{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Vv359wqQDgFI"
      },
      "source": [
        "#Importing Libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "id": "64KNpaJZKs-j",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3f147831-762a-47ae-edf2-477d62bcb3a7"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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          ]
        }
      ],
      "source": [
        "!pip install category_encoders\n",
        "!pip install gradio\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "from sklearn.cluster import KMeans\n",
        "from sklearn.model_selection import cross_val_score\n",
        "from sklearn.neighbors import KNeighborsRegressor\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import silhouette_score\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "from sklearn.feature_selection import SelectKBest, f_regression\n",
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "from sklearn.linear_model import LinearRegression\n",
        "import category_encoders as ce\n",
        "import gradio as gr\n",
        "\n",
        "def handle_NA(df):\n",
        "    for col in df.columns:\n",
        "        if df[col].dtype == 'object':\n",
        "            common_categories = df[col].value_counts().index[:2]\n",
        "            df[col].fillna(common_categories[0], inplace=True) if len(common_categories) == 1 else df[col].fillna(common_categories[1], inplace=True)\n",
        "        else:\n",
        "            df[col] = df[col].interpolate(method='linear')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9YCvbrTi3hPR"
      },
      "source": [
        "#Data Loading"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fECk45MbLHn0",
        "outputId": "573a5247-b9ea-4623-e1cf-b10b2fbfa303"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['MSSubClass', 'MSZoning', 'LotFrontage', 'LotArea', 'Street', 'Alley',\n",
              "       'LotShape', 'LandContour', 'Utilities', 'LotConfig', 'LandSlope',\n",
              "       'Neighborhood', 'Condition1', 'Condition2', 'BldgType', 'HouseStyle',\n",
              "       'OverallQual', 'OverallCond', 'YearBuilt', 'YearRemodAdd', 'RoofStyle',\n",
              "       'RoofMatl', 'Exterior1st', 'Exterior2nd', 'MasVnrType', 'MasVnrArea',\n",
              "       'ExterQual', 'ExterCond', 'Foundation', 'BsmtQual', 'BsmtCond',\n",
              "       'BsmtExposure', 'BsmtFinType1', 'BsmtFinSF1', 'BsmtFinType2',\n",
              "       'BsmtFinSF2', 'BsmtUnfSF', 'TotalBsmtSF', 'Heating', 'HeatingQC',\n",
              "       'CentralAir', 'Electrical', '1stFlrSF', '2ndFlrSF', 'LowQualFinSF',\n",
              "       'GrLivArea', 'BsmtFullBath', 'BsmtHalfBath', 'FullBath', 'HalfBath',\n",
              "       'BedroomAbvGr', 'KitchenAbvGr', 'KitchenQual', 'TotRmsAbvGrd',\n",
              "       'Functional', 'Fireplaces', 'FireplaceQu', 'GarageType', 'GarageYrBlt',\n",
              "       'GarageFinish', 'GarageCars', 'GarageArea', 'GarageQual', 'GarageCond',\n",
              "       'PavedDrive', 'WoodDeckSF', 'OpenPorchSF', 'EnclosedPorch', '3SsnPorch',\n",
              "       'ScreenPorch', 'PoolArea', 'PoolQC', 'Fence', 'MiscFeature', 'MiscVal',\n",
              "       'MoSold', 'YrSold', 'SaleType', 'SaleCondition'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "train = pd.read_csv(\"/content/train.csv\", header=0)\n",
        "train_result = train[\"SalePrice\"]\n",
        "train = train.drop([\"SalePrice\", 'Id'], axis=1)\n",
        "train.columns"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HKvVDgf33sD9"
      },
      "source": [
        "#Data Preprocessing\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "ZRc7xZlJYdN0"
      },
      "outputs": [],
      "source": [
        "handle_NA(pd.DataFrame(train))\n",
        "\n",
        "for col in train.columns:\n",
        "    if train[col].dtype == 'object':\n",
        "        encoder = ce.OrdinalEncoder(cols=[col])\n",
        "        train = encoder.fit_transform(train)\n",
        "\n",
        "scaler = MinMaxScaler()\n",
        "train = pd.DataFrame(scaler.fit_transform(train), columns= train.columns)\n",
        "train.head()\n",
        "\n",
        "x_train, x_test, y_train, y_test = train_test_split(train, train_result, test_size=0.2, random_state=42)\n",
