Students Exam Performance.ipynb

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        "Notebook Imports"
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            "Building wheels for collected packages: pyperclip\n",
            "  Building wheel for pyperclip (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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        "!pip install optuna #for google collab"
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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import plotly.express as px\n",
        "import plotly.graph_objects as go\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "from sklearn.base import BaseEstimator, TransformerMixin\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.preprocessing import StandardScaler, OneHotEncoder, OrdinalEncoder\n",
        "from sklearn.model_selection import train_test_split, RandomizedSearchCV, GridSearchCV, cross_val_score, KFold\n",
        "from sklearn.ensemble import RandomForestRegressor\n",
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "\n",
        "import optuna\n",
        "\n",
        "import tensorflow as tf"
      ]
    },
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        "<div style='color: #216969;\n",
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        "           border-radius:15px;\n",
        "           text-align:center;\n",
        "           font-weight:600;\n",
        "           border-style: solid;\n",
        "           border-color: dark green;\n",
        "           font-family: \"Cambria\";'>\n",
        "Importing data"
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              "   gender race/ethnicity parental level of education         lunch  \\\n",
              "0  female        group B           bachelor's degree      standard   \n",
              "1  female        group C                some college      standard   \n",
              "2  female        group B             master's degree      standard   \n",
              "3    male        group A          associate's degree  free/reduced   \n",
              "4    male        group C                some college      standard   \n",
              "\n",
              "  test preparation course  math score  reading score  writing score  \n",
              "0                    none          72             72             74  \n",
              "1               completed          69             90             88  \n",
              "2                    none          90             95             93  \n",
              "3                    none          47             57             44  \n",
              "4                    none          76             78             75  "
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
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      ],
      "source": [
        "data = pd.read_csv('StudentsPerformance.csv')\n",
        "data.head()"
      ]
    },
    {
      "cell_type": "code",
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        {
          "data": {
            "text/plain": [
              "gender                         0\n",
              "race/ethnicity                 0\n",
              "parental level of education    0\n",
              "lunch                          0\n",
              "test preparation course        0\n",
              "math score                     0\n",
              "reading score                  0\n",
              "writing score                  0\n",
              "dtype: int64"
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      "source": [
        "data.isnull().sum()"
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      },
      "source": [
        "- There are no missing values in this dataset"
      ]
    },
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              "      <td>1000.000000</td>\n",
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              "       math score  reading score  writing score\n",
              "count  1000.00000    1000.000000    1000.000000\n",
              "mean     66.08900      69.169000      68.054000\n",
              "std      15.16308      14.600192      15.195657\n",
              "min       0.00000      17.000000      10.000000\n",
              "25%      57.00000      59.000000      57.750000\n",
              "50%      66.00000      70.000000      69.000000\n",
              "75%      77.00000      79.000000      79.000000\n",
              "max     100.00000     100.000000     100.000000"
            ]
          },
          "execution_count": 8,
          "metadata": {},
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        }
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      "source": [
        "- Mean maths score is lowest among the different type of scores.\n",
        "- Half of the students have marks greater than or equal to 70 in reading exam"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
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          "status": "completed"
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        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1000 entries, 0 to 999\n",
            "Data columns (total 8 columns):\n",
            " #   Column                       Non-Null Count  Dtype \n",
            "---  ------                       --------------  ----- \n",
            " 0   gender                       1000 non-null   object\n",
            " 1   race/ethnicity               1000 non-null   object\n",
            " 2   parental level of education  1000 non-null   object\n",
            " 3   lunch                        1000 non-null   object\n",
            " 4   test preparation course      1000 non-null   object\n",
            " 5   math score                   1000 non-null   int64 \n",
            " 6   reading score                1000 non-null   int64 \n",
            " 7   writing score                1000 non-null   int64 \n",
            "dtypes: int64(3), object(5)\n",
            "memory usage: 62.6+ KB\n"
          ]
        }
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      "source": [
        "data.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "587251c0",
      "metadata": {
        "id": "587251c0",
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          "status": "completed"
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      "source": [
        "<div style='color: #216969;\n",
        "           background-color: #EAF6F6;\n",
        "           font-size: 200%;\n",
        "           border-radius:15px;\n",
        "           text-align:center;\n",
        "           font-weight:600;\n",
        "           border-style: solid;\n",
        "           border-color: dark green;\n",
        "           font-family: \"Cambria\";'>\n",
        "Feature Engineering"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "05a87915",
      "metadata": {
        "id": "05a87915",
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        },
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      },
      "source": [
        "- We can derive the following 2 features in this dataset using the different types of scores.\n",
        "   - **Percentage**\n",
        "   - **Grade**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "c30e8451",
      "metadata": {
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      "source": [
        "data['Percentage'] = round((data['reading score'] + data['writing score'] + data['math score']) / 3, 2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "id": "896dcc6e",
      "metadata": {
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      "source": [
        "def Grade(percentage):\n",
        "    if percentage >= 95: return \"O\"\n",
        "    if percentage > 81 : return \"A\"\n",
        "    if percentage > 71 : return \"B\"\n",
        "    if percentage > 61 : return \"C\"\n",
        "    if percentage > 51 : return \"D\"\n",
        "    if percentage > 41 : return \"E\"\n",
        "    else: return \"F\"\n",
        "\n",
        "data[\"Grade\"] = data['Percentage'].apply(lambda x: Grade(x))"
      ]
    },
    {
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      "execution_count": 12,
      "id": "d1472a7f",
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              "    .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",
              "    [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-0cd53143-041b-486c-9f86-f9efe243d64f 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-0cd53143-041b-486c-9f86-f9efe243d64f');\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",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   gender race/ethnicity parental level of education         lunch  \\\n",
              "0  female        group B           bachelor's degree      standard   \n",
              "1  female        group C                some college      standard   \n",
              "2  female        group B             master's degree      standard   \n",
              "3    male        group A          associate's degree  free/reduced   \n",
              "4    male        group C                some college      standard   \n",
              "\n",
              "  test preparation course  math score  reading score  writing score  \\\n",
              "0                    none          72             72             74   \n",
              "1               completed          69             90             88   \n",
              "2                    none          90             95             93   \n",
              "3                    none          47             57             44   \n",
              "4                    none          76             78             75   \n",
              "\n",
              "   Percentage Grade  \n",
              "0       72.67     B  \n",
              "1       82.33     A  \n",
              "2       92.67     A  \n",
              "3       49.33     E  \n",
              "4       76.33     B  "
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "18ff46ec",
      "metadata": {
        "id": "18ff46ec",
        "papermill": {
          "duration": 0.013374,
          "end_time": "2022-09-30T12:12:58.048054",
          "exception": false,
          "start_time": "2022-09-30T12:12:58.034680",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "<div style='color: #216969;\n",
        "           background-color: #EAF6F6;\n",
        "           font-size: 200%;\n",
        "           border-radius:15px;\n",
        "           text-align:center;\n",
        "           font-weight:600;\n",
        "           border-style: solid;\n",
        "           border-color: dark green;\n",
        "           font-family: \"Cambria\";'>\n",
        "Exploratory Data Analysis "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "id": "1acf80a2",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 400
        },
        "execution": {
          "iopub.execute_input": "2022-09-30T12:12:58.077496Z",
          "iopub.status.busy": "2022-09-30T12:12:58.077114Z",
          "iopub.status.idle": "2022-09-30T12:12:58.688741Z",
          "shell.execute_reply": "2022-09-30T12:12:58.687515Z"
        },
        "id": "1acf80a2",
        "outputId": "ff28d1a1-eebb-4e68-fdd3-2777985d088c",
        "papermill": {
          "duration": 0.630381,
          "end_time": "2022-09-30T12:12:58.692306",
          "exception": false,
          "start_time": "2022-09-30T12:12:58.061925",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1440x432 with 3 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.set_context('notebook', font_scale= 1.3)\n",
        "plt.rcParams['figure.facecolor'] = \"#ffffe6\"\n",
        "plt.rcParams['axes.facecolor'] = \"#ffffe6\"\n",
        "fig, ax = plt.subplots(1, 3, figsize = (20, 6))\n",
        "ax1 = sns.violinplot(x = data['gender'], y = data['writing score'], palette= 'crest', ax= ax[0])\n",
        "ax1 = sns.violinplot(x = data['gender'], y = data['reading score'], palette= 'crest', ax= ax[1])\n",
        "ax1 = sns.violinplot(x = data['gender'], y = data['math score'], palette= 'crest', ax= ax[2])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "id": "3ada1721",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 400
        },
        "execution": {
          "iopub.execute_input": "2022-09-30T12:12:58.724797Z",
          "iopub.status.busy": "2022-09-30T12:12:58.724107Z",
          "iopub.status.idle": "2022-09-30T12:12:59.712915Z",
          "shell.execute_reply": "2022-09-30T12:12:59.711736Z"
        },
        "id": "3ada1721",
        "outputId": "a991b6f3-bab5-4a4e-b03e-428c42be10a4",
        "papermill": {
          "duration": 1.007932,
          "end_time": "2022-09-30T12:12:59.715386",
          "exception": false,
          "start_time": "2022-09-30T12:12:58.707454",
          "status": "completed"
        },
        "scrolled": true,
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1440x432 with 3 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.set_context('notebook', font_scale= 1.3)\n",
        "plt.rcParams['figure.facecolor'] = \"#ffffe6\"\n",
        "plt.rcParams['axes.facecolor'] = \"#ffffe6\"\n",
        "fig, ax = plt.subplots(1, 3, figsize = (20, 6))\n",
        "ax1 = sns.histplot(x = data['writing score'], hue = data['gender'] , palette= 'plasma', ax= ax[0])\n",
        "ax1 = sns.histplot(x = data['reading score'], hue = data['gender'], palette= 'plasma', ax= ax[1])\n",
        "ax1 = sns.histplot(x = data['math score'], hue = data['gender'], palette= 'plasma', ax= ax[2])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "id": "169fbf47",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "id": "169fbf47",
        "outputId": "53595314-0ed6-4be8-997b-8e0a6b46889d"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_4c563_ th {\n",
              "  background-color: #87CEFA;\n",
              "  border: solid 1px;\n",
              "}\n",
              "#T_4c563_ td {\n",
              "  background-color: #e0ffff;\n",
              "  border: solid 1px;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_4c563_\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"col_heading level0 col0\" > </th>\n",
              "      <th class=\"col_heading level0 col1\" >Female</th>\n",
              "      <th class=\"col_heading level0 col2\" >Male</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td id=\"T_4c563_row0_col0\" class=\"data row0 col0\" >math score</td>\n",
              "      <td id=\"T_4c563_row0_col1\" class=\"data row0 col1\" >63.630000</td>\n",
              "      <td id=\"T_4c563_row0_col2\" class=\"data row0 col2\" >68.730000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td id=\"T_4c563_row1_col0\" class=\"data row1 col0\" >reading score</td>\n",
              "      <td id=\"T_4c563_row1_col1\" class=\"data row1 col1\" >72.610000</td>\n",
              "      <td id=\"T_4c563_row1_col2\" class=\"data row1 col2\" >65.470000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td id=\"T_4c563_row2_col0\" class=\"data row2 col0\" >writing score</td>\n",
              "      <td id=\"T_4c563_row2_col1\" class=\"data row2 col1\" >72.470000</td>\n",
              "      <td id=\"T_4c563_row2_col2\" class=\"data row2 col2\" >63.310000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f736fd86190>"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "gender_mean_score = data.groupby('gender')[['math score', 'reading score', 'writing score']].mean().round(2).transpose().reset_index()\n",
        "gender_mean_score = gender_mean_score.rename(columns = {'index':' ','female':'Female','male':'Male'})\n",
        "s = gender_mean_score.style.hide_index()\n",
        "s = s.set_table_styles(\n",
        "   [{\n",
        "       'selector': 'th',\n",
        "       'props': [('background-color', '#87CEFA'),('border','solid 1px')]\n",
        "   },{\n",
        "       'selector': 'td',\n",
        "       'props': [('background-color', '#e0ffff'),('border','solid 1px')]\n",
        "   }])\n",
        "s"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "22dba96e",
      "metadata": {
        "id": "22dba96e",
        "papermill": {
          "duration": 0.015308,
          "end_time": "2022-09-30T12:12:59.921974",
          "exception": false,
          "start_time": "2022-09-30T12:12:59.906666",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "- Females tend to do better than males in both reading and writing\n",
        "- Males perform better in Maths"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "id": "4d7e5323",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 574
        },
        "execution": {
          "iopub.execute_input": "2022-09-30T12:12:59.955726Z",
          "iopub.status.busy": "2022-09-30T12:12:59.954971Z",
          "iopub.status.idle": "2022-09-30T12:13:08.841100Z",
          "shell.execute_reply": "2022-09-30T12:13:08.840024Z"
        },
        "id": "4d7e5323",
        "outputId": "6c749a6c-d763-4129-9fcb-6d1299aa0366",
        "papermill": {
          "duration": 8.906127,
          "end_time": "2022-09-30T12:13:08.844025",
          "exception": false,
          "start_time": "2022-09-30T12:12:59.937898",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1252.61x576 with 20 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.rcParams['figure.facecolor'] = \"#ffffe6\"\n",
        "plt.rcParams['axes.facecolor'] = \"#ffffe6\"\n",
        "\n",
        "grid = sns.PairGrid(data, vars=['math score', 'reading score', 'writing score', 'Percentage'], hue= 'gender', palette= 'hot_r',\n",
        "                    height=2, aspect = 2)\n",
        "\n",
        "grid = grid.map_diag(sns.histplot)\n",
        "grid = grid.map_lower(sns.scatterplot, alpha =  0.7)\n",
        "grid = grid.map_upper(sns.kdeplot, n_levels = 10, shade = True)\n",
        "\n",
        "grid.add_legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "id": "beb10a4b",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 495
        },
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:08.882246Z",
          "iopub.status.busy": "2022-09-30T12:13:08.881578Z",
          "iopub.status.idle": "2022-09-30T12:13:09.252294Z",
          "shell.execute_reply": "2022-09-30T12:13:09.251158Z"
        },
        "id": "beb10a4b",
        "outputId": "c7fac410-92b0-474c-d07e-faaa91303615",
        "papermill": {
          "duration": 0.392879,
          "end_time": "2022-09-30T12:13:09.254987",
          "exception": false,
          "start_time": "2022-09-30T12:13:08.862108",
          "status": "completed"
        },
        "scrolled": true,
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1440x576 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "with sns.axes_style('white'):\n",
        "    plt.figure(figsize= (20, 8))\n",
        "    sns.heatmap(data.corr(), annot = True, fmt = '.2f', linewidths= 0.8, cmap=\"YlGnBu\")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "670908b1",
      "metadata": {
        "id": "670908b1",
        "papermill": {
          "duration": 0.018423,
          "end_time": "2022-09-30T12:13:09.292729",
          "exception": false,
          "start_time": "2022-09-30T12:13:09.274306",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "- Almost all of these scores are highly correlated with each other\n",
        "- Maths score seems to be the least correlated among these, therefore we will try to predict maths score during modelling"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "id": "a51d5545",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 592
        },
        "id": "a51d5545",
        "outputId": "da849208-6658-4df1-963e-b830078c1836"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "ethnicity = data['race/ethnicity'].value_counts()\n",
        "fig, ax = plt.subplots(figsize=(20, 10), subplot_kw=dict(aspect=\"equal\"))\n",
        "\n",
        "names = ethnicity.index.tolist()\n",
        "values = ethnicity.values.tolist()\n",
        "\n",
        "cmap = plt.get_cmap(\"YlOrRd\")\n",
        "cmap = cmap.reversed()\n",
        "colors = cmap(np.linspace(0, 1, 5))\n",
        "\n",
        "ax.pie(values, labels = [i[0] + '\\n' + str(i[1]/10) + '%'  for i in zip(names,values)],colors = colors)\n",
        "circle = plt.Circle( (0,0), 0.8, color='#ffffe6')\n",
        "p=plt.gcf()\n",
        "p.gca().add_artist(circle)\n",
        "ax.set_title(\"Race/Ethnicity distribution\")\n",
        "plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "id": "007cdbb4",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 592
        },
        "id": "007cdbb4",
        "outputId": "a83a288a-052a-4187-a88b-6c6ad77b863d"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "parental_education = data['parental level of education'].value_counts()\n",
        "fig, ax = plt.subplots(figsize=(20, 10), subplot_kw=dict(aspect=\"equal\"))\n",
        "\n",
        "names = parental_education.index.tolist()\n",
        "values = parental_education.values.tolist()\n",
        "\n",
        "cmap = plt.get_cmap(\"YlOrRd\")\n",
        "cmap = cmap.reversed()\n",
        "colors = cmap(np.linspace(0, 1, 6))\n",
        "\n",
        "ax.pie(values, labels = [i[0] + '\\n' + str(i[1]/10) + '%'  for i in zip(names,values)],colors = colors)\n",
        "circle = plt.Circle( (0,0), 0.8, color='#ffffe6')\n",
        "p=plt.gcf()\n",
        "p.gca().add_artist(circle)\n",
        "ax.set_title(\"Parental Level Of Education\")\n",
        "plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "id": "cd1efa8d",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 704
        },
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:10.384399Z",
          "iopub.status.busy": "2022-09-30T12:13:10.383452Z",
          "iopub.status.idle": "2022-09-30T12:13:11.485810Z",
          "shell.execute_reply": "2022-09-30T12:13:11.484623Z"
        },
        "id": "cd1efa8d",
        "outputId": "a9419e10-d865-4a5f-d30b-cc8e4ab34215",
        "papermill": {
          "duration": 1.12667,
          "end_time": "2022-09-30T12:13:11.489358",
          "exception": false,
          "start_time": "2022-09-30T12:13:10.362688",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1800x864 with 6 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.rcParams['figure.facecolor'] = \"#ffffe6\"\n",
        "plt.rcParams['axes.facecolor'] = \"#ffffe6\"\n",
        "\n",
        "fig, ax = plt.subplots(2, 3, figsize = (25, 12))\n",
        "ax[1, 2].axis('off')\n",
        "\n",
        "sns.kdeplot(data = data, x = \"Percentage\", hue = \"gender\", palette = 'inferno', cumulative = True, common_norm = False, ax = ax[0, 0])\n",
        "sns.kdeplot(data = data, x = \"Percentage\", hue = \"race/ethnicity\", palette = 'inferno', cumulative = True, common_norm = False, ax = ax[0, 1])\n",
        "sns.kdeplot(data = data, x = \"Percentage\", hue = \"lunch\", palette = 'inferno', cumulative = True, common_norm = False, ax = ax[0, 2])\n",
        "sns.kdeplot(data = data, x = \"Percentage\", hue = \"parental level of education\", palette = 'inferno', cumulative = True, common_norm = False, ax = ax[1, 0])\n",
        "sns.kdeplot(data = data, x = \"Percentage\", hue = \"test preparation course\", palette = 'inferno', cumulative = True, common_norm = False, ax = ax[1, 1])\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "14ef976c",
      "metadata": {
        "id": "14ef976c",
        "papermill": {
          "duration": 0.02157,
          "end_time": "2022-09-30T12:13:11.533473",
          "exception": false,
          "start_time": "2022-09-30T12:13:11.511903",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "- Females have higher percentage than males\n",
        "- Students whose parents holds a master's degree have a higher percentage than others\n",
        "- Students who completed their course have higher percentage as compared to those who didn't."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "id": "4836a0cd",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 400
        },
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:11.579407Z",
          "iopub.status.busy": "2022-09-30T12:13:11.578981Z",
          "iopub.status.idle": "2022-09-30T12:13:12.230470Z",
          "shell.execute_reply": "2022-09-30T12:13:12.229491Z"
        },
        "id": "4836a0cd",
        "outputId": "1f2bfe9b-15ea-4632-eb66-bfbc6f5330dd",
        "papermill": {
          "duration": 0.677226,
          "end_time": "2022-09-30T12:13:12.232610",
          "exception": false,
          "start_time": "2022-09-30T12:13:11.555384",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize = (10, 6))\n",
        "sns.barplot(x = 'Grade', y = 'Percentage', data= data, hue= 'gender', palette= 'crest');"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "id": "4bd5b0fe",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        },
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:12.279973Z",
          "iopub.status.busy": "2022-09-30T12:13:12.279224Z",
          "iopub.status.idle": "2022-09-30T12:13:12.617666Z",
          "shell.execute_reply": "2022-09-30T12:13:12.616723Z"
        },
        "id": "4bd5b0fe",
        "outputId": "01b0a5e0-fb36-4494-b52a-85e333bbd0d6",
        "papermill": {
          "duration": 0.36501,
          "end_time": "2022-09-30T12:13:12.620045",
          "exception": false,
          "start_time": "2022-09-30T12:13:12.255035",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.set_palette(\"plasma\")\n",
        "data.groupby('parental level of education').agg('mean').sort_values(by = 'Percentage').plot(kind='barh',figsize=(15,10))\n",
        "plt.legend(bbox_to_anchor=(1.03, 1), loc = 2);"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "977843dd",
      "metadata": {
        "id": "977843dd",
        "papermill": {
          "duration": 0.022469,
          "end_time": "2022-09-30T12:13:12.665374",
          "exception": false,
          "start_time": "2022-09-30T12:13:12.642905",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "- Students whose parents never went to college seems to have the lowest percentage\n",
        "- Students whose parents have a master's degree performed the best followed by parents having a bachelor's degree"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "id": "5c14c78f",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        },
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:12.713439Z",
          "iopub.status.busy": "2022-09-30T12:13:12.712757Z",
          "iopub.status.idle": "2022-09-30T12:13:13.251018Z",
          "shell.execute_reply": "2022-09-30T12:13:13.249798Z"
        },
        "id": "5c14c78f",
        "outputId": "8e3bc5f3-7e09-4b4c-c048-338b390467e3",
        "papermill": {
          "duration": 0.565524,
          "end_time": "2022-09-30T12:13:13.253922",
          "exception": false,
          "start_time": "2022-09-30T12:13:12.688398",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.set_palette(\"crest\")\n",
        "data.groupby('race/ethnicity').agg('mean').sort_values(by = 'Percentage').plot(kind='barh',figsize=(15,10))\n",
        "plt.legend(bbox_to_anchor=(1.03, 1), loc = 2);"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "a0294cc0",
      "metadata": {
        "id": "a0294cc0",
        "papermill": {
          "duration": 0.022706,
          "end_time": "2022-09-30T12:13:13.300002",
          "exception": false,
          "start_time": "2022-09-30T12:13:13.277296",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "<div style='color: #216969;\n",
        "           background-color: #EAF6F6;\n",
        "           font-size: 200%;\n",
        "           border-radius:15px;\n",
        "           text-align:center;\n",
        "           font-weight:600;\n",
        "           border-style: solid;\n",
        "           border-color: dark green;\n",
        "           font-family: \"Cambria\";'>\n",
        "Transformation Pipeline"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "id": "9417a666",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:13.348796Z",
          "iopub.status.busy": "2022-09-30T12:13:13.347695Z",
          "iopub.status.idle": "2022-09-30T12:13:13.356974Z",
          "shell.execute_reply": "2022-09-30T12:13:13.356122Z"
        },
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          "exception": false,
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          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "class CustomOrdinalEncoder(BaseEstimator, TransformerMixin):\n",
        "    def __init__(self, grades_ordering = ['F', 'E', 'D', 'C', 'B', 'A', 'O'],\n",
        "                 ethnicity_ordering = ['group A', 'group B', 'group C', 'group D', 'group E'],\n",
        "                 parents_education_ordering = ['high school', 'some high school', 'some college', \"associate's degree\", \"bachelor's degree\", \"master's degree\"]):\n",
        "                 \n",
        "        self.grades_ordering = grades_ordering\n",
        "        self.ethnicity_ordering = ethnicity_ordering\n",
        "        self.parents_education_ordering = parents_education_ordering\n",
        "    \n",
        "    def fit(self, X, y=None):\n",
        "        return self  \n",
        "\n",
        "    def transform(self, X):\n",
        "        X[\"Grade\"] = X['Grade'].apply(lambda x: self.grades_ordering.index(x))\n",
        "        X[\"parental level of education\"] = X['parental level of education'].apply(lambda x: self.parents_education_ordering.index(x))\n",
        "        X[\"race/ethnicity\"] = X['race/ethnicity'].apply(lambda x: self.ethnicity_ordering.index(x))\n",
        "        return X\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "id": "bc2bd9cd",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:13.407504Z",
          "iopub.status.busy": "2022-09-30T12:13:13.406684Z",
          "iopub.status.idle": "2022-09-30T12:13:13.412416Z",
          "shell.execute_reply": "2022-09-30T12:13:13.411219Z"
        },
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          "exception": false,
          "start_time": "2022-09-30T12:13:13.382398",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "num_cols = ['reading score', 'writing score', 'Percentage']\n",
        "cat_cols = ['gender', 'lunch', 'test preparation course']\n",
        "ordinal_cols = ['Grade', 'race/ethnicity', 'parental level of education']\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 104,
      "id": "9355e26e",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:13.463224Z",
          "iopub.status.busy": "2022-09-30T12:13:13.462540Z",
          "iopub.status.idle": "2022-09-30T12:13:13.467350Z",
          "shell.execute_reply": "2022-09-30T12:13:13.466577Z"
        },
        "id": "9355e26e",
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          "duration": 0.031339,
          "end_time": "2022-09-30T12:13:13.469367",
          "exception": false,
          "start_time": "2022-09-30T12:13:13.438028",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "pipeline = ColumnTransformer([\n",
        "    ('std_scaler', StandardScaler(), num_cols),\n",
        "    ('ord_encode', CustomOrdinalEncoder(), ordinal_cols),\n",
        "    ('label_encode', OneHotEncoder(), cat_cols)], remainder= 'passthrough')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 105,
      "id": "2de1ca81",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:13.517743Z",
          "iopub.status.busy": "2022-09-30T12:13:13.517010Z",
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          "shell.execute_reply": "2022-09-30T12:13:13.523096Z"
        },
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          "duration": 0.033717,
          "end_time": "2022-09-30T12:13:13.526194",
          "exception": false,
          "start_time": "2022-09-30T12:13:13.492477",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "data['Percentage'] = round((data['reading score'] + data['writing score']) / 2, 2)\n",
        "data[\"Grade\"] = data['Percentage'].apply(lambda x: Grade(x))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 106,
      "id": "e9901dd4",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:13.575777Z",
          "iopub.status.busy": "2022-09-30T12:13:13.575075Z",
          "iopub.status.idle": "2022-09-30T12:13:13.582830Z",
          "shell.execute_reply": "2022-09-30T12:13:13.581989Z"
        },
        "id": "e9901dd4",
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          "duration": 0.035433,
          "end_time": "2022-09-30T12:13:13.585219",
          "exception": false,
          "start_time": "2022-09-30T12:13:13.549786",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "X = data.drop('math score', axis = 1)\n",
        "y = data['math score']\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size= 0.2, random_state= 42)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 108,
      "id": "7681abc3",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:13.634857Z",
          "iopub.status.busy": "2022-09-30T12:13:13.634229Z",
          "iopub.status.idle": "2022-09-30T12:13:13.658639Z",
          "shell.execute_reply": "2022-09-30T12:13:13.657770Z"
        },
        "id": "7681abc3",
        "papermill": {
          "duration": 0.052229,
          "end_time": "2022-09-30T12:13:13.661303",
          "exception": false,
          "start_time": "2022-09-30T12:13:13.609074",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "X_train_prepared = pipeline.fit_transform(X_train)\n",
        "X_test_prepared = pipeline.transform(X_test)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c2e6720f",
      "metadata": {
        "id": "c2e6720f",
        "papermill": {
          "duration": 0.0232,
          "end_time": "2022-09-30T12:13:13.709155",
          "exception": false,
          "start_time": "2022-09-30T12:13:13.685955",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "<div style='color: #216969;\n",
        "           background-color: #EAF6F6;\n",
        "           font-size: 200%;\n",
        "           border-radius:15px;\n",
        "           text-align:center;\n",
        "           font-weight:600;\n",
        "           border-style: solid;\n",
        "           border-color: dark green;\n",
        "           font-family: \"Cambria\";'>\n",
        "Random Forest"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ca74f531",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:13.757788Z",
          "iopub.status.busy": "2022-09-30T12:13:13.757168Z",
          "iopub.status.idle": "2022-09-30T12:13:15.423710Z",
          "shell.execute_reply": "2022-09-30T12:13:15.422554Z"
        },
        "id": "ca74f531",
        "outputId": "6764e85b-2b1e-484e-860c-2345a7a617a7",
        "papermill": {
          "duration": 1.694057,
          "end_time": "2022-09-30T12:13:15.426391",
          "exception": false,
          "start_time": "2022-09-30T12:13:13.732334",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Mean: 6.042128125543862\n",
            "Standard deviation: 0.18077648360495044\n"
          ]
        }
      ],
      "source": [
        "model = RandomForestRegressor(random_state = 42)\n",
        "model.fit(X_train_prepared, y_train)\n",
        "\n",
        "kfold = KFold(n_splits= 5)\n",
        "scores =  - cross_val_score(model, X_train_prepared, y_train, scoring=\"neg_mean_squared_error\", cv=kfold)\n",
        "rmse_scores = np.sqrt(scores)\n",
        "\n",
        "print(f\"Mean: {rmse_scores.mean()}\", )\n",
        "print(f\"Standard deviation: {rmse_scores.std()}\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "5ef9ac9e",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:15.476953Z",
          "iopub.status.busy": "2022-09-30T12:13:15.475900Z",
          "iopub.status.idle": "2022-09-30T12:13:15.496564Z",
          "shell.execute_reply": "2022-09-30T12:13:15.495265Z"
        },
        "id": "5ef9ac9e",
        "papermill": {
          "duration": 0.048813,
          "end_time": "2022-09-30T12:13:15.499315",
          "exception": false,
          "start_time": "2022-09-30T12:13:15.450502",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "y_pred = model.predict(X_test_prepared)\n",
        "rmse = mean_squared_error(y_test, y_pred, squared= False)\n",
        "r_square = r2_score(y_test, y_pred)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c2859e5d",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:15.548121Z",
          "iopub.status.busy": "2022-09-30T12:13:15.547315Z",
          "iopub.status.idle": "2022-09-30T12:13:15.553364Z",
          "shell.execute_reply": "2022-09-30T12:13:15.552234Z"
        },
        "id": "c2859e5d",
        "outputId": "36d25b92-8f87-4ffd-a472-355cc37b1abe",
        "papermill": {
          "duration": 0.033357,
          "end_time": "2022-09-30T12:13:15.556342",
          "exception": false,
          "start_time": "2022-09-30T12:13:15.522985",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Root Mean Squared error: 6.141\n",
            "R-square: 0.845\n"
          ]
        }
      ],
      "source": [
        "print(f'Root Mean Squared error: {round(rmse, 3)}')\n",
        "print(f'R-square: {round(r_square, 3)}')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "22144068",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:15.605740Z",
          "iopub.status.busy": "2022-09-30T12:13:15.605350Z",
          "iopub.status.idle": "2022-09-30T12:13:15.811141Z",
          "shell.execute_reply": "2022-09-30T12:13:15.810248Z"
        },
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        "papermill": {
          "duration": 0.233005,
          "end_time": "2022-09-30T12:13:15.813432",
          "exception": false,
          "start_time": "2022-09-30T12:13:15.580427",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.set_context('notebook', font_scale= 1.3)\n",
        "plt.figure(figsize= (10, 6))\n",
        "sns.scatterplot(x= y_test, y= y_pred, color= '#005b96')\n",
        "plt.xlabel('Actual')\n",
        "plt.ylabel('Predicted')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "985ba6f6",
      "metadata": {
        "id": "985ba6f6",
        "papermill": {
          "duration": 0.023733,
          "end_time": "2022-09-30T12:13:15.861946",
          "exception": false,
          "start_time": "2022-09-30T12:13:15.838213",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "<div style='color: #216969;\n",
        "           background-color: #EAF6F6;\n",
        "           font-size: 200%;\n",
        "           border-radius:15px;\n",
        "           text-align:center;\n",
        "           font-weight:600;\n",
        "           border-style: solid;\n",
        "           border-color: dark green;\n",
        "           font-family: \"Cambria\";'>\n",
        "Hyperparameter Optimization"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "004b5298",
      "metadata": {
        "id": "004b5298",
        "papermill": {
          "duration": 0.023542,
          "end_time": "2022-09-30T12:13:15.909336",
          "exception": false,
          "start_time": "2022-09-30T12:13:15.885794",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "### **GridSearchCV**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "9b200721",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:15.959293Z",
          "iopub.status.busy": "2022-09-30T12:13:15.958693Z",
          "iopub.status.idle": "2022-09-30T12:13:31.305364Z",
          "shell.execute_reply": "2022-09-30T12:13:31.304109Z"
        },
        "id": "9b200721",
        "outputId": "8d8d45de-f8c4-4d59-b1fa-44451ec025c5",
        "papermill": {
          "duration": 15.374624,
          "end_time": "2022-09-30T12:13:31.307903",
          "exception": false,
          "start_time": "2022-09-30T12:13:15.933279",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "GridSearchCV(cv=KFold(n_splits=5, random_state=None, shuffle=False),\n",
              "             estimator=RandomForestRegressor(random_state=42),\n",
              "             param_grid=[{'max_features': [8, 16, 24],\n",
              "                          'n_estimators': [100, 250, 400]},\n",
              "                         {'bootstrap': [False], 'max_features': [15, 30],\n",
              "                          'n_estimators': [200, 400]}],\n",
              "             return_train_score=True, scoring='neg_mean_squared_error')"
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "params = [\n",
        "    {'n_estimators': [100, 250, 400], 'max_features': [8, 16, 24]},\n",
        "    {'bootstrap': [False], 'n_estimators': [200, 400], 'max_features': [15, 30]},\n",
        "  ]\n",
        "\n",
        "model = RandomForestRegressor(random_state=42)\n",
        "grid_search = GridSearchCV(model, params, cv = kfold,\n",
        "                           scoring='neg_mean_squared_error',\n",
        "                           return_train_score=True)\n",
        "\n",
        "grid_search.fit(X_train_prepared, y_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "3e31e10a",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:31.359513Z",
          "iopub.status.busy": "2022-09-30T12:13:31.358975Z",
          "iopub.status.idle": "2022-09-30T12:13:31.364853Z",
          "shell.execute_reply": "2022-09-30T12:13:31.363779Z"
        },
        "id": "3e31e10a",
        "outputId": "46b6045f-1b6e-43fe-acc1-1169a5742eef",
        "papermill": {
          "duration": 0.034947,
          "end_time": "2022-09-30T12:13:31.367998",
          "exception": false,
          "start_time": "2022-09-30T12:13:31.333051",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "RMSE: 5.95\n"
          ]
        }
      ],
      "source": [
        "mean_rmse_grid_search = np.sqrt( - grid_search.best_score_)\n",
        "print(f'RMSE: {round(mean_rmse_grid_search, 2)}')"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "3274283d",
      "metadata": {
        "id": "3274283d",
        "papermill": {
          "duration": 0.024072,
          "end_time": "2022-09-30T12:13:31.417502",
          "exception": false,
          "start_time": "2022-09-30T12:13:31.393430",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "### **RandomizedSearchCV**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "668bd4b4",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:31.468063Z",
          "iopub.status.busy": "2022-09-30T12:13:31.467650Z",
          "iopub.status.idle": "2022-09-30T12:13:53.602904Z",
          "shell.execute_reply": "2022-09-30T12:13:53.601763Z"
        },
        "id": "668bd4b4",
        "outputId": "e28a73e2-1e8a-4d15-991d-660e2d2471ac",
        "papermill": {
          "duration": 22.163235,
          "end_time": "2022-09-30T12:13:53.605107",
          "exception": false,
          "start_time": "2022-09-30T12:13:31.441872",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "RandomizedSearchCV(cv=KFold(n_splits=5, random_state=None, shuffle=False),\n",
              "                   estimator=RandomForestRegressor(random_state=42),\n",
              "                   param_distributions={'max_features': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001B98B490FD0>,\n",
              "                                        'n_estimators': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001B98B3683D0>},\n",
              "                   random_state=42, scoring='neg_mean_squared_error')"
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from sklearn.model_selection import RandomizedSearchCV\n",
        "from scipy.stats import randint\n",
        "\n",
        "params = {\n",
        "        'n_estimators': randint(low= 200, high=500),\n",
        "        'max_features': randint(low=10, high=50),\n",
        "    }\n",
        "\n",
        "model = RandomForestRegressor(random_state=42)\n",
        "random_search = RandomizedSearchCV(model, params,\n",
        "                                   n_iter = 10, cv = kfold, scoring='neg_mean_squared_error', random_state=42)\n",
        "\n",
        "random_search.fit(X_train_prepared, y_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c7244298",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:53.655792Z",
          "iopub.status.busy": "2022-09-30T12:13:53.655129Z",
          "iopub.status.idle": "2022-09-30T12:13:53.661512Z",
          "shell.execute_reply": "2022-09-30T12:13:53.660315Z"
        },
        "id": "c7244298",
        "outputId": "b9004ed1-8550-49df-9de6-f72ddbe2611e",
        "papermill": {
          "duration": 0.034256,
          "end_time": "2022-09-30T12:13:53.663592",
          "exception": false,
          "start_time": "2022-09-30T12:13:53.629336",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "RMSE: 6.0\n"
          ]
        }
      ],
      "source": [
        "mean_rmse_random_search = np.sqrt( - random_search.best_score_)\n",
        "print(f'RMSE: {round(mean_rmse_random_search, 2)}')"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c0879454",
      "metadata": {
        "id": "c0879454",
        "papermill": {
          "duration": 0.023952,
          "end_time": "2022-09-30T12:13:53.712244",
          "exception": false,
          "start_time": "2022-09-30T12:13:53.688292",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "### **Optuna**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a17b0aa0",
      "metadata": {
        "_kg_hide-output": false,
        "execution": {
          "iopub.execute_input": "2022-09-30T12:13:53.763431Z",
          "iopub.status.busy": "2022-09-30T12:13:53.762674Z",
          "iopub.status.idle": "2022-09-30T12:14:59.226065Z",
          "shell.execute_reply": "2022-09-30T12:14:59.224893Z"
        },
        "id": "a17b0aa0",
        "outputId": "5d99c92b-45c1-42a4-e546-74d8a38b42fe",
        "papermill": {
          "duration": 65.491194,
          "end_time": "2022-09-30T12:14:59.228386",
          "exception": false,
          "start_time": "2022-09-30T12:13:53.737192",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\u001b[32m[I 2022-10-02 17:09:18,546]\u001b[0m A new study created in memory with name: no-name-30ce6f43-db1b-4456-9f53-6f51317bb7bf\u001b[0m\n",
            "\u001b[32m[I 2022-10-02 17:09:19,030]\u001b[0m Trial 0 finished with value: 6.028940375103782 and parameters: {'n_estimators': 52, 'max_depth': 48, 'bootstrap': 'True'}. Best is trial 0 with value: 6.028940375103782.\u001b[0m\n",
            "\u001b[32m[I 2022-10-02 17:09:21,634]\u001b[0m Trial 1 finished with value: 6.0233666691887455 and parameters: {'n_estimators': 309, 'max_depth': 13, 'bootstrap': 'False'}. Best is trial 1 with value: 6.0233666691887455.\u001b[0m\n",
            "\u001b[32m[I 2022-10-02 17:09:23,871]\u001b[0m Trial 2 finished with value: 5.991719671336173 and parameters: {'n_estimators': 266, 'max_depth': 37, 'bootstrap': 'False'}. Best is trial 2 with value: 5.991719671336173.\u001b[0m\n",
            "\u001b[32m[I 2022-10-02 17:09:28,110]\u001b[0m Trial 3 finished with value: 6.0089404456780136 and parameters: {'n_estimators': 482, 'max_depth': 41, 'bootstrap': 'True'}. Best is trial 2 with value: 5.991719671336173.\u001b[0m\n",
            "\u001b[32m[I 2022-10-02 17:09:30,966]\u001b[0m Trial 4 finished with value: 6.006094355177872 and parameters: {'n_estimators': 313, 'max_depth': 10, 'bootstrap': 'False'}. Best is trial 2 with value: 5.991719671336173.\u001b[0m\n",
            "\u001b[32m[I 2022-10-02 17:09:32,866]\u001b[0m Trial 5 finished with value: 6.0070376187778685 and parameters: {'n_estimators': 209, 'max_depth': 49, 'bootstrap': 'False'}. Best is trial 2 with value: 5.991719671336173.\u001b[0m\n",
            "\u001b[32m[I 2022-10-02 17:09:34,255]\u001b[0m Trial 6 finished with value: 5.985811261905143 and parameters: {'n_estimators': 149, 'max_depth': 24, 'bootstrap': 'True'}. Best is trial 6 with value: 5.985811261905143.\u001b[0m\n",
            "\u001b[32m[I 2022-10-02 17:09:38,026]\u001b[0m Trial 7 finished with value: 6.021003956559918 and parameters: {'n_estimators': 410, 'max_depth': 11, 'bootstrap': 'True'}. Best is trial 6 with value: 5.985811261905143.\u001b[0m\n",
            "\u001b[32m[I 2022-10-02 17:09:40,060]\u001b[0m Trial 8 finished with value: 6.068232585675134 and parameters: {'n_estimators': 327, 'max_depth': 5, 'bootstrap': 'True'}. Best is trial 6 with value: 5.985811261905143.\u001b[0m\n",
            "\u001b[32m[I 2022-10-02 17:09:41,450]\u001b[0m Trial 9 finished with value: 6.023527763021265 and parameters: {'n_estimators': 149, 'max_depth': 31, 'bootstrap': 'True'}. Best is trial 6 with value: 5.985811261905143.\u001b[0m\n"
          ]
        }
      ],
      "source": [
        "def random_forest_objective(trial):\n",
        "    n_estimators = trial.suggest_int('n_estimators', 50, 600)\n",
        "    max_depth = trial.suggest_int('max_depth', 5, 50)\n",
        "    bootstrap = trial.suggest_categorical('bootstrap', ['True', 'False'])\n",
        "\n",
        "    model = RandomForestRegressor(\n",
        "        n_estimators= n_estimators,\n",
        "        max_depth= max_depth,\n",
        "        bootstrap= bootstrap\n",
        "    )\n",
        "\n",
        "    model.fit(X_train_prepared, y_train)\n",
        "    cv_score = - cross_val_score(model, X_train_prepared, y_train, scoring= 'neg_mean_squared_error', cv= kfold)\n",
        "\n",
        "    return np.sqrt(np.mean(cv_score))\n",
        "\n",
        "study = optuna.create_study(direction= 'minimize')\n",
        "study.optimize(random_forest_objective, n_trials= 10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "434c3165",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:14:59.280876Z",
          "iopub.status.busy": "2022-09-30T12:14:59.279913Z",
          "iopub.status.idle": "2022-09-30T12:14:59.285713Z",
          "shell.execute_reply": "2022-09-30T12:14:59.284598Z"
        },
        "id": "434c3165",
        "outputId": "c004359e-edd4-4c70-8ea7-7723baeaa9e2",
        "papermill": {
          "duration": 0.034255,
          "end_time": "2022-09-30T12:14:59.287781",
          "exception": false,
          "start_time": "2022-09-30T12:14:59.253526",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "RMSE: 5.99\n"
          ]
        }
      ],
      "source": [
        "trial = study.best_trial\n",
        "print(f'RMSE: {round(trial.value, 2)}')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "b6d3639f",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:14:59.339633Z",
          "iopub.status.busy": "2022-09-30T12:14:59.339234Z",
          "iopub.status.idle": "2022-09-30T12:14:59.344125Z",
          "shell.execute_reply": "2022-09-30T12:14:59.343099Z"
        },
        "id": "b6d3639f",
        "papermill": {
          "duration": 0.03314,
          "end_time": "2022-09-30T12:14:59.346114",
          "exception": false,
          "start_time": "2022-09-30T12:14:59.312974",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "params = {\n",
        "    'n_estimators': 69,\n",
        "    'max_depth': 21,\n",
        "    'bootstrap': 'True'\n",
        "}"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "55d63d78",
      "metadata": {
        "id": "55d63d78",
        "papermill": {
          "duration": 0.024731,
          "end_time": "2022-09-30T12:14:59.395753",
          "exception": false,
          "start_time": "2022-09-30T12:14:59.371022",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "<div style='color: #216969;\n",
        "           background-color: #EAF6F6;\n",
        "           font-size: 200%;\n",
        "           border-radius:15px;\n",
        "           text-align:center;\n",
        "           font-weight:600;\n",
        "           border-style: solid;\n",
        "           border-color: dark green;\n",
        "           font-family: \"Cambria\";'>\n",
        "Final Predictions "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "69f5b02d",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:14:59.448098Z",
          "iopub.status.busy": "2022-09-30T12:14:59.446931Z",
          "iopub.status.idle": "2022-09-30T12:14:59.664483Z",
          "shell.execute_reply": "2022-09-30T12:14:59.663337Z"
        },
        "id": "69f5b02d",
        "papermill": {
          "duration": 0.246507,
          "end_time": "2022-09-30T12:14:59.667320",
          "exception": false,
          "start_time": "2022-09-30T12:14:59.420813",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "final_model = RandomForestRegressor(**params)\n",
        "final_model.fit(X_train_prepared, y_train)\n",
        "final_predictions = