DT_02_Classification_Tree_with_Python.ipynb

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    "colab": {
      "name": "DT_02. Classification_Tree with Python.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPvPe4bE3MScbuy7iQ0p2MG",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/DeveloperAkram/Colab-Notebooks/blob/master/DT_02_Classification_Tree_with_Python.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "M_S2zRg5K__f"
      },
      "source": [
        "**Importing the Dependencies and Dataset**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RA12_jnHKhpL"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n"
      ],
      "execution_count": 81,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1uJ351bGNiKB",
        "outputId": "9d263795-f61e-47fb-ec3f-cf902af3b4e3"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/akramchy')"
      ],
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/akramchy; to attempt to forcibly remount, call drive.mount(\"/content/akramchy\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CfpjyX4fNocd"
      },
      "source": [
        "dataset = pd.read_csv('/content/akramchy/MyDrive/Colab Notebooks/Decision Trees - Basics/Movie_classification.csv')"
      ],
      "execution_count": 83,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 240
        },
        "id": "hd2WktJtN3MO",
        "outputId": "5de727b1-2a41-45fb-af7b-51088cb71f9e"
      },
      "source": [
        "dataset.head()"
      ],
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Marketing expense</th>\n",
              "      <th>Production expense</th>\n",
              "      <th>Multiplex coverage</th>\n",
              "      <th>Budget</th>\n",
              "      <th>Movie_length</th>\n",
              "      <th>Lead_ Actor_Rating</th>\n",
              "      <th>Lead_Actress_rating</th>\n",
              "      <th>Director_rating</th>\n",
              "      <th>Producer_rating</th>\n",
              "      <th>Critic_rating</th>\n",
              "      <th>Trailer_views</th>\n",
              "      <th>3D_available</th>\n",
              "      <th>Time_taken</th>\n",
              "      <th>Twitter_hastags</th>\n",
              "      <th>Genre</th>\n",
              "      <th>Avg_age_actors</th>\n",
              "      <th>Num_multiplex</th>\n",
              "      <th>Collection</th>\n",
              "      <th>Start_Tech_Oscar</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>20.1264</td>\n",
              "      <td>59.62</td>\n",
              "      <td>0.462</td>\n",
              "      <td>36524.125</td>\n",
              "      <td>138.7</td>\n",
              "      <td>7.825</td>\n",
              "      <td>8.095</td>\n",
              "      <td>7.910</td>\n",
              "      <td>7.995</td>\n",
              "      <td>7.94</td>\n",
              "      <td>527367</td>\n",
              "      <td>YES</td>\n",
              "      <td>109.60</td>\n",
              "      <td>223.840</td>\n",
              "      <td>Thriller</td>\n",
              "      <td>23</td>\n",
              "      <td>494</td>\n",
              "      <td>48000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>20.5462</td>\n",
              "      <td>69.14</td>\n",
              "      <td>0.531</td>\n",
              "      <td>35668.655</td>\n",
              "      <td>152.4</td>\n",
              "      <td>7.505</td>\n",
              "      <td>7.650</td>\n",
              "      <td>7.440</td>\n",
              "      <td>7.470</td>\n",
              "      <td>7.44</td>\n",
              "      <td>494055</td>\n",
              "      <td>NO</td>\n",
              "      <td>146.64</td>\n",
              "      <td>243.456</td>\n",
              "      <td>Drama</td>\n",
              "      <td>42</td>\n",
              "      <td>462</td>\n",
              "      <td>43200</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>20.5458</td>\n",
              "      <td>69.14</td>\n",
              "      <td>0.531</td>\n",
              "      <td>39912.675</td>\n",
              "      <td>134.6</td>\n",
              "      <td>7.485</td>\n",
              "      <td>7.570</td>\n",
              "      <td>7.495</td>\n",
              "      <td>7.515</td>\n",
              "      <td>7.44</td>\n",
              "      <td>547051</td>\n",
              "      <td>NO</td>\n",
              "      <td>147.88</td>\n",
              "      <td>2022.400</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>38</td>\n",
              "      <td>458</td>\n",
              "      <td>69400</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>20.6474</td>\n",
              "      <td>59.36</td>\n",
              "      <td>0.542</td>\n",
              "      <td>38873.890</td>\n",
              "      <td>119.3</td>\n",
              "      <td>6.895</td>\n",
              "      <td>7.035</td>\n",
              "      <td>6.920</td>\n",
              "      <td>7.020</td>\n",
              "      <td>8.26</td>\n",
              "      <td>516279</td>\n",
              "      <td>YES</td>\n",
              "      <td>185.36</td>\n",
              "      <td>225.344</td>\n",
              "      <td>Drama</td>\n",
              "      <td>45</td>\n",
              "      <td>472</td>\n",
              "      <td>66800</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>21.3810</td>\n",
              "      <td>59.36</td>\n",
              "      <td>0.542</td>\n",
              "      <td>39701.585</td>\n",
              "      <td>127.7</td>\n",
              "      <td>6.920</td>\n",
              "      <td>7.070</td>\n",
              "      <td>6.815</td>\n",
              "      <td>7.070</td>\n",