        "#print(x_train.head())"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nO5MW_PSD2Xr"
      },
      "source": [
        "#Clustering for feature selection\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "qemqI5kNCd1_",
        "outputId": "cc4a0e80-89b5-4db3-d2cc-40261cecfed8"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "silhouette_avg = []\n",
        "range_n_clusters = list(range(2, 10))\n",
        "for num_clusters in range_n_clusters:\n",
        "    kmeans = KMeans(n_clusters=num_clusters, n_init = 80)\n",
        "    kmeans.fit(x_train.values)\n",
        "    cluster_labels = kmeans.labels_\n",
        "    silhouette_avg.append(silhouette_score(x_train.values, cluster_labels))\n",
        "\n",
        "x_train['cluster_label'] = kmeans.labels_\n",
        "plt.plot(range_n_clusters, silhouette_avg, 'bx-')\n",
        "plt.xlabel('Values of K')\n",
        "plt.ylabel('Silhouette score')\n",
        "plt.title('Silhouette analysis For Optimal k')\n",
        "plt.show()\n",
        "\n",
        "x_train = x_train.drop(\"cluster_label\", axis = 1, inplace = False)\n",
        "\n",
        "\n",
        "optimal_clusters = range_n_clusters[silhouette_avg.index(max(silhouette_avg))]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i8-MxGSX5feH",
        "outputId": "ef6fdd4e-924c-421c-c925-92fac84f9366"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{0: 650, 1: 518}\n"
          ]
        }
      ],
      "source": [
        "kmeans = KMeans(n_clusters=optimal_clusters, random_state=42, n_init = 100)\n",
        "kmeans.fit(x_train)\n",
        "unique_labels, counts = np.unique(kmeans.labels_, return_counts=True)\n",
        "cluster_counts = dict(zip(unique_labels, counts))\n",
        "print(cluster_counts)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_Kq1e_9y5Wim",
        "outputId": "7b4a5308-3c07-4213-cee5-7723722138c0"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "           Specs        Score\n",
            "18     YearBuilt  1616.250845\n",
            "58   GarageYrBlt  1450.335652\n",
            "19  YearRemodAdd  1129.762899\n",
            "16   OverallQual   896.811574\n",
            "39     HeatingQC   753.768039\n",
            "28    Foundation   655.887543\n",
            "48      FullBath   563.669190\n",
            "60    GarageCars   499.428217\n",
            "26     ExterQual   420.446736\n",
            "61    GarageArea   358.298601\n",
            "['YearBuilt', 'GarageYrBlt', 'YearRemodAdd', 'OverallQual', 'HeatingQC', 'Foundation', 'FullBath', 'GarageCars', 'ExterQual', 'GarageArea']\n"
          ]
        }
      ],
      "source": [
        "labels = kmeans.labels_\n",
        "#print(len(labels))\n",
        "#print(x_train.head())\n",
        "\n",
        "bestfeatures = SelectKBest(score_func=f_regression, k='all')\n",
        "fit = bestfeatures.fit(x_train,labels)\n",
        "\n",
        "dfscores = pd.DataFrame(fit.scores_)\n",
        "dfcolumns = pd.DataFrame(x_train.columns)\n",
        "\n",
        "featureScores = pd.concat([dfcolumns,dfscores],axis=1)\n",
        "featureScores.columns = ['Specs','Score']\n",
        "top_features = featureScores.nlargest(10,'Score')\n",
        "top_features_names = top_features['Specs'].tolist()\n",
        "print(top_features)\n",
        "print(top_features_names)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-t91IM6o9NGa",
        "outputId": "5c3c0ba4-b3fd-4b8f-d751-a3970649f22e"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "nYgey-wH8QCC",
        "outputId": "28c219a8-2074-4e52-803d-63564aeca087"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x2000 with 81 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x2000 with 12 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "x_train.hist(figsize=(16, 20), bins=50, xlabelsize=8, ylabelsize=8, color='blue')\n",
        "x_train[top_features_names].hist(figsize=(16, 20), bins=50, xlabelsize=8, ylabelsize=8, color='cyan')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 444
        },
        "id": "V7Ky_FiUGS_U",
        "outputId": "e96d7bc7-ec1a-4737-b022-f884d10d2ba9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      YearBuilt  GarageYrBlt  YearRemodAdd  OverallQual  HeatingQC  \\\n",
              "254    0.615942     0.518182      0.116667     0.444444       0.50   \n",
              "1066   0.876812     0.845455      0.733333     0.555556       0.25   \n",
              "638    0.275362     0.727273      0.000000     0.444444       0.25   \n",
              "799    0.471014     0.354545      0.000000     0.444444       0.00   \n",
              "380    0.376812     0.218182      0.000000     0.444444       0.50   \n",
              "...         ...          ...           ...          ...        ...   \n",
              "1095   0.971014     0.963636      0.933333     0.555556       0.25   \n",
              "1130   0.405797     0.736364      0.000000     0.333333       0.50   \n",
              "1294   0.601449     0.518182      0.666667     0.444444       0.50   \n",
              "860    0.333333     0.227273      0.800000     0.666667       0.25   \n",
              "1126   0.978261     0.972727      0.950000     0.666667       0.00   \n",
              "\n",
              "      Foundation  FullBath  GarageCars  ExterQual  GarageArea  \n",
              "254          0.2  0.333333        0.25   0.333333    0.207334  \n",
              "1066         0.0  0.666667        0.50   0.000000    0.267983  \n",
              "638          0.2  0.333333        0.00   0.333333    0.000000  \n",
              "799          0.4  0.333333        0.25   0.333333    0.169252  \n",
              "380          0.4  0.666667        0.25   0.333333    0.217207  \n",
              "...          ...       ...         ...        ...         ...  \n",
              "1095         0.0  0.666667        0.50   0.000000    0.310296  \n",
              "1130         0.4  0.666667        0.50   0.333333    0.406206  \n",
              "1294         0.2  0.333333        0.50   0.333333    0.403385  \n",
              "860          0.4  0.333333        0.25   0.000000    0.152327  \n",
              "1126         0.0  0.666667        0.75   0.000000    0.465444  \n",
              "\n",
              "[1168 rows x 10 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ca192bde-3d76-4e5a-bf42-08ad644d7b5f\" class=\"colab-df-container\">\n",
              "    <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>YearBuilt</th>\n",
              "      <th>GarageYrBlt</th>\n",
              "      <th>YearRemodAdd</th>\n",
              "      <th>OverallQual</th>\n",
              "      <th>HeatingQC</th>\n",
              "      <th>Foundation</th>\n",
              "      <th>FullBath</th>\n",
              "      <th>GarageCars</th>\n",
              "      <th>ExterQual</th>\n",
              "      <th>GarageArea</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>254</th>\n",
              "      <td>0.615942</td>\n",
              "      <td>0.518182</td>\n",
              "      <td>0.116667</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.207334</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1066</th>\n",
              "      <td>0.876812</td>\n",
              "      <td>0.845455</td>\n",
              "      <td>0.733333</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.267983</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>638</th>\n",
              "      <td>0.275362</td>\n",
              "      <td>0.727273</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>799</th>\n",
              "      <td>0.471014</td>\n",
              "      <td>0.354545</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.4</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.169252</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>380</th>\n",
              "      <td>0.376812</td>\n",
              "      <td>0.218182</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.4</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.217207</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1095</th>\n",
              "      <td>0.971014</td>\n",
              "      <td>0.963636</td>\n",
              "      <td>0.933333</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.310296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1130</th>\n",
              "      <td>0.405797</td>\n",
              "      <td>0.736364</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.4</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.406206</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1294</th>\n",
              "      <td>0.601449</td>\n",
              "      <td>0.518182</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.403385</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>860</th>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.227273</td>\n",
              "      <td>0.800000</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.4</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.152327</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1126</th>\n",
              "      <td>0.978261</td>\n",
              "      <td>0.972727</td>\n",
              "      <td>0.950000</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.465444</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1168 rows × 10 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ca192bde-3d76-4e5a-bf42-08ad644d7b5f')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-ca192bde-3d76-4e5a-bf42-08ad644d7b5f button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-ca192bde-3d76-4e5a-bf42-08ad644d7b5f');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-2b69640b-4bf5-4a35-9898-be1f58ee1aa7\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2b69640b-4bf5-4a35-9898-be1f58ee1aa7')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2b69640b-4bf5-4a35-9898-be1f58ee1aa7 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_76dcb886-0aa4-49e9-9b0a-e281491bc41d\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('x_train')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_76dcb886-0aa4-49e9-9b0a-e281491bc41d button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('x_train');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ],
      "source": [
        "#print(top_features_names)\n",
        "x_train = x_train[top_features_names]\n",
        "x_test = x_test[top_features_names]\n",
        "x_train"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ql9WcsQOFI66"
      },
      "source": [
        "#Use KNN for Prediction\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 480
        },
        "id": "tRrPukP7Gyhy",
        "outputId": "e6c830ac-6c41-4b91-d706-b0a4aed62764"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Best value for k:  6 \n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "mse = []\n",
        "num = []\n",
        "for i in range(1,15):\n",
        "  num.append(i)\n",
        "\n",
        "\n",
        "for x in range(1, 15):\n",
        "    knn_regressor = KNeighborsRegressor(n_neighbors=x)\n",
        "    knn_regressor.fit(x_train, y_train)\n",
        "    y_pred = knn_regressor.predict(x_test)\n",
        "    mserror = mean_squared_error(y_test, y_pred)\n",
        "    mse.append(mserror)\n",
        "\n",
        "best_k = num[np.argmin(mse)]\n",
        "print(\"Best value for k: \", best_k, \"\\n\")\n",
        "\n",
        "\n",
        "plt.plot(num, mse)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8t43ZjMy8ZaS",
        "outputId": "4f04bf24-50c9-45fb-9f59-a1c392f9e289"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "41567.9135641904\n",
            "0.7747303841574609\n"
          ]
        }
      ],
      "source": [
        "knn_regressor = KNeighborsRegressor(n_neighbors=best_k)\n",
        "knn_regressor.fit(x_train, y_train)\n",
        "\n",
        "y_pred = knn_regressor.predict(x_test)\n",
        "\n",
        "mse = mean_squared_error(y_test, y_pred)\n",
        "print(np.sqrt(mse))\n",
        "print(r2_score(y_test, y_pred))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bRhCGqTlQFGi",
        "outputId": "ae46b040-f7e1-46e0-db52-93a3082dc79e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "46986.05877175381\n"
          ]
        }
      ],
      "source": [
        "model = LinearRegression()\n",
        "model.fit(x_train, y_train)\n",
        "predictions = model.predict(x_test)\n",
        "\n",
        "\n",
        "mse = mean_squared_error(y_test, predictions)\n",
        "rmse = np.sqrt(mse)\n",
        "print(rmse)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Implementation of Model"
      ],
      "metadata": {
        "id": "mY_mCCmA9_3j"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pickle\n",
        "\n",
        "# Save the model to disk\n",
        "filename = 'finalized_model.pkl'\n",
        "pickle.dump(model, open(filename, 'wb'))"
      ],
      "metadata": {
        "id": "tdSQKKXl-ENp"
      },
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "UQqLQ_6gAmq3"
      },
      "execution_count": 31,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.1"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}