In the left tail, points are above the line, and in the right tail, points are below the line.\n",
    "# Underprediction: Points in the tails will also deviate from the reference line, but in the opposite manner.\n",
    "# In the left tail, points are below the line, and in the right tail, points are above the line.\n",
    "\n",
    "# Homescedasticity/Heteroscedasticity:\n",
    "# Plot shows \"U-shaped\" pattern, where residuals start higher on the left, decrease in the middle, and increase again on the right.\n",
    "# This pattern indicates HETEROSCEDASTICITY, meaning the variance of the residuals is not constant across the range of fitted values.\n",
    "# FOR HOMOSCEDASTICITY, The residuals are spread evenly across the range of fitted (predicted) values, with no clear pattern\n",
    "# (i.e., the residuals should not fan out or funnel as you move along the x-axis).\n",
    "\n",
    "# RESIDUALS VS LEVERAGE:\n",
    "# Outliers: The point with a very large studentized residual is a likely outlier.\n",
    "# Leverage: There aren’t any extreme leverage points, suggesting that most data points are not far from the mean of the independent variables.\n",
    "# Influential points: The point near the Cook’s Distance contour of 1 (possibly 499) is potentially influential\n",
    "# and may be unduly affecting the model.\n",
    "\n",
    "def residual_plots(results):\n",
    "    import matplotlib.pyplot as plt\n",
    "    import statsmodels.formula.api as smf\n",
    "    from statsmodels.nonparametric.smoothers_lowess import lowess\n",
    "    from scipy import stats\n",
    "    import statsmodels.api as sm\n",
    "\n",
    "\n",
    "    fig, ax = plt.subplots(2,2,figsize=(14,10))\n",
    "    ########## Residuals vs fitted  ##########\n",
    "    residuals = results.resid\n",
    "    fitted = results.fittedvalues\n",
    "    smoothed = lowess(residuals,fitted)\n",
    "    top3 = abs(residuals).sort_values(ascending = False)[:3]\n",
    "\n",
    "    plt.rcParams.update({'font.size': 10})\n",
    "    plt.rcParams[\"figure.figsize\"] = (8,7)\n",
    "\n",
    "    ax[0,0].scatter(fitted, residuals, edgecolors = 'k', facecolors = (0, 0, 1, 0.5))\n",
    "    ax[0,0].plot(smoothed[:,0],smoothed[:,1],color = 'r')\n",
    "    ax[0,0].set_ylabel('Residuals')\n",
    "    ax[0,0].set_xlabel('Fitted Values (Predicted Values)')\n",
    "    ax[0,0].set_title('Residuals vs. Fitted')\n",
    "    ax[0,0].plot([min(fitted),max(fitted)],[0,0],color = 'k',linestyle = ':', alpha = .3)\n",
    "\n",
    "    for i in top3.index:\n",
    "        ax[0,0].annotate(i,xy=(fitted[i],residuals[i]))\n",
    "\n",
    "    #plt.show()\n",
    "\n",
    "\n",
    "    ######### Normal qq plot ###########\n",
    "    sorted_student_residuals = pd.Series(results.get_influence().resid_studentized_internal)\n",
    "    sorted_student_residuals.index = results.resid.index\n",
    "    sorted_student_residuals = sorted_student_residuals.sort_values(ascending = True)\n",
    "    df = pd.DataFrame(sorted_student_residuals)\n",
    "    df.columns = ['sorted_student_residuals']\n",
    "    df['theoretical_quantiles'] = stats.probplot(df['sorted_student_residuals'], dist = 'norm', fit = False)[0]\n",
    "    rankings = abs(df['sorted_student_residuals']).sort_values(ascending = False)\n",
    "    top3 = rankings[:3]\n",
    "\n",
    "    #fig, ax = plt.subplots()\n",
    "    x = df['theoretical_quantiles']\n",
    "    y = df['sorted_student_residuals']\n",
    "    ax[0,1].scatter(x,y, edgecolor = 'k',facecolor = (0, 0, 1, 0.5))\n",
    "    ax[0,1].set_title('Normal Q-Q')\n",
    "    ax[0,1].set_ylabel('Standardized Residuals')\n",
    "    ax[0,1].set_xlabel('Theoretical Quantiles')\n",
    "    ax[0,1].plot([np.min([x,y]),np.max([x,y])],[np.min([x,y]),np.max([x,y])], color = 'r', ls = '--')\n",
    "    for val in top3.index:\n",
    "        ax[0,1].annotate(val,xy=(df['theoretical_quantiles'].loc[val],df['sorted_student_residuals'].loc[val]))\n",
    "    #plt.show()\n",
    "\n",
    "\n",
    "    ######### Homoscedasticity ############\n",
    "    student_residuals = results.get_influence().resid_studentized_internal\n",
    "    sqrt_student_residuals = pd.Series(np.sqrt(np.abs(student_residuals)))\n",
    "    sqrt_student_residuals.index = results.resid.index\n",
    "    smoothed = lowess(sqrt_student_residuals,fitted)\n",
    "    top3 = abs(sqrt_student_residuals).sort_values(ascending = False)[:3]\n",
    "\n",
    "    #fig, ax = plt.subplots()\n",
    "    ax[1,0].scatter(fitted, sqrt_student_residuals, edgecolors = 'k', facecolors = (0, 0, 1, 0.5))\n",
    "    ax[1,0].plot(smoothed[:,0],smoothed[:,1],color = 'r', label='LOESS Smoothing Line (Trend Line)')\n",
    "    ax[1,0].set_ylabel('$sqrt{|Studentized Residuals|}$')\n",
    "    ax[1,0].set_xlabel('Fitted Values (Predicted Values)')\n",
    "    ax[1,0].set_title('Scale-Location/Spread-Location (Constant Variance of Residuals)')\n",
    "    ax[1,0].set_ylim(0,max(sqrt_student_residuals)+0.1)\n",
    "    for i in top3.index:\n",
    "        ax[1,0].annotate(i,xy=(fitted[i],sqrt_student_residuals[i]))\n",
    "    #plt.show()\n",
    "\n",
    "\n",
    "    ######### Cooks distance  ###########\n",
    "    student_residuals = pd.Series(results.get_influence().resid_studentized_internal)\n",
    "    student_residuals.index = results.resid.index\n",
    "    df = pd.DataFrame(student_residuals)\n",
    "    df.columns = ['student_residuals']\n",
    "    df['leverage'] = results.get_influence().hat_matrix_diag\n",
    "    smoothed = lowess(df['student_residuals'],df['leverage'])\n",
    "    sorted_student_residuals = abs(df['student_residuals']).sort_values(ascending = False)\n",
    "    top3 = sorted_student_residuals[:3]\n",
    "\n",
    "    #fig, ax = plt.subplots()\n",
    "    x = df['leverage']\n",
    "    y = df['student_residuals']\n",
    "    xpos = max(x)+max(x)*0.01\n",
    "    ax[1,1].scatter(x, y, edgecolors = 'k', facecolors = (0, 0, 1, 0.5))\n",
    "    ax[1,1].plot(smoothed[:,0],smoothed[:,1],color = 'b')\n",
    "    ax[1,1].set_ylabel('Studentized Residuals')\n",
    "    ax[1,1].set_xlabel('Leverage')\n",
    "    ax[1,1].set_title('Residuals vs. Leverage')\n",
    "    ax[1,1].set_ylim(min(y)-min(y)*0.15,max(y)+max(y)*0.15)\n",
    "    ax[1,1].set_xlim(-0.01,max(x)+max(x)*0.05)\n",
    "    plt.tight_layout()\n",
    "    for val in top3.index:\n",
    "        ax[1,1].annotate(val,xy=(x.loc[val],y.loc[val]))\n",
    "\n",
    "    cooksx = np.linspace(min(x), xpos, 50)\n",
    "    p = len(results.params)\n",
    "    poscooks1y = np.sqrt((p*(1-cooksx))/cooksx)\n",
    "    poscooks05y = np.sqrt(0.5*(p*(1-cooksx))/cooksx)\n",
    "    negcooks1y = -np.sqrt((p*(1-cooksx))/cooksx)\n",
    "    negcooks05y = -np.sqrt(0.5*(p*(1-cooksx))/cooksx)\n",
    "\n",
    "    ax[1,1].plot(cooksx,poscooks1y,label = \"Cook's Distance\", ls = ':', color = 'r')\n",
    "    ax[1,1].plot(cooksx,poscooks05y, ls = ':', color = 'r')\n",
    "    ax[1,1].plot(cooksx,negcooks1y, ls = ':', color = 'r')\n",
    "    ax[1,1].plot(cooksx,negcooks05y, ls = ':', color = 'r')\n",
    "    ax[1,1].plot([0,0],ax[1,1].get_ylim(), ls=\":\", alpha = .3, color = 'k')\n",
    "    ax[1,1].plot(ax[1,1].get_xlim(), [0,0], ls=\":\", alpha = .3, color = 'k')\n",
    "    ax[1,1].annotate('1.0', xy = (xpos, poscooks1y[-1]), color = 'r')\n",
    "    ax[1,1].annotate('0.5', xy = (xpos, poscooks05y[-1]), color = 'r')\n",
    "    ax[1,1].annotate('1.0', xy = (xpos, negcooks1y[-1]), color = 'r')\n",
    "    ax[1,1].annotate('0.5', xy = (xpos, negcooks05y[-1]), color = 'r')\n",
    "    ax[1,1].legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e2e2cac-50ff-4286-9651-df69643e7211",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "# Read and examine data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7df6489a-450c-4733-90b4-914cd9417776",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        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>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>b</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1</td>\n",
       "      <td>296</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      crim    zn  indus  chas    nox     rm   age     dis  rad  tax  ptratio  \\\n",
       "0  0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900    1  296     15.3   \n",
       "1  0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671    2  242     17.8   \n",
       "2  0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671    2  242     17.8   \n",
       "3  0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622    3  222     18.7   \n",
       "\n",
       "        b  lstat  medv  \n",
       "0  396.90   4.98  24.0  \n",
       "1  396.90   9.14  21.6  \n",
       "2  392.83   4.03  34.7  \n",
       "3  394.63   2.94  33.4  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read the dataset\n",
    "housing = pd.read_csv(\"BostonHousing.csv\")\n",
    "housing.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f67edb0e-49b1-44ef-936a-603f5a4a000b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 506 entries, 0 to 505\n",
      "Data columns (total 14 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   crim     506 non-null    float64\n",
      " 1   zn       506 non-null    float64\n",
      " 2   indus    506 non-null    float64\n",
      " 3   chas     506 non-null    int64  \n",
      " 4   nox      506 non-null    float64\n",
      " 5   rm       506 non-null    float64\n",
      " 6   age      506 non-null    float64\n",
      " 7   dis      506 non-null    float64\n",
      " 8   rad      506 non-null    int64  \n",
      " 9   tax      506 non-null    int64  \n",
      " 10  ptratio  506 non-null    float64\n",
      " 11  b        506 non-null    float64\n",
      " 12  lstat    506 non-null    float64\n",
      " 13  medv     506 non-null    float64\n",
      "dtypes: float64(11), int64(3)\n",
      "memory usage: 55.5 KB\n"
     ]
    }
   ],
   "source": [
    "housing.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c64a9ad0-186b-4a17-9f40-adcafbccd4fb",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>b</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.613524</td>\n",
       "      <td>11.363636</td>\n",
       "      <td>11.136779</td>\n",
       "      <td>0.069170</td>\n",
       "      <td>0.554695</td>\n",
       "      <td>6.284634</td>\n",
       "      <td>68.574901</td>\n",
       "      <td>3.795043</td>\n",
       "      <td>9.549407</td>\n",
       "      <td>408.237154</td>\n",
       "      <td>18.455534</td>\n",
       "      <td>356.674032</td>\n",
       "      <td>12.653063</td>\n",
       "      <td>22.532806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.601545</td>\n",
       "      <td>23.322453</td>\n",
       "      <td>6.860353</td>\n",
       "      <td>0.253994</td>\n",
       "      <td>0.115878</td>\n",
       "      <td>0.702617</td>\n",
       "      <td>28.148861</td>\n",
       "      <td>2.105710</td>\n",
       "      <td>8.707259</td>\n",
       "      <td>168.537116</td>\n",
       "      <td>2.164946</td>\n",
       "      <td>91.294864</td>\n",
       "      <td>7.141062</td>\n",
       "      <td>9.197104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.460000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.082045</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.449000</td>\n",
       "      <td>5.885500</td>\n",
       "      <td>45.025000</td>\n",
       "      <td>2.100175</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>279.000000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>375.377500</td>\n",
       "      <td>6.950000</td>\n",
       "      <td>17.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.256510</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.690000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.208500</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>3.207450</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>19.050000</td>\n",
       "      <td>391.440000</td>\n",
       "      <td>11.360000</td>\n",
       "      <td>21.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.677083</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.624000</td>\n",
       "      <td>6.623500</td>\n",
       "      <td>94.075000</td>\n",
       "      <td>5.188425</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>396.225000</td>\n",
       "      <td>16.955000</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>88.976200</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             crim          zn       indus        chas         nox          rm  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean     3.613524   11.363636   11.136779    0.069170    0.554695    6.284634   \n",
       "std      8.601545   23.322453    6.860353    0.253994    0.115878    0.702617   \n",
       "min      0.006320    0.000000    0.460000    0.000000    0.385000    3.561000   \n",
       "25%      0.082045    0.000000    5.190000    0.000000    0.449000    5.885500   \n",
       "50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208500   \n",
       "75%      3.677083   12.500000   18.100000    0.000000    0.624000    6.623500   \n",
       "max     88.976200  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
       "\n",
       "              age         dis         rad         tax     ptratio           b  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean    68.574901    3.795043    9.549407  408.237154   18.455534  356.674032   \n",
       "std     28.148861    2.105710    8.707259  168.537116    2.164946   91.294864   \n",
       "min      2.900000    1.129600    1.000000  187.000000   12.600000    0.320000   \n",
       "25%     45.025000    2.100175    4.000000  279.000000   17.400000  375.377500   \n",
       "50%     77.500000    3.207450    5.000000  330.000000   19.050000  391.440000   \n",
       "75%     94.075000    5.188425   24.000000  666.000000   20.200000  396.225000   \n",
       "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
       "\n",
       "            lstat        medv  \n",
       "count  506.000000  506.000000  \n",
       "mean    12.653063   22.532806  \n",
       "std      7.141062    9.197104  \n",
       "min      1.730000    5.000000  \n",
       "25%      6.950000   17.025000  \n",
       "50%     11.360000   21.200000  \n",
       "75%     16.955000   25.000000  \n",
       "max     37.970000   50.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48dbf0ed-b741-44fa-bd6c-f7c3c5db1f71",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "# Data cleanup and transformation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7874f7c4-8e9d-4639-b388-07ce39d0ea02",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dummify (One-Hot Encode)\n",
    "\n",
    "# RAD: index of accessibility to radial highways (categorical)\n",
    "housing['rad'] = housing['rad'].astype(int)  # Ensure it's treated as an integer categorical column\n",
    "housing_tf = pd.get_dummies(housing, columns=['rad'], drop_first=True)  # Drop first to avoid multicollinearity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "155aee64-6347-4728-bba4-dbf367f1a6be",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Check for non-numeric columns\n",
    "non_numeric_cols = housing_tf.select_dtypes(exclude=np.number).columns\n",
    "for col in non_numeric_cols:\n",
    "  housing_tf[col] = housing_tf[col].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7c35bccd-9d8a-4f76-abe9-9f485545dce1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>...</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "      <th>rad_2</th>\n",
       "      <th>rad_3</th>\n",
       "      <th>rad_4</th>\n",
       "      <th>rad_5</th>\n",
       "      <th>rad_6</th>\n",
       "      <th>rad_7</th>\n",
       "      <th>rad_8</th>\n",
       "      <th>rad_24</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>296</td>\n",
       "      <td>15.3</td>\n",
       "      <td>...</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>...</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>...</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>...</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      crim    zn  indus  chas    nox     rm   age     dis  tax  ptratio  ...  \\\n",
       "0  0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900  296     15.3  ...   \n",
       "1  0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671  242     17.8  ...   \n",
       "2  0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671  242     17.8  ...   \n",
       "3  0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622  222     18.7  ...   \n",
       "\n",
       "   lstat  medv  rad_2  rad_3  rad_4  rad_5  rad_6  rad_7  rad_8  rad_24  \n",
       "0   4.98  24.0      0      0      0      0      0      0      0       0  \n",
       "1   9.14  21.6      1      0      0      0      0      0      0       0  \n",
       "2   4.03  34.7      1      0      0      0      0      0      0       0  \n",
       "3   2.94  33.4      0      1      0      0      0      0      0       0  \n",
       "\n",
       "[4 rows x 21 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_tf.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "23428b71-0736-4ea7-8e91-6279081effe3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 506 entries, 0 to 505\n",
      "Data columns (total 21 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   crim     506 non-null    float64\n",
      " 1   zn       506 non-null    float64\n",
      " 2   indus    506 non-null    float64\n",
      " 3   chas     506 non-null    int64  \n",
      " 4   nox      506 non-null    float64\n",
      " 5   rm       506 non-null    float64\n",
      " 6   age      506 non-null    float64\n",
      " 7   dis      506 non-null    float64\n",
      " 8   tax      506 non-null    int64  \n",
      " 9   ptratio  506 non-null    float64\n",
      " 10  b        506 non-null    float64\n",
      " 11  lstat    506 non-null    float64\n",
      " 12  medv     506 non-null    float64\n",
      " 13  rad_2    506 non-null    int64  \n",
      " 14  rad_3    506 non-null    int64  \n",
      " 15  rad_4    506 non-null    int64  \n",
      " 16  rad_5    506 non-null    int64  \n",
      " 17  rad_6    506 non-null    int64  \n",
      " 18  rad_7    506 non-null    int64  \n",
      " 19  rad_8    506 non-null    int64  \n",
      " 20  rad_24   506 non-null    int64  \n",
      "dtypes: float64(11), int64(10)\n",
      "memory usage: 83.1 KB\n"
     ]
    }
   ],
   "source": [
    "housing_tf.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bc9ef87-68d7-4caf-b658-5c2bf0d256a2",
   "metadata": {},
   "source": [
    "# Full Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c5e600b6-caed-488c-87b8-100a0978640f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# set the dependent variable and features\n",
    "X = housing_tf.drop(['medv'], axis=1)\n",
    "y = pd.Series(housing_tf.medv, name='PRICE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "92999cfc-dd5c-4f5a-9850-b6e6196ca5d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 506 entries, 0 to 505\n",
      "Data columns (total 20 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   crim     506 non-null    float64\n",
      " 1   zn       506 non-null    float64\n",
      " 2   indus    506 non-null    float64\n",
      " 3   chas     506 non-null    int64  \n",
      " 4   nox      506 non-null    float64\n",
      " 5   rm       506 non-null    float64\n",
      " 6   age      506 non-null    float64\n",
      " 7   dis      506 non-null    float64\n",
      " 8   tax      506 non-null    int64  \n",
      " 9   ptratio  506 non-null    float64\n",
      " 10  b        506 non-null    float64\n",
      " 11  lstat    506 non-null    float64\n",
      " 12  rad_2    506 non-null    int64  \n",
      " 13  rad_3    506 non-null    int64  \n",
      " 14  rad_4    506 non-null    int64  \n",
      " 15  rad_5    506 non-null    int64  \n",
      " 16  rad_6    506 non-null    int64  \n",
      " 17  rad_7    506 non-null    int64  \n",
      " 18  rad_8    506 non-null    int64  \n",
      " 19  rad_24   506 non-null    int64  \n",
      "dtypes: float64(10), int64(10)\n",
      "memory usage: 79.2 KB\n"
     ]
    }
   ],
   "source": [
    "X.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "02890fe7-6663-4c16-972e-09bdd90d5f8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>b</th>\n",
       "      <th>lstat</th>\n",
       "      <th>rad_2</th>\n",
       "      <th>rad_3</th>\n",
       "      <th>rad_4</th>\n",
       "      <th>rad_5</th>\n",
       "      <th>rad_6</th>\n",
       "      <th>rad_7</th>\n",
       "      <th>rad_8</th>\n",
       "      <th>rad_24</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.613524</td>\n",
       "      <td>11.363636</td>\n",
       "      <td>11.136779</td>\n",
       "      <td>0.069170</td>\n",
       "      <td>0.554695</td>\n",
       "      <td>6.284634</td>\n",
       "      <td>68.574901</td>\n",
       "      <td>3.795043</td>\n",
       "      <td>408.237154</td>\n",
       "      <td>18.455534</td>\n",
       "      <td>356.674032</td>\n",
       "      <td>12.653063</td>\n",
       "      <td>0.047431</td>\n",
       "      <td>0.075099</td>\n",
       "      <td>0.217391</td>\n",
       "      <td>0.227273</td>\n",
       "      <td>0.051383</td>\n",
       "      <td>0.033597</td>\n",
       "      <td>0.047431</td>\n",
       "      <td>0.260870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.601545</td>\n",
       "      <td>23.322453</td>\n",
       "      <td>6.860353</td>\n",
       "      <td>0.253994</td>\n",
       "      <td>0.115878</td>\n",
       "      <td>0.702617</td>\n",
       "      <td>28.148861</td>\n",
       "      <td>2.105710</td>\n",
       "      <td>168.537116</td>\n",
       "      <td>2.164946</td>\n",
       "      <td>91.294864</td>\n",
       "      <td>7.141062</td>\n",
       "      <td>0.212769</td>\n",
       "      <td>0.263812</td>\n",
       "      <td>0.412879</td>\n",
       "      <td>0.419485</td>\n",
       "      <td>0.220997</td>\n",
       "      <td>0.180367</td>\n",
       "      <td>0.212769</td>\n",
       "      <td>0.439543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.460000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.082045</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.449000</td>\n",
       "      <td>5.885500</td>\n",
       "      <td>45.025000</td>\n",
       "      <td>2.100175</td>\n",
       "      <td>279.000000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>375.377500</td>\n",
       "      <td>6.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.256510</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.690000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.208500</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>3.207450</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>19.050000</td>\n",
       "      <td>391.440000</td>\n",
       "      <td>11.360000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.677083</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.624000</td>\n",
       "      <td>6.623500</td>\n",
       "      <td>94.075000</td>\n",
       "      <td>5.188425</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>396.225000</td>\n",
       "      <td>16.955000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>88.976200</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             crim          zn       indus        chas         nox          rm  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean     3.613524   11.363636   11.136779    0.069170    0.554695    6.284634   \n",
       "std      8.601545   23.322453    6.860353    0.253994    0.115878    0.702617   \n",
       "min      0.006320    0.000000    0.460000    0.000000    0.385000    3.561000   \n",
       "25%      0.082045    0.000000    5.190000    0.000000    0.449000    5.885500   \n",
       "50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208500   \n",
       "75%      3.677083   12.500000   18.100000    0.000000    0.624000    6.623500   \n",
       "max     88.976200  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
       "\n",
       "              age         dis         tax     ptratio           b       lstat  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean    68.574901    3.795043  408.237154   18.455534  356.674032   12.653063   \n",
       "std     28.148861    2.105710  168.537116    2.164946   91.294864    7.141062   \n",
       "min      2.900000    1.129600  187.000000   12.600000    0.320000    1.730000   \n",
       "25%     45.025000    2.100175  279.000000   17.400000  375.377500    6.950000   \n",
       "50%     77.500000    3.207450  330.000000   19.050000  391.440000   11.360000   \n",
       "75%     94.075000    5.188425  666.000000   20.200000  396.225000   16.955000   \n",
       "max    100.000000   12.126500  711.000000   22.000000  396.900000   37.970000   \n",
       "\n",
       "            rad_2       rad_3       rad_4       rad_5       rad_6       rad_7  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean     0.047431    0.075099    0.217391    0.227273    0.051383    0.033597   \n",
       "std      0.212769    0.263812    0.412879    0.419485    0.220997    0.180367   \n",
       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "50%      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "75%      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "max      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
       "\n",
       "            rad_8      rad_24  \n",
       "count  506.000000  506.000000  \n",
       "mean     0.047431    0.260870  \n",
       "std      0.212769    0.439543  \n",
       "min      0.000000    0.000000  \n",
       "25%      0.000000    0.000000  \n",
       "50%      0.000000    0.000000  \n",
       "75%      0.000000    1.000000  \n",
       "max      1.000000    1.000000  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "77ef5be5-9318-47ef-b5d7-f9621683efd0",
   "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>const</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>tax</th>\n",
       "      <th>...</th>\n",
       "      <th>b</th>\n",
       "      <th>lstat</th>\n",
       "      <th>rad_2</th>\n",
       "      <th>rad_3</th>\n",
       "      <th>rad_4</th>\n",
       "      <th>rad_5</th>\n",
       "      <th>rad_6</th>\n",
       "      <th>rad_7</th>\n",
       "      <th>rad_8</th>\n",
       "      <th>rad_24</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>296</td>\n",
       "      <td>...</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>242</td>\n",
       "      <td>...</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>242</td>\n",
       "      <td>...</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>222</td>\n",
       "      <td>...</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>222</td>\n",
       "      <td>...</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   const     crim    zn  indus  chas    nox     rm   age     dis  tax  ...  \\\n",
       "0    1.0  0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900  296  ...   \n",
       "1    1.0  0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671  242  ...   \n",
       "2    1.0  0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671  242  ...   \n",
       "3    1.0  0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622  222  ...   \n",
       "4    1.0  0.06905   0.0   2.18     0  0.458  7.147  54.2  6.0622  222  ...   \n",
       "\n",
       "        b  lstat  rad_2  rad_3  rad_4  rad_5  rad_6  rad_7  rad_8  rad_24  \n",
       "0  396.90   4.98      0      0      0      0      0      0      0       0  \n",
       "1  396.90   9.14      1      0      0      0      0      0      0       0  \n",
       "2  392.83   4.03      1      0      0      0      0      0      0       0  \n",
       "3  394.63   2.94      0      1      0      0      0      0      0       0  \n",
       "4  396.90   5.33      0      1      0      0      0      0      0       0  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add constant to the model\n",
    "X_const = sm.add_constant(X)\n",
    "X_const.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "70d1e529-9fb0-448b-b0da-f7079a7b0f3d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 404 entries, 477 to 102\n",
      "Data columns (total 21 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   const    404 non-null    float64\n",
      " 1   crim     404 non-null    float64\n",
      " 2   zn       404 non-null    float64\n",
      " 3   indus    404 non-null    float64\n",
      " 4   chas     404 non-null    int64  \n",
      " 5   nox      404 non-null    float64\n",
      " 6   rm       404 non-null    float64\n",
      " 7   age      404 non-null    float64\n",
      " 8   dis      404 non-null    float64\n",
      " 9   tax      404 non-null    int64  \n",
      " 10  ptratio  404 non-null    float64\n",
      " 11  b        404 non-null    float64\n",
      " 12  lstat    404 non-null    float64\n",
      " 13  rad_2    404 non-null    int64  \n",
      " 14  rad_3    404 non-null    int64  \n",
      " 15  rad_4    404 non-null    int64  \n",
      " 16  rad_5    404 non-null    int64  \n",
      " 17  rad_6    404 non-null    int64  \n",
      " 18  rad_7    404 non-null    int64  \n",
      " 19  rad_8    404 non-null    int64  \n",
      " 20  rad_24   404 non-null    int64  \n",
      "dtypes: float64(11), int64(10)\n",
      "memory usage: 69.4 KB\n",
      "\n",
      "\n",
      "<class 'pandas.core.series.Series'>\n",
      "Index: 404 entries, 477 to 102\n",
      "Series name: PRICE\n",
      "Non-Null Count  Dtype  \n",
      "--------------  -----  \n",
      "404 non-null    float64\n",
      "dtypes: float64(1)\n",
      "memory usage: 6.3 KB\n"
     ]
    }
   ],
   "source": [
    "# split the data into train and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X_const, y, test_size=0.2, random_state=42)\n",
    "\n",
    "X_train.info()\n",
    "print(\"\\n\")\n",
    "y_train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a22a412d-0d2e-408f-abdf-7d87c23cfc8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model Full:\n",
      "\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                  PRICE   R-squared:                       0.763\n",
      "Model:                            OLS   Adj. R-squared:                  0.750\n",
      "Method:                 Least Squares   F-statistic:                     61.59\n",
      "Date:                Sun, 22 Sep 2024   Prob (F-statistic):          2.26e-106\n",
      "Time:                        14:30:16   Log-Likelihood:                -1184.4\n",
      "No. Observations:                 404   AIC:                             2411.\n",
      "Df Residuals:                     383   BIC:                             2495.\n",
      "Df Model:                          20                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const         28.9224      6.044      4.785      0.000      17.039      40.806\n",
      "crim          -0.1151      0.034     -3.342      0.001      -0.183      -0.047\n",
      "zn             0.0391      0.016      2.395      0.017       0.007       0.071\n",
      "indus          0.0576      0.069      0.832      0.406      -0.079       0.194\n",
      "chas           2.5867      0.951      2.721      0.007       0.718       4.456\n",
      "nox          -17.9762      4.368     -4.115      0.000     -26.565      -9.388\n",
      "rm             4.2873      0.467      9.176      0.000       3.369       5.206\n",
      "age           -0.0076      0.015     -0.523      0.602      -0.036       0.021\n",
      "dis           -1.5336      0.228     -6.721      0.000      -1.982      -1.085\n",
      "tax           -0.0063      0.004     -1.437      0.151      -0.015       0.002\n",
      "ptratio       -0.9041      0.158     -5.709      0.000      -1.215      -0.593\n",
      "b              0.0125      0.003      4.289      0.000       0.007       0.018\n",
      "lstat         -0.5086      0.055     -9.183      0.000      -0.617      -0.400\n",
      "rad_2          1.0733      1.580      0.679      0.497      -2.033       4.179\n",
      "rad_3          4.7214      1.446      3.265      0.001       1.879       7.564\n",
      "rad_4          1.8003      1.307      1.377      0.169      -0.770       4.370\n",
      "rad_5          2.6805      1.326      2.022      0.044       0.074       5.287\n",
      "rad_6          0.3873      1.573      0.246      0.806      -2.706       3.481\n",
      "rad_7          4.3494      1.686      2.580      0.010       1.035       7.664\n",
      "rad_8          4.1388      1.609      2.572      0.010       0.975       7.302\n",
      "rad_24         5.8763      2.017      2.913      0.004       1.910       9.843\n",
      "==============================================================================\n",
      "Omnibus:                      139.190   Durbin-Watson:                   2.157\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              664.889\n",
      "Skew:                           1.416   Prob(JB):                    4.18e-145\n",
      "Kurtosis:                       8.611   Cond. No.                     1.58e+04\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 1.58e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "# build the multiple linear regression full model\n",
    "model_full = sm.OLS(y_train, X_train).fit()\n",
    "print(\"Model Full:\\n\")\n",
    "print(model_full.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b421f955-7e7e-401c-8cad-6f8473efe153",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "residual_plots(model_full)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c4cef665-0668-4216-a1b6-3c71ee9ef505",
   "metadata": {},
   "outputs": [],
   "source": [
    "scores = get_metrics(y_train, model_full.predict(X_train), y_test, model_full.predict(X_test), \"Full Model\", scores)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05cf0718-0947-41ab-a5a5-d100b9b032fa",
   "metadata": {},
   "source": [
    "# Model without influental datapoints"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fc699a7-6ffc-41e3-8d8e-73db56d3e7f7",
   "metadata": {},
   "source": [
    "There were no influental datapoints with Cook distance > 1 (Check residual vs leverage plot)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1beb3764-96bc-432d-a565-2c8cd17b6cdd",
   "metadata": {},
   "source": [
    "# Data Transformation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56d165d9-e4e0-4474-9985-aa74c3acb96b",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "#### Box-Cox on X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "557dd854-572c-4b30-92b6-680d1c5fbea8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 404 entries, 477 to 102\n",
      "Data columns (total 21 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   const    404 non-null    float64\n",
      " 1   crim     404 non-null    float64\n",
      " 2   zn       404 non-null    float64\n",
      " 3   indus    404 non-null    float64\n",
      " 4   chas     404 non-null    int64  \n",
      " 5   nox      404 non-null    float64\n",
      " 6   rm       404 non-null    float64\n",
      " 7   age      404 non-null    float64\n",
      " 8   dis      404 non-null    float64\n",
      " 9   tax      404 non-null    int64  \n",
      " 10  ptratio  404 non-null    float64\n",
      " 11  b        404 non-null    float64\n",
      " 12  lstat    404 non-null    float64\n",
      " 13  rad_2    404 non-null    int64  \n",
      " 14  rad_3    404 non-null    int64  \n",
      " 15  rad_4    404 non-null    int64  \n",
      " 16  rad_5    404 non-null    int64  \n",
      " 17  rad_6    404 non-null    int64  \n",
      " 18  rad_7    404 non-null    int64  \n",
      " 19  rad_8    404 non-null    int64  \n",
      " 20  rad_24   404 non-null    int64  \n",
      "dtypes: float64(11), int64(10)\n",
      "memory usage: 69.4 KB\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "477    1.0\n",
       "15     1.0\n",
       "332    1.0\n",
       "423    1.0\n",
       "19     1.0\n",
       "Name: const, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Data input to box-cox must be +ve\n",
    "#X_train_box_cox, lambda_bc = stats.boxcox(X_train.iloc[:,4])\n",
    "#X_test_box_cox, lambda_bc = stats.boxcox(X_test.iloc[:,4])\n",
    "X_train.info()\n",
    "print(\"\\n\")\n",
    "X_train.iloc[:,0].head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e894ddfe-227c-4826-becf-ef490e8fccff",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "#### Yeo-Johnson with PowerTransformer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e0eecb3-826b-4999-9bc0-320173c36e60",
   "metadata": {},
   "source": [
    "It allows transformaing multiple variables at once."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1dbee75c-d7f3-4346-912e-4eacbb544734",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 506 entries, 0 to 505\n",
      "Data columns (total 12 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   crim     506 non-null    float64\n",
      " 1   zn       506 non-null    float64\n",
      " 2   indus    506 non-null    float64\n",
      " 3   chas     506 non-null    int64  \n",
      " 4   nox      506 non-null    float64\n",
      " 5   rm       506 non-null    float64\n",
      " 6   age      506 non-null    float64\n",
      " 7   dis      506 non-null    float64\n",
      " 8   tax      506 non-null    int64  \n",
      " 9   ptratio  506 non-null    float64\n",
      " 10  b        506 non-null    float64\n",
      " 11  lstat    506 non-null    float64\n",
      "dtypes: float64(10), int64(2)\n",
      "memory usage: 47.6 KB\n"
     ]
    }
   ],
   "source": [
    "cat_columns = [c for c in X.columns.values if c.startswith(\"rad\")]\n",
    "X_no_cat = X.drop(columns=cat_columns)\n",
    "X_no_cat.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0e6de2c9-9d92-46e2-ba40-d62f7e50f388",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lambda values for each variable (Yeo-Johnson): [ -0.95389724  -0.90529801   0.37915192 -20.85708924  -3.97371104\n",
      "   0.33298651   1.36614005  -0.44887192  -0.52917651   4.55770392\n",
      "   3.77813398   0.15370552]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import PowerTransformer\n",
    "\n",
    "pt_yeojohnson = PowerTransformer(method='yeo-johnson')\n",
    "X_transformed_no_cat = pt_yeojohnson.fit_transform(X_no_cat)\n",
    "\n",
    "print(\"Lambda values for each variable (Yeo-Johnson):\", pt_yeojohnson.lambdas_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "efa56cb1-2ce6-4d4d-ae6f-56d7d6ddc49f",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>b</th>\n",
       "      <th>lstat</th>\n",
       "      <th>rad_2</th>\n",
       "      <th>rad_3</th>\n",
       "      <th>rad_4</th>\n",
       "      <th>rad_5</th>\n",
       "      <th>rad_6</th>\n",
       "      <th>rad_7</th>\n",
       "      <th>rad_8</th>\n",
       "      <th>rad_24</th>\n",
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       "  <tbody>\n",
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       "      <td>0.225621</td>\n",
       "      <td>0.314385</td>\n",
       "      <td>0.796950</td>\n",
       "      <td>-1.175887</td>\n",
       "      <td>-0.518692</td>\n",
       "      <td>0.632757</td>\n",
       "      <td>-0.334422</td>\n",
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       "      <th>2</th>\n",
       "      <td>-0.999953</td>\n",
       "      <td>-0.599954</td>\n",
       "      <td>-0.443938</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>-0.716093</td>\n",
       "      <td>1.268348</td>\n",
       "      <td>-0.363383</td>\n",
       "      <td>0.796950</td>\n",
       "      <td>-1.175887</td>\n",
       "      <td>-0.518692</td>\n",
       "      <td>0.502065</td>\n",
       "      <td>-1.543453</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.986675</td>\n",
       "      <td>-0.599954</td>\n",
       "      <td>-1.564275</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>-0.851247</td>\n",
       "      <td>1.019336</td>\n",
       "      <td>-0.891929</td>\n",
       "      <td>1.144611</td>\n",
       "      <td>-1.461842</td>\n",
       "      <td>-0.076443</td>\n",
       "      <td>0.559404</td>\n",
       "      <td>-1.934975</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "       crim        zn     indus      chas       nox        rm       age  \\\n",
       "0 -1.056151  1.605270 -1.523776 -0.272599  0.027165  0.441377 -0.212875   \n",
       "1 -0.999901 -0.599954 -0.443938 -0.272599 -0.716093  0.225621  0.314385   \n",
       "2 -0.999953 -0.599954 -0.443938 -0.272599 -0.716093  1.268348 -0.363383   \n",
       "3 -0.986675 -0.599954 -1.564275 -0.272599 -0.851247  1.019336 -0.891929   \n",
       "\n",
       "        dis       tax   ptratio         b     lstat  rad_2  rad_3  rad_4  \\\n",
       "0  0.443907 -0.556334 -1.408874  0.632757 -1.257099      0      0      0   \n",
       "1  0.796950 -1.175887 -0.518692  0.632757 -0.334422      1      0      0   \n",
       "2  0.796950 -1.175887 -0.518692  0.502065 -1.543453      1      0      0   \n",
       "3  1.144611 -1.461842 -0.076443  0.559404 -1.934975      0      1      0   \n",
       "\n",
       "   rad_5  rad_6  rad_7  rad_8  rad_24  \n",
       "0      0      0      0      0       0  \n",
       "1      0      0      0      0       0  \n",
       "2      0      0      0      0       0  \n",
       "3      0      0      0      0       0  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_cat_columns = [c for c in X.columns.values if not c.startswith(\"rad\")]\n",
    "X_transformed = pd.DataFrame(X_transformed_no_cat, columns=no_cat_columns)\n",
    "X_transformed = pd.concat([X_transformed, X.drop(columns=no_cat_columns)], axis=1)\n",
    "X_transformed.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f1c488b1-9753-48fa-baf5-5cbd5fb38f0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>const</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>tax</th>\n",
       "      <th>...</th>\n",
       "      <th>b</th>\n",
       "      <th>lstat</th>\n",
       "      <th>rad_2</th>\n",
       "      <th>rad_3</th>\n",
       "      <th>rad_4</th>\n",
       "      <th>rad_5</th>\n",
       "      <th>rad_6</th>\n",
       "      <th>rad_7</th>\n",
       "      <th>rad_8</th>\n",
       "      <th>rad_24</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
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       "      <td>-0.599954</td>\n",
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       "      <td>0.314385</td>\n",
       "      <td>0.796950</td>\n",
       "      <td>-1.175887</td>\n",
       "      <td>...</td>\n",
       "      <td>0.632757</td>\n",
       "      <td>-0.334422</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.999953</td>\n",
       "      <td>-0.599954</td>\n",
       "      <td>-0.443938</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>-0.716093</td>\n",
       "      <td>1.268348</td>\n",
       "      <td>-0.363383</td>\n",
       "      <td>0.796950</td>\n",
       "      <td>-1.175887</td>\n",
       "      <td>...</td>\n",
       "      <td>0.502065</td>\n",
       "      <td>-1.543453</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.986675</td>\n",
       "      <td>-0.599954</td>\n",
       "      <td>-1.564275</td>\n",
       "      <td>-0.272599</td>\n",
       "      <td>-0.851247</td>\n",
       "      <td>1.019336</td>\n",
       "      <td>-0.891929</td>\n",
       "      <td>1.144611</td>\n",
       "      <td>-1.461842</td>\n",
       "      <td>...</td>\n",
       "      <td>0.559404</td>\n",
       "      <td>-1.934975</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   const      crim        zn     indus      chas       nox        rm  \\\n",
       "0    1.0 -1.056151  1.605270 -1.523776 -0.272599  0.027165  0.441377   \n",
       "1    1.0 -0.999901 -0.599954 -0.443938 -0.272599 -0.716093  0.225621   \n",
       "2    1.0 -0.999953 -0.599954 -0.443938 -0.272599 -0.716093  1.268348   \n",
       "3    1.0 -0.986675 -0.599954 -1.564275 -0.272599 -0.851247  1.019336   \n",
       "\n",
       "        age       dis       tax  ...         b     lstat  rad_2  rad_3  rad_4  \\\n",
       "0 -0.212875  0.443907 -0.556334  ...  0.632757 -1.257099      0      0      0   \n",
       "1  0.314385  0.796950 -1.175887  ...  0.632757 -0.334422      1      0      0   \n",
       "2 -0.363383  0.796950 -1.175887  ...  0.502065 -1.543453      1      0      0   \n",
       "3 -0.891929  1.144611 -1.461842  ...  0.559404 -1.934975      0      1      0   \n",
       "\n",
       "   rad_5  rad_6  rad_7  rad_8  rad_24  \n",
       "0      0      0      0      0       0  \n",
       "1      0      0      0      0       0  \n",
       "2      0      0      0      0       0  \n",
       "3      0      0      0      0       0  \n",
       "\n",
       "[4 rows x 21 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_transformed_const = sm.add_constant(X_transformed)\n",
    "X_transformed_const.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1e98a6c7-59b7-4026-b9e5-4c90196ae98f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 404 entries, 288 to 351\n",
      "Data columns (total 21 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   const    404 non-null    float64\n",
      " 1   crim     404 non-null    float64\n",
      " 2   zn       404 non-null    float64\n",
      " 3   indus    404 non-null    float64\n",
      " 4   chas     404 non-null    float64\n",
      " 5   nox      404 non-null    float64\n",
      " 6   rm       404 non-null    float64\n",
      " 7   age      404 non-null    float64\n",
      " 8   dis      404 non-null    float64\n",
      " 9   tax      404 non-null    float64\n",
      " 10  ptratio  404 non-null    float64\n",
      " 11  b        404 non-null    float64\n",
      " 12  lstat    404 non-null    float64\n",
      " 13  rad_2    404 non-null    int64  \n",
      " 14  rad_3    404 non-null    int64  \n",
      " 15  rad_4    404 non-null    int64  \n",
      " 16  rad_5    404 non-null    int64  \n",
      " 17  rad_6    404 non-null    int64  \n",
      " 18  rad_7    404 non-null    int64  \n",
      " 19  rad_8    404 non-null    int64  \n",
      " 20  rad_24   404 non-null    int64  \n",
      "dtypes: float64(13), int64(8)\n",
      "memory usage: 69.4 KB\n",
      "\n",
      "\n",
      "<class 'pandas.core.series.Series'>\n",
      "Index: 404 entries, 288 to 351\n",
      "Series name: PRICE\n",
      "Non-Null Count  Dtype  \n",
      "--------------  -----  \n",
      "404 non-null    float64\n",
      "dtypes: float64(1)\n",
      "memory usage: 6.3 KB\n"
     ]
    }
   ],
   "source": [
    "# split the data into train and test sets\n",
    "X_train_transformed, X_test_transformed, y_train_transformed, y_test_transformed = train_test_split(X_transformed_const, y, test_size=0.2, random_state=101)\n",
    "\n",
    "X_train_transformed.info()\n",
    "print(\"\\n\")\n",
    "y_train_transformed.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f338a885-e878-4456-9c6c-c886ddc519ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model Full:\n",
      "\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                  PRICE   R-squared:                       0.782\n",
      "Model:                            OLS   Adj. R-squared:                  0.771\n",
      "Method:                 Least Squares   F-statistic:                     68.71\n",
      "Date:                Sun, 22 Sep 2024   Prob (F-statistic):          2.67e-113\n",
      "Time:                        14:30:17   Log-Likelihood:                -1143.5\n",
      "No. Observations:                 404   AIC:                             2329.\n",
      "Df Residuals:                     383   BIC:                             2413.\n",
      "Df Model:                          20                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const         19.2181      1.181     16.272      0.000      16.896      21.540\n",
      "crim           0.6740      0.708      0.953      0.341      -0.717       2.065\n",
      "zn             0.2665      0.323      0.824      0.410      -0.369       0.902\n",
      "indus         -0.3749      0.424     -0.885      0.377      -1.208       0.458\n",
      "chas           0.6129      0.227      2.695      0.007       0.166       1.060\n",
      "nox           -1.9707      0.595     -3.314      0.001      -3.140      -0.801\n",
      "rm             2.0417      0.312      6.554      0.000       1.429       2.654\n",
      "age            0.5782      0.415      1.393      0.164      -0.238       1.394\n",
      "dis           -3.3240      0.499     -6.665      0.000      -4.305      -2.343\n",
      "tax           -1.3336      0.440     -3.030      0.003      -2.199      -0.468\n",
      "ptratio       -1.3655      0.322     -4.244      0.000      -1.998      -0.733\n",
      "b              0.5087      0.258      1.968      0.050       0.001       1.017\n",
      "lstat         -5.7602      0.409    -14.075      0.000      -6.565      -4.956\n",
      "rad_2          1.4529      1.519      0.956      0.340      -1.534       4.440\n",
      "rad_3          3.1266      1.388      2.253      0.025       0.398       5.855\n",
      "rad_4          3.2078      1.222      2.625      0.009       0.805       5.610\n",
      "rad_5          3.0038      1.197      2.510      0.012       0.651       5.357\n",
      "rad_6          2.9968      1.416      2.116      0.035       0.213       5.781\n",
      "rad_7          3.5957      1.586      2.267      0.024       0.477       6.715\n",
      "rad_8          4.0433      1.510      2.679      0.008       1.075       7.011\n",
      "rad_24         4.1739      1.839      2.270      0.024       0.559       7.789\n",
      "==============================================================================\n",
      "Omnibus:                       89.985   Durbin-Watson:                   1.974\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              261.782\n",
      "Skew:                           1.032   Prob(JB):                     1.43e-57\n",
      "Kurtosis:                       6.360   Cond. No.                         41.2\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "# build the multiple linear regression transformed full model\n",
    "model_transformed_full = sm.OLS(y_train_transformed, X_train_transformed).fit()\n",
    "print(\"Model Transformed Full:\\n\")\n",
    "print(model_transformed_full.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "af8459a3-9651-4193-9c3b-849216d9fb5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "residual_plots(model_transformed_full)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "3a47af22-5bb8-4b1f-ab84-f2ba21f2e0ff",
   "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>Model</th>\n",
       "      <th>MAE_Train</th>\n",
       "      <th>MSE_Train</th>\n",
       "      <th>RMSE_Train</th>\n",
       "      <th>MAPE_Train</th>\n",
       "      <th>RAE_Train</th>\n",
       "      <th>RSE_Train</th>\n",
       "      <th>MAE_Test</th>\n",
       "      <th>MSE_Test</th>\n",
       "      <th>RMSE_Test</th>\n",
       "      <th>MAPE_Test</th>\n",
       "      <th>RAE_Test</th>\n",
       "      <th>RSE_Test</th>\n",
       "      <th>R2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Full Model</td>\n",
       "      <td>3.190212</td>\n",
       "      <td>20.604025</td>\n",
       "      <td>4.539166</td>\n",
       "      <td>15.962938</td>\n",
       "      <td>0.468509</td>\n",
       "      <td>0.237173</td>\n",
       "      <td>3.307085</td>\n",
       "      <td>24.818443</td>\n",
       "      <td>4.981811</td>\n",
       "      <td>17.439503</td>\n",
       "      <td>0.557222</td>\n",
       "      <td>0.338431</td>\n",
       "      <td>0.762827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Transformed Full Model</td>\n",
       "      <td>2.974367</td>\n",
       "      <td>16.830971</td>\n",
       "      <td>4.102557</td>\n",
       "      <td>15.122694</td>\n",
       "      <td>0.478322</td>\n",
       "      <td>0.217968</td>\n",
       "      <td>9.959316</td>\n",
       "      <td>156.572464</td>\n",
       "      <td>12.512892</td>\n",
       "      <td>23.465533</td>\n",
       "      <td>0.087856</td>\n",
       "      <td>0.048559</td>\n",
       "      <td>0.782032</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Model  MAE_Train  MSE_Train  RMSE_Train  MAPE_Train  \\\n",
       "0              Full Model   3.190212  20.604025    4.539166   15.962938   \n",
       "1  Transformed Full Model   2.974367  16.830971    4.102557   15.122694   \n",
       "\n",
       "   RAE_Train  RSE_Train  MAE_Test    MSE_Test  RMSE_Test  MAPE_Test  RAE_Test  \\\n",
       "0   0.468509   0.237173  3.307085   24.818443   4.981811  17.439503  0.557222   \n",
       "1   0.478322   0.217968  9.959316  156.572464  12.512892  23.465533  0.087856   \n",
       "\n",
       "   RSE_Test        R2  \n",
       "0  0.338431  0.762827  \n",
       "1  0.048559  0.782032  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores = get_metrics(y_train_transformed, model_transformed_full.predict(X_train_transformed), y_test_transformed, model_transformed_full.predict(X_test_transformed), \"Transformed Full Model\", scores)\n",
    "scores"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9432d53-88cf-4de5-a553-432df4dcde9a",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "# Calculate VIF scores (multicollinearity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "6a6323ea-c76f-4870-b8cd-b6ae75554843",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "VIF Scores before removing high VIF features:\n",
      "    feature        VIF\n",
      "0      crim  10.335714\n",
      "4       nox   7.939393\n",
      "7       dis   5.498959\n",
      "19   rad_24   5.467405\n",
      "8       tax   4.591764\n",
      "2     indus   4.225048\n",
      "6       age   3.842697\n",
      "11    lstat   3.332578\n",
      "1        zn   2.416851\n",
      "9   ptratio   2.264917\n",
      "5        rm   2.043632\n",
      "15    rad_5   1.677850\n",
      "13    rad_3   1.629966\n",
      "12    rad_2   1.465462\n",
      "10        b   1.455549\n",
      "14    rad_4   1.367433\n",
      "16    rad_6   1.259898\n",
      "18    rad_8   1.165749\n",
      "17    rad_7   1.156260\n",
      "3      chas   1.108485\n"
     ]
    }
   ],
   "source": [
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "\n",
    "vif_data = pd.DataFrame()\n",
    "vif_data[\"feature\"] = X_transformed.columns\n",
    "vif_data[\"VIF\"] = [variance_inflation_factor(X_transformed.values, i) for i in range(X.shape[1])] # The index should start from 0 for the first column\n",
    "\n",
    "print(\"VIF Scores before removing high VIF features:\")\n",
    "print(vif_data.sort_values(by=\"VIF\", ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "47b3a0a7-2b0d-4a28-9328-84130c3063ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['crim', 'nox', 'dis', 'rad_24']"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vif_columns = [c[0] for c in vif_data.values if c[1] > 5]\n",
    "vif_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "5352c9c3-8137-44fd-a4c8-bbc5bfe4a6d1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 404 entries, 203 to 365\n",
      "Data columns (total 17 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   const    404 non-null    float64\n",
      " 1   zn       404 non-null    float64\n",
      " 2   indus    404 non-null    float64\n",
      " 3   chas     404 non-null    float64\n",
      " 4   rm       404 non-null    float64\n",
      " 5   age      404 non-null    float64\n",
      " 6   tax      404 non-null    float64\n",
      " 7   ptratio  404 non-null    float64\n",
      " 8   b        404 non-null    float64\n",
      " 9   lstat    404 non-null    float64\n",
      " 10  rad_2    404 non-null    int64  \n",
      " 11  rad_3    404 non-null    int64  \n",
      " 12  rad_4    404 non-null    int64  \n",
      " 13  rad_5    404 non-null    int64  \n",
      " 14  rad_6    404 non-null    int64  \n",
      " 15  rad_7    404 non-null    int64  \n",
      " 16  rad_8    404 non-null    int64  \n",
      "dtypes: float64(10), int64(7)\n",
      "memory usage: 56.8 KB\n",
      "\n",
      "\n",
      "<class 'pandas.core.series.Series'>\n",
      "Index: 404 entries, 203 to 365\n",
      "Series name: PRICE\n",
      "Non-Null Count  Dtype  \n",
      "--------------  -----  \n",
      "404 non-null    float64\n",
      "dtypes: float64(1)\n",
      "memory usage: 6.3 KB\n"
     ]
    }
   ],
   "source": [
    "X_transformed_VIF = X_transformed.drop(vif_columns, axis=1)\n",
    "\n",
    "X_transformed_VIF_const = sm.add_constant(X_transformed_VIF)\n",
    "\n",
    "# split the data into train and test sets\n",
    "X_train_transformed_VIF, X_test_transformed_VIF, y_train_transformed_VIF, y_test_transformed_VIF = train_test_split(X_transformed_VIF_const, y, test_size=0.2, random_state=123)\n",
    "\n",
    "X_train_transformed_VIF.info()\n",
    "print(\"\\n\")\n",
    "y_train_transformed_VIF.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "4a328a5c-0cdd-4f1e-9318-01ee41881c39",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model Transformed VIF:\n",
      "\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                  PRICE   R-squared:                       0.761\n",
      "Model:                            OLS   Adj. R-squared:                  0.751\n",
      "Method:                 Least Squares   F-statistic:                     77.08\n",
      "Date:                Sun, 22 Sep 2024   Prob (F-statistic):          1.61e-109\n",
      "Time:                        15:04:47   Log-Likelihood:                -1180.7\n",
      "No. Observations:                 404   AIC:                             2395.\n",
      "Df Residuals:                     387   BIC:                             2464.\n",
      "Df Model:                          16                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const         22.3890      0.601     37.270      0.000      21.208      23.570\n",
      "zn            -0.0051      0.338     -0.015      0.988      -0.670       0.660\n",
      "indus          0.5893      0.422      1.398      0.163      -0.240       1.418\n",
      "chas           0.2915      0.263      1.109      0.268      -0.225       0.808\n",
      "rm             2.2079      0.318      6.954      0.000       1.584       2.832\n",
      "age            1.4924      0.365      4.092      0.000       0.775       2.209\n",
      "tax           -0.6452      0.446     -1.448      0.149      -1.521       0.231\n",
      "ptratio       -1.6708      0.327     -5.115      0.000      -2.313      -1.029\n",
      "b              0.1668      0.267      0.624      0.533      -0.359       0.693\n",
      "lstat         -6.1445      0.417    -14.738      0.000      -6.964      -5.325\n",
      "rad_2         -0.1941      1.406     -0.138      0.890      -2.958       2.570\n",
      "rad_3          2.3354      1.362      1.715      0.087      -0.342       5.013\n",
      "rad_4          0.1257      0.840      0.150      0.881      -1.526       1.778\n",
      "rad_5         -0.2445      0.917     -0.267      0.790      -2.048       1.559\n",
      "rad_6         -0.9558      1.174     -0.814      0.416      -3.263       1.352\n",
      "rad_7          0.8925      1.401      0.637      0.524      -1.861       3.646\n",
      "rad_8          1.3639      1.316      1.037      0.301      -1.223       3.951\n",
      "==============================================================================\n",
      "Omnibus:                      124.002   Durbin-Watson:                   2.162\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              437.898\n",
      "Skew:                           1.355   Prob(JB):                     8.16e-96\n",
      "Kurtosis:                       7.321   Cond. No.                         20.9\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "# build the multiple linear regression transformed full model\n",
    "model_transformed_VIF = sm.OLS(y_train_transformed_VIF, X_train_transformed_VIF).fit()\n",
    "print(\"Model Transformed VIF:\\n\")\n",
    "print(model_transformed_VIF.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "e2b540d8-0e4a-4036-b4a0-2765c8c1f693",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "residual_plots(model_transformed_VIF)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "fdd2809d-c17f-4563-996e-92723745f7a8",
   "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>Model</th>\n",
       "      <th>MAE_Train</th>\n",
       "      <th>MSE_Train</th>\n",
       "      <th>RMSE_Train</th>\n",
       "      <th>MAPE_Train</th>\n",
       "      <th>RAE_Train</th>\n",
       "      <th>RSE_Train</th>\n",
       "      <th>MAE_Test</th>\n",
       "      <th>MSE_Test</th>\n",
       "      <th>RMSE_Test</th>\n",
       "      <th>MAPE_Test</th>\n",
       "      <th>RAE_Test</th>\n",
       "      <th>RSE_Test</th>\n",
       "      <th>R2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Full Model</td>\n",
       "      <td>3.190212</td>\n",
       "      <td>20.604025</td>\n",
       "      <td>4.539166</td>\n",
       "      <td>15.962938</td>\n",
       "      <td>0.468509</td>\n",
       "      <td>0.237173</td>\n",
       "      <td>3.307085</td>\n",
       "      <td>24.818443</td>\n",
       "      <td>4.981811</td>\n",
       "      <td>17.439503</td>\n",
       "      <td>0.557222</td>\n",
       "      <td>0.338431</td>\n",
       "      <td>0.762827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Transformed Full Model</td>\n",
       "      <td>2.974367</td>\n",
       "      <td>16.830971</td>\n",
       "      <td>4.102557</td>\n",
       "      <td>15.122694</td>\n",
       "      <td>0.478322</td>\n",
       "      <td>0.217968</td>\n",
       "      <td>9.959316</td>\n",
       "      <td>156.572464</td>\n",
       "      <td>12.512892</td>\n",
       "      <td>23.465533</td>\n",
       "      <td>0.087856</td>\n",
       "      <td>0.048559</td>\n",
       "      <td>0.782032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Transformed VIF Model</td>\n",
       "      <td>3.243839</td>\n",
       "      <td>20.235001</td>\n",
       "      <td>4.498333</td>\n",
       "      <td>16.597178</td>\n",
       "      <td>0.492704</td>\n",
       "      <td>0.238844</td>\n",
       "      <td>4.039082</td>\n",
       "      <td>30.655138</td>\n",
       "      <td>5.536708</td>\n",
       "      <td>19.147920</td>\n",
       "      <td>0.583375</td>\n",
       "      <td>0.370519</td>\n",
       "      <td>0.761156</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Model  MAE_Train  MSE_Train  RMSE_Train  MAPE_Train  \\\n",
       "0              Full Model   3.190212  20.604025    4.539166   15.962938   \n",
       "1  Transformed Full Model   2.974367  16.830971    4.102557   15.122694   \n",
       "2   Transformed VIF Model   3.243839  20.235001    4.498333   16.597178   \n",
       "\n",
       "   RAE_Train  RSE_Train  MAE_Test    MSE_Test  RMSE_Test  MAPE_Test  RAE_Test  \\\n",
       "0   0.468509   0.237173  3.307085   24.818443   4.981811  17.439503  0.557222   \n",
       "1   0.478322   0.217968  9.959316  156.572464  12.512892  23.465533  0.087856   \n",
       "2   0.492704   0.238844  4.039082   30.655138   5.536708  19.147920  0.583375   \n",
       "\n",
       "   RSE_Test        R2  \n",
       "0  0.338431  0.762827  \n",
       "1  0.048559  0.782032  \n",
       "2  0.370519  0.761156  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores = get_metrics(y_train_transformed_VIF, model_transformed_VIF.predict(X_train_transformed_VIF), y_test_transformed_VIF, model_transformed_VIF.predict(X_test_transformed_VIF), \"Transformed VIF Model\", scores)\n",
    "scores"
   ]
  }
 ],
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