              "      <td>8.26</td>\n",
              "      <td>531448</td>\n",
              "      <td>NO</td>\n",
              "      <td>176.48</td>\n",
              "      <td>225.792</td>\n",
              "      <td>Drama</td>\n",
              "      <td>55</td>\n",
              "      <td>395</td>\n",
              "      <td>72400</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Marketing expense  Production expense  ...  Collection  Start_Tech_Oscar\n",
              "0            20.1264               59.62  ...       48000                 1\n",
              "1            20.5462               69.14  ...       43200                 0\n",
              "2            20.5458               69.14  ...       69400                 1\n",
              "3            20.6474               59.36  ...       66800                 1\n",
              "4            21.3810               59.36  ...       72400                 1\n",
              "\n",
              "[5 rows x 19 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 240
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        "id": "5sjoeCKKN7dB",
        "outputId": "766b0b79-26c9-4bfc-afd8-6abc6c92cdc1"
      },
      "source": [
        "dataset.tail()"
      ],
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Marketing expense</th>\n",
              "      <th>Production expense</th>\n",
              "      <th>Multiplex coverage</th>\n",
              "      <th>Budget</th>\n",
              "      <th>Movie_length</th>\n",
              "      <th>Lead_ Actor_Rating</th>\n",
              "      <th>Lead_Actress_rating</th>\n",
              "      <th>Director_rating</th>\n",
              "      <th>Producer_rating</th>\n",
              "      <th>Critic_rating</th>\n",
              "      <th>Trailer_views</th>\n",
              "      <th>3D_available</th>\n",
              "      <th>Time_taken</th>\n",
              "      <th>Twitter_hastags</th>\n",
              "      <th>Genre</th>\n",
              "      <th>Avg_age_actors</th>\n",
              "      <th>Num_multiplex</th>\n",
              "      <th>Collection</th>\n",
              "      <th>Start_Tech_Oscar</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>501</th>\n",
              "      <td>21.2526</td>\n",
              "      <td>78.86</td>\n",
              "      <td>0.427</td>\n",
              "      <td>36624.115</td>\n",
              "      <td>142.6</td>\n",
              "      <td>8.68</td>\n",
              "      <td>8.775</td>\n",
              "      <td>8.620</td>\n",
              "      <td>8.970</td>\n",
              "      <td>6.8</td>\n",
              "      <td>492480</td>\n",
              "      <td>NO</td>\n",
              "      <td>186.96</td>\n",
              "      <td>243.584</td>\n",
              "      <td>Action</td>\n",
              "      <td>27</td>\n",
              "      <td>561</td>\n",
              "      <td>44800</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>502</th>\n",
              "      <td>20.9054</td>\n",
              "      <td>78.86</td>\n",
              "      <td>0.427</td>\n",
              "      <td>33996.600</td>\n",
              "      <td>150.2</td>\n",
              "      <td>8.78</td>\n",
              "      <td>8.945</td>\n",
              "      <td>8.770</td>\n",
              "      <td>8.930</td>\n",
              "      <td>7.8</td>\n",
              "      <td>482875</td>\n",
              "      <td>YES</td>\n",
              "      <td>132.24</td>\n",
              "      <td>263.296</td>\n",
              "      <td>Action</td>\n",
              "      <td>20</td>\n",
              "      <td>600</td>\n",
              "      <td>41200</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>503</th>\n",
              "      <td>21.2152</td>\n",
              "      <td>78.86</td>\n",
              "      <td>0.427</td>\n",
              "      <td>38751.680</td>\n",
              "      <td>164.5</td>\n",
              "      <td>8.83</td>\n",
              "      <td>8.970</td>\n",
              "      <td>8.855</td>\n",
              "      <td>9.010</td>\n",
              "      <td>7.8</td>\n",
              "      <td>532239</td>\n",
              "      <td>NO</td>\n",
              "      <td>109.56</td>\n",
              "      <td>243.824</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>31</td>\n",
              "      <td>576</td>\n",
              "      <td>47800</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>504</th>\n",
              "      <td>22.1918</td>\n",
              "      <td>78.86</td>\n",
              "      <td>0.427</td>\n",
              "      <td>37740.670</td>\n",
              "      <td>162.8</td>\n",
              "      <td>8.73</td>\n",
              "      <td>8.845</td>\n",
              "      <td>8.800</td>\n",
              "      <td>8.845</td>\n",
              "      <td>6.8</td>\n",
              "      <td>496077</td>\n",
              "      <td>YES</td>\n",
              "      <td>158.80</td>\n",
              "      <td>303.520</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>47</td>\n",
              "      <td>607</td>\n",
              "      <td>44000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>505</th>\n",
              "      <td>20.9482</td>\n",
              "      <td>78.86</td>\n",
              "      <td>0.427</td>\n",
              "      <td>33496.650</td>\n",
              "      <td>154.3</td>\n",
              "      <td>8.64</td>\n",
              "      <td>8.880</td>\n",
              "      <td>8.680</td>\n",
              "      <td>8.790</td>\n",
              "      <td>6.8</td>\n",
              "      <td>518438</td>\n",
              "      <td>YES</td>\n",
              "      <td>205.60</td>\n",
              "      <td>203.040</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>45</td>\n",
              "      <td>604</td>\n",
              "      <td>38000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     Marketing expense  Production expense  ...  Collection  Start_Tech_Oscar\n",
              "501            21.2526               78.86  ...       44800                 0\n",
              "502            20.9054               78.86  ...       41200                 0\n",
              "503            21.2152               78.86  ...       47800                 0\n",
              "504            22.1918               78.86  ...       44000                 0\n",
              "505            20.9482               78.86  ...       38000                 0\n",
              "\n",
              "[5 rows x 19 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hCM_SViIN-XT",
        "outputId": "2380e0a2-2ecf-4b2f-bfee-e47fde3eb8aa"
      },
      "source": [
        "dataset.shape"
      ],
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(506, 19)"
            ]
          },
          "metadata": {},
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X0TFiTjjOLro",
        "outputId": "eb03de67-e227-4f1f-af63-4a52efee0544"
      },
      "source": [
        "dataset.info()"
      ],
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 506 entries, 0 to 505\n",
            "Data columns (total 19 columns):\n",
            " #   Column               Non-Null Count  Dtype  \n",
            "---  ------               --------------  -----  \n",
            " 0   Marketing expense    506 non-null    float64\n",
            " 1   Production expense   506 non-null    float64\n",
            " 2   Multiplex coverage   506 non-null    float64\n",
            " 3   Budget               506 non-null    float64\n",
            " 4   Movie_length         506 non-null    float64\n",
            " 5   Lead_ Actor_Rating   506 non-null    float64\n",
            " 6   Lead_Actress_rating  506 non-null    float64\n",
            " 7   Director_rating      506 non-null    float64\n",
            " 8   Producer_rating      506 non-null    float64\n",
            " 9   Critic_rating        506 non-null    float64\n",
            " 10  Trailer_views        506 non-null    int64  \n",
            " 11  3D_available         506 non-null    object \n",
            " 12  Time_taken           494 non-null    float64\n",
            " 13  Twitter_hastags      506 non-null    float64\n",
            " 14  Genre                506 non-null    object \n",
            " 15  Avg_age_actors       506 non-null    int64  \n",
            " 16  Num_multiplex        506 non-null    int64  \n",
            " 17  Collection           506 non-null    int64  \n",
            " 18  Start_Tech_Oscar     506 non-null    int64  \n",
            "dtypes: float64(12), int64(5), object(2)\n",
            "memory usage: 75.2+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4y2YctSLOPPR",
        "outputId": "69b31d60-9fd4-4833-a48f-c809a307180e"
      },
      "source": [
        "dataset.isnull().sum()"
      ],
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Marketing expense       0\n",
              "Production expense      0\n",
              "Multiplex coverage      0\n",
              "Budget                  0\n",
              "Movie_length            0\n",
              "Lead_ Actor_Rating      0\n",
              "Lead_Actress_rating     0\n",
              "Director_rating         0\n",
              "Producer_rating         0\n",
              "Critic_rating           0\n",
              "Trailer_views           0\n",
              "3D_available            0\n",
              "Time_taken             12\n",
              "Twitter_hastags         0\n",
              "Genre                   0\n",
              "Avg_age_actors          0\n",
              "Num_multiplex           0\n",
              "Collection              0\n",
              "Start_Tech_Oscar        0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 88
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "E1eie9X0OaD5"
      },
      "source": [
        "**Missing Value Imputation**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fC-TDm8DOWe7",
        "outputId": "7a98babc-7b11-4f07-8a1b-c9f7f7649839"
      },
      "source": [
        "dataset['Time_taken'].mean()"
      ],
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "157.39149797570855"
            ]
          },
          "metadata": {},
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2OEuuqIzOh5T"
      },
      "source": [
        "dataset['Time_taken'].fillna(value = dataset['Time_taken'].mean(), inplace = True)"
      ],
      "execution_count": 90,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g4uNeNfDOzuu",
        "outputId": "a82130c4-767e-44dc-ac8a-9e550107b1ed"
      },
      "source": [
        "dataset.info()"
      ],
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 506 entries, 0 to 505\n",
            "Data columns (total 19 columns):\n",
            " #   Column               Non-Null Count  Dtype  \n",
            "---  ------               --------------  -----  \n",
            " 0   Marketing expense    506 non-null    float64\n",
            " 1   Production expense   506 non-null    float64\n",
            " 2   Multiplex coverage   506 non-null    float64\n",
            " 3   Budget               506 non-null    float64\n",
            " 4   Movie_length         506 non-null    float64\n",
            " 5   Lead_ Actor_Rating   506 non-null    float64\n",
            " 6   Lead_Actress_rating  506 non-null    float64\n",
            " 7   Director_rating      506 non-null    float64\n",
            " 8   Producer_rating      506 non-null    float64\n",
            " 9   Critic_rating        506 non-null    float64\n",
            " 10  Trailer_views        506 non-null    int64  \n",
            " 11  3D_available         506 non-null    object \n",
            " 12  Time_taken           506 non-null    float64\n",
            " 13  Twitter_hastags      506 non-null    float64\n",
            " 14  Genre                506 non-null    object \n",
            " 15  Avg_age_actors       506 non-null    int64  \n",
            " 16  Num_multiplex        506 non-null    int64  \n",
            " 17  Collection           506 non-null    int64  \n",
            " 18  Start_Tech_Oscar     506 non-null    int64  \n",
            "dtypes: float64(12), int64(5), object(2)\n",
            "memory usage: 75.2+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uHmL5jUvO6Ak"
      },
      "source": [
        "**Dummy Variable Creation**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 240
        },
        "id": "GVGksar2O2Xd",
        "outputId": "506f2e28-6b6b-4cc4-daf1-52c06123668b"
      },
      "source": [
        "dataset.head()"
      ],
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Marketing expense</th>\n",
              "      <th>Production expense</th>\n",
              "      <th>Multiplex coverage</th>\n",
              "      <th>Budget</th>\n",
              "      <th>Movie_length</th>\n",
              "      <th>Lead_ Actor_Rating</th>\n",
              "      <th>Lead_Actress_rating</th>\n",
              "      <th>Director_rating</th>\n",
              "      <th>Producer_rating</th>\n",
              "      <th>Critic_rating</th>\n",
              "      <th>Trailer_views</th>\n",
              "      <th>3D_available</th>\n",
              "      <th>Time_taken</th>\n",
              "      <th>Twitter_hastags</th>\n",
              "      <th>Genre</th>\n",
              "      <th>Avg_age_actors</th>\n",
              "      <th>Num_multiplex</th>\n",
              "      <th>Collection</th>\n",
              "      <th>Start_Tech_Oscar</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>20.1264</td>\n",
              "      <td>59.62</td>\n",
              "      <td>0.462</td>\n",
              "      <td>36524.125</td>\n",
              "      <td>138.7</td>\n",
              "      <td>7.825</td>\n",
              "      <td>8.095</td>\n",
              "      <td>7.910</td>\n",
              "      <td>7.995</td>\n",
              "      <td>7.94</td>\n",
              "      <td>527367</td>\n",
              "      <td>YES</td>\n",
              "      <td>109.60</td>\n",
              "      <td>223.840</td>\n",
              "      <td>Thriller</td>\n",
              "      <td>23</td>\n",
              "      <td>494</td>\n",
              "      <td>48000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>20.5462</td>\n",
              "      <td>69.14</td>\n",
              "      <td>0.531</td>\n",
              "      <td>35668.655</td>\n",
              "      <td>152.4</td>\n",
              "      <td>7.505</td>\n",
              "      <td>7.650</td>\n",
              "      <td>7.440</td>\n",
              "      <td>7.470</td>\n",
              "      <td>7.44</td>\n",
              "      <td>494055</td>\n",
              "      <td>NO</td>\n",
              "      <td>146.64</td>\n",
              "      <td>243.456</td>\n",
              "      <td>Drama</td>\n",
              "      <td>42</td>\n",
              "      <td>462</td>\n",
              "      <td>43200</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>20.5458</td>\n",
              "      <td>69.14</td>\n",
              "      <td>0.531</td>\n",
              "      <td>39912.675</td>\n",
              "      <td>134.6</td>\n",
              "      <td>7.485</td>\n",
              "      <td>7.570</td>\n",
              "      <td>7.495</td>\n",
              "      <td>7.515</td>\n",
              "      <td>7.44</td>\n",
              "      <td>547051</td>\n",
              "      <td>NO</td>\n",
              "      <td>147.88</td>\n",
              "      <td>2022.400</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>38</td>\n",
              "      <td>458</td>\n",
              "      <td>69400</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>20.6474</td>\n",
              "      <td>59.36</td>\n",
              "      <td>0.542</td>\n",
              "      <td>38873.890</td>\n",
              "      <td>119.3</td>\n",
              "      <td>6.895</td>\n",
              "      <td>7.035</td>\n",
              "      <td>6.920</td>\n",
              "      <td>7.020</td>\n",
              "      <td>8.26</td>\n",
              "      <td>516279</td>\n",
              "      <td>YES</td>\n",
              "      <td>185.36</td>\n",
              "      <td>225.344</td>\n",
              "      <td>Drama</td>\n",
              "      <td>45</td>\n",
              "      <td>472</td>\n",
              "      <td>66800</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>21.3810</td>\n",
              "      <td>59.36</td>\n",
              "      <td>0.542</td>\n",
              "      <td>39701.585</td>\n",
              "      <td>127.7</td>\n",
              "      <td>6.920</td>\n",
              "      <td>7.070</td>\n",
              "      <td>6.815</td>\n",
              "      <td>7.070</td>\n",
              "      <td>8.26</td>\n",
              "      <td>531448</td>\n",
              "      <td>NO</td>\n",
              "      <td>176.48</td>\n",
              "      <td>225.792</td>\n",
              "      <td>Drama</td>\n",
              "      <td>55</td>\n",
              "      <td>395</td>\n",
              "      <td>72400</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Marketing expense  Production expense  ...  Collection  Start_Tech_Oscar\n",
              "0            20.1264               59.62  ...       48000                 1\n",
              "1            20.5462               69.14  ...       43200                 0\n",
              "2            20.5458               69.14  ...       69400                 1\n",
              "3            20.6474               59.36  ...       66800                 1\n",
              "4            21.3810               59.36  ...       72400                 1\n",
              "\n",
              "[5 rows x 19 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tbfE9gOKO_IW"
      },
      "source": [
        "dataset = pd.get_dummies(dataset, columns= ['3D_available', 'Genre'], drop_first= True)"
      ],
      "execution_count": 93,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 240
        },
        "id": "kWBBA99GPbVJ",
        "outputId": "7f3005a3-d8dc-480d-80de-fc4f86c82f94"
      },
      "source": [
        "dataset.head()"
      ],
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>Marketing expense</th>\n",
              "      <th>Production expense</th>\n",
              "      <th>Multiplex coverage</th>\n",
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              "      <th>Movie_length</th>\n",
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              "      <th>Lead_Actress_rating</th>\n",
              "      <th>Director_rating</th>\n",
              "      <th>Producer_rating</th>\n",
              "      <th>Critic_rating</th>\n",
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              "      <th>Time_taken</th>\n",
              "      <th>Twitter_hastags</th>\n",
              "      <th>Avg_age_actors</th>\n",
              "      <th>Num_multiplex</th>\n",
              "      <th>Collection</th>\n",
              "      <th>Start_Tech_Oscar</th>\n",
              "      <th>3D_available_YES</th>\n",
              "      <th>Genre_Comedy</th>\n",
              "      <th>Genre_Drama</th>\n",
              "      <th>Genre_Thriller</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>20.1264</td>\n",
              "      <td>59.62</td>\n",
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              "      <td>8.095</td>\n",
              "      <td>7.910</td>\n",
              "      <td>7.995</td>\n",
              "      <td>7.94</td>\n",
              "      <td>527367</td>\n",
              "      <td>109.60</td>\n",
              "      <td>223.840</td>\n",
              "      <td>23</td>\n",
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              "      <td>1</td>\n",
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              "      <th>1</th>\n",
              "      <td>20.5462</td>\n",
              "      <td>69.14</td>\n",
              "      <td>0.531</td>\n",
              "      <td>35668.655</td>\n",
              "      <td>152.4</td>\n",
              "      <td>7.505</td>\n",
              "      <td>7.650</td>\n",
              "      <td>7.440</td>\n",
              "      <td>7.470</td>\n",
              "      <td>7.44</td>\n",
              "      <td>494055</td>\n",
              "      <td>146.64</td>\n",
              "      <td>243.456</td>\n",
              "      <td>42</td>\n",
              "      <td>462</td>\n",
              "      <td>43200</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>20.5458</td>\n",
              "      <td>69.14</td>\n",
              "      <td>0.531</td>\n",
              "      <td>39912.675</td>\n",
              "      <td>134.6</td>\n",
              "      <td>7.485</td>\n",
              "      <td>7.570</td>\n",
              "      <td>7.495</td>\n",
              "      <td>7.515</td>\n",
              "      <td>7.44</td>\n",
              "      <td>547051</td>\n",
              "      <td>147.88</td>\n",
              "      <td>2022.400</td>\n",
              "      <td>38</td>\n",
              "      <td>458</td>\n",
              "      <td>69400</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>20.6474</td>\n",
              "      <td>59.36</td>\n",
              "      <td>0.542</td>\n",
              "      <td>38873.890</td>\n",
              "      <td>119.3</td>\n",
              "      <td>6.895</td>\n",
              "      <td>7.035</td>\n",
              "      <td>6.920</td>\n",
              "      <td>7.020</td>\n",
              "      <td>8.26</td>\n",
              "      <td>516279</td>\n",
              "      <td>185.36</td>\n",
              "      <td>225.344</td>\n",
              "      <td>45</td>\n",
              "      <td>472</td>\n",
              "      <td>66800</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>21.3810</td>\n",
              "      <td>59.36</td>\n",
              "      <td>0.542</td>\n",
              "      <td>39701.585</td>\n",
              "      <td>127.7</td>\n",
              "      <td>6.920</td>\n",
              "      <td>7.070</td>\n",
              "      <td>6.815</td>\n",
              "      <td>7.070</td>\n",
              "      <td>8.26</td>\n",
              "      <td>531448</td>\n",
              "      <td>176.48</td>\n",
              "      <td>225.792</td>\n",
              "      <td>55</td>\n",
              "      <td>395</td>\n",
              "      <td>72400</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Marketing expense  Production expense  ...  Genre_Drama  Genre_Thriller\n",
              "0            20.1264               59.62  ...            0               1\n",
              "1            20.5462               69.14  ...            1               0\n",
              "2            20.5458               69.14  ...            0               0\n",
              "3            20.6474               59.36  ...            1               0\n",
              "4            21.3810               59.36  ...            1               0\n",
              "\n",
              "[5 rows x 21 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Dg2kqSc9PkcM"
      },
      "source": [
        "X-y Split"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DUgld3cHPeOn",
        "outputId": "12fe588e-8792-4536-8ad5-01fa598f1e06"
      },
      "source": [
        "X = dataset.loc[:, dataset.columns != 'Start_Tech_Oscar']\n",
        "type(X)"
      ],
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas.core.frame.DataFrame"
            ]
          },
          "metadata": {},
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 240
        },
        "id": "Ro7IsiK1P6UP",
        "outputId": "abcd488a-f968-4845-d2dd-f9a2cb800de2"
      },
      "source": [
        "X.head()"
      ],
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <th>Production expense</th>\n",
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              "      <td>20.5458</td>\n",
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              "      <td>2022.400</td>\n",
              "      <td>38</td>\n",
              "      <td>458</td>\n",
              "      <td>69400</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>20.6474</td>\n",
              "      <td>59.36</td>\n",
              "      <td>0.542</td>\n",
              "      <td>38873.890</td>\n",
              "      <td>119.3</td>\n",
              "      <td>6.895</td>\n",
              "      <td>7.035</td>\n",
              "      <td>6.920</td>\n",
              "      <td>7.020</td>\n",
              "      <td>8.26</td>\n",
              "      <td>516279</td>\n",
              "      <td>185.36</td>\n",
              "      <td>225.344</td>\n",
              "      <td>45</td>\n",
              "      <td>472</td>\n",
              "      <td>66800</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>21.3810</td>\n",
              "      <td>59.36</td>\n",
              "      <td>0.542</td>\n",
              "      <td>39701.585</td>\n",
              "      <td>127.7</td>\n",
              "      <td>6.920</td>\n",
              "      <td>7.070</td>\n",
              "      <td>6.815</td>\n",
              "      <td>7.070</td>\n",
              "      <td>8.26</td>\n",
              "      <td>531448</td>\n",
              "      <td>176.48</td>\n",
              "      <td>225.792</td>\n",
              "      <td>55</td>\n",
              "      <td>395</td>\n",
              "      <td>72400</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Marketing expense  Production expense  ...  Genre_Drama  Genre_Thriller\n",
              "0            20.1264               59.62  ...            0               1\n",
              "1            20.5462               69.14  ...            1               0\n",
              "2            20.5458               69.14  ...            0               0\n",
              "3            20.6474               59.36  ...            1               0\n",
              "4            21.3810               59.36  ...            1               0\n",
              "\n",
              "[5 rows x 20 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 96
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tZUeaphmP8Mx",
        "outputId": "c1449d72-0dfb-4f7b-bc7a-5b041483dd5f"
      },
      "source": [
        "X.shape"
      ],
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(506, 20)"
            ]
          },
          "metadata": {},
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G69piNHIP_0V",
        "outputId": "bbf03e72-f532-4e93-9171-a742b150d339"
      },
      "source": [
        "y = dataset['Start_Tech_Oscar']\n",
        "type(y)"
      ],
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas.core.series.Series"
            ]
          },
          "metadata": {},
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D4Eqh1E4QPE6",
        "outputId": "4a50f7e2-7a26-4785-d641-fbd0c9843f00"
      },
      "source": [
        "y.head()"
      ],
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    1\n",
              "1    0\n",
              "2    1\n",
              "3    1\n",
              "4    1\n",
              "Name: Start_Tech_Oscar, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oPwnuaBkQQze",
        "outputId": "c5b6a57d-1a88-41bb-8cc2-da91bf64943f"
      },
      "source": [
        "y.shape"
      ],
      "execution_count": 100,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(506,)"
            ]
          },
          "metadata": {},
          "execution_count": 100
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tv1FjIXOQV0m"
      },
      "source": [
        "**Train - Test Split**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8dAD9eyIQURC"
      },
      "source": [
        "from sklearn.model_selection import train_test_split"
      ],
      "execution_count": 101,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZE-MtNYzQm_f"
      },
      "source": [
        "X_train, X_test, y_tarin, y_test = train_test_split(X, y, test_size = 0.2, random_state = 0)"
      ],
      "execution_count": 102,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 240
        },
        "id": "Koo-1EZeQzsS",
        "outputId": "258927cc-01ef-482b-efbc-40d0241c27ac"
      },
      "source": [
        "X_train.head()"
      ],
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Marketing expense</th>\n",
              "      <th>Production expense</th>\n",
              "      <th>Multiplex coverage</th>\n",
              "      <th>Budget</th>\n",
              "      <th>Movie_length</th>\n",
              "      <th>Lead_ Actor_Rating</th>\n",
              "      <th>Lead_Actress_rating</th>\n",
              "      <th>Director_rating</th>\n",
              "      <th>Producer_rating</th>\n",
              "      <th>Critic_rating</th>\n",
              "      <th>Trailer_views</th>\n",
              "      <th>Time_taken</th>\n",
              "      <th>Twitter_hastags</th>\n",
              "      <th>Avg_age_actors</th>\n",
              "      <th>Num_multiplex</th>\n",
              "      <th>Collection</th>\n",
              "      <th>3D_available_YES</th>\n",
              "      <th>Genre_Comedy</th>\n",
              "      <th>Genre_Drama</th>\n",
              "      <th>Genre_Thriller</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>220</th>\n",
              "      <td>27.1618</td>\n",
              "      <td>67.40</td>\n",
              "      <td>0.493</td>\n",
              "      <td>38612.805</td>\n",
              "      <td>162.0</td>\n",
              "      <td>8.485</td>\n",
              "      <td>8.640</td>\n",
              "      <td>8.485</td>\n",
              "      <td>8.670</td>\n",
              "      <td>8.52</td>\n",
              "      <td>480270</td>\n",
              "      <td>174.68</td>\n",
              "      <td>224.272</td>\n",
              "      <td>23</td>\n",
              "      <td>536</td>\n",
              "      <td>53400</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>23.1752</td>\n",
              "      <td>76.62</td>\n",
              "      <td>0.587</td>\n",
              "      <td>33113.355</td>\n",
              "      <td>91.0</td>\n",
              "      <td>7.280</td>\n",
              "      <td>7.400</td>\n",
              "      <td>7.290</td>\n",
              "      <td>7.455</td>\n",
              "      <td>8.16</td>\n",
              "      <td>491978</td>\n",
              "      <td>200.68</td>\n",
              "      <td>263.472</td>\n",
              "      <td>46</td>\n",
              "      <td>400</td>\n",
              "      <td>43400</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>240</th>\n",
              "      <td>22.2658</td>\n",
              "      <td>64.86</td>\n",
              "      <td>0.572</td>\n",
              "      <td>38312.835</td>\n",
              "      <td>127.8</td>\n",
              "      <td>6.755</td>\n",
              "      <td>6.935</td>\n",
              "      <td>6.800</td>\n",
              "      <td>6.840</td>\n",
              "      <td>8.68</td>\n",
              "      <td>470107</td>\n",
              "      <td>204.80</td>\n",
              "      <td>224.320</td>\n",
              "      <td>24</td>\n",
              "      <td>387</td>\n",
              "      <td>54000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>21.7658</td>\n",
              "      <td>70.74</td>\n",
              "      <td>0.476</td>\n",
              "      <td>33396.660</td>\n",
              "      <td>140.1</td>\n",
              "      <td>7.065</td>\n",
              "      <td>7.265</td>\n",
              "      <td>7.150</td>\n",
              "      <td>7.400</td>\n",
              "      <td>8.96</td>\n",
              "      <td>459241</td>\n",
              "      <td>139.16</td>\n",
              "      <td>243.664</td>\n",
              "      <td>41</td>\n",
              "      <td>522</td>\n",
              "      <td>45800</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>417</th>\n",
              "      <td>538.8120</td>\n",
              "      <td>91.20</td>\n",
              "      <td>0.321</td>\n",
              "      <td>29463.720</td>\n",
              "      <td>162.6</td>\n",
              "      <td>9.135</td>\n",
              "      <td>9.305</td>\n",
              "      <td>9.095</td>\n",
              "      <td>9.165</td>\n",
              "      <td>6.96</td>\n",
              "      <td>302776</td>\n",
              "      <td>172.16</td>\n",
              "      <td>301.664</td>\n",
              "      <td>60</td>\n",
              "      <td>589</td>\n",
              "      <td>20800</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     Marketing expense  Production expense  ...  Genre_Drama  Genre_Thriller\n",
              "220            27.1618               67.40  ...            0               1\n",
              "71             23.1752               76.62  ...            0               0\n",
              "240            22.2658               64.86  ...            0               0\n",
              "6              21.7658               70.74  ...            0               1\n",
              "417           538.8120               91.20  ...            0               0\n",
              "\n",
              "[5 rows x 20 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 103
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UpL0EqFrQ4kj",
        "outputId": "a4414587-3582-4b5c-ae08-4128f593bfbe"
      },
      "source": [
        "print(X.shape, X_train.shape, X_test.shape)"
      ],
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(506, 20) (404, 20) (102, 20)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wDgPHBblRKNB"
      },
      "source": [
        "**Training Classification Tree**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "duzOXzniQ_JO"
      },
      "source": [
        "from sklearn import tree\n",
        "clftree = tree.DecisionTreeClassifier(max_depth = 3)"
      ],
      "execution_count": 105,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ynIpZR2jRhGA",
        "outputId": "f8391aba-417b-4bb0-d25d-67cc5cd05280"
      },
      "source": [
        "clftree.fit(X_train, y_tarin)"
      ],
      "execution_count": 106,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
              "                       max_depth=3, max_features=None, max_leaf_nodes=None,\n",
              "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                       min_samples_leaf=1, min_samples_split=2,\n",
              "                       min_weight_fraction_leaf=0.0, presort='deprecated',\n",
              "                       random_state=None, splitter='best')"
            ]
          },
          "metadata": {},
          "execution_count": 106
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vmQS2ebyR39y"
      },
      "source": [
        "Predict values using trained model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fr6hpQfLR1lN"
      },
      "source": [
        "y_tarin_pred = clftree.predict(X_train)\n",
        "y_test_pred = clftree.predict(X_test)"
      ],
      "execution_count": 107,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EIJPS42LSJJ5",
        "outputId": "1df955c4-08ee-4f72-cbe3-6eebdb31ca6e"
      },
      "source": [
        "y_test_pred"
      ],
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0,\n",
              "       0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1,\n",
              "       0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0,\n",
              "       0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0])"
            ]
          },
          "metadata": {},
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uyXxp1IxSVfi"
      },
      "source": [
        "**Model Performance**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nT3T2EksSLa-"
      },
      "source": [
        "from sklearn.metrics import accuracy_score, confusion_matrix"
      ],
      "execution_count": 109,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RCq1JXHkSi3k",
        "outputId": "714f758b-d530-4b78-fa9f-15219a35e5d1"
      },
      "source": [
        "confusion_matrix(y_tarin, y_tarin_pred)"
      ],
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[172,  14],\n",
              "       [126,  92]])"
            ]
          },
          "metadata": {},
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4O4O7JmISoYR",
        "outputId": "5a8ce545-7545-402d-e058-2fb19870d99c"
      },
      "source": [
        "confusion_matrix(y_test, y_test_pred)"
      ],
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[39,  5],\n",
              "       [41, 17]])"
            ]
          },
          "metadata": {},
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gyKo3jGETHfz",
        "outputId": "bce01826-d83e-4c17-d254-2b58699a7277"
      },
      "source": [
        "accuracy_score(y_tarin, y_tarin_pred)"
      ],
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.6534653465346535"
            ]
          },
          "metadata": {},
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KFOJduJSS7pa",
        "outputId": "328b50d7-3dd6-44eb-ac4b-7e4fe71cd6d1"
      },
      "source": [
        "accuracy_score(y_test, y_test_pred)"
      ],
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.5490196078431373"
            ]
          },
          "metadata": {},
          "execution_count": 113
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XQ6RzQRSTZdC"
      },
      "source": [
        "**Plotting decision tree**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yOOxjVKsTSrY"
      },
      "source": [
        "dot_data = tree.export_graphviz(clftree, out_file= None, feature_names= X_train.columns, filled= True)"
      ],
      "execution_count": 114,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "91eC4zVvUOSn"
      },
      "source": [
        "from IPython.display import Image"
      ],
      "execution_count": 115,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yI4wqIWYUSuH"
      },
      "source": [
        "import pydotplus"
      ],
      "execution_count": 116,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        },
        "id": "NRR1-RM3UVg4",
        "outputId": "a4e55933-b0df-4b2c-a595-a9a2e996ba99"
      },
      "source": [
        "graph = pydotplus.graph_from_dot_data(dot_data)\n",
        "Image(graph.create_png())"
      ],
      "execution_count": 117,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {},
          "execution_count": 117
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "stpoNHIRVhId"
      },
      "source": [
        "**Controlling Tree Growth**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 653
        },
        "id": "9R33YdjPUjaB",
        "outputId": "69ca7b82-ddee-40f1-fbe2-72ee807d4558"
      },
      "source": [
        "clftree2 = tree.DecisionTreeClassifier(min_samples_leaf= 20, max_depth= 4)\n",
        "clftree2.fit(X_train, y_tarin)\n",
        "\n",
        "dot_data = tree.export_graphviz(clftree2, out_file= None, feature_names= X_train.columns, filled= True)\n",
        "graph2 = pydotplus.graph_from_dot_data(dot_data)\n",
        "Image(graph2.create_png())"
      ],
      "execution_count": 118,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {},
          "execution_count": 118
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UvJmF7rYWI--",
        "outputId": "2ef76d83-cb46-4623-ad94-c3a8b2979599"
      },
      "source": [
        "accuracy_score(y_test, clftree2.predict(X_test))"
      ],
      "execution_count": 119,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.5588235294117647"
            ]
          },
          "metadata": {},
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tAePBIemWdvW"
      },
      "source": [
        ""
      ],
      "execution_count": 119,
      "outputs": []
    }
  ]
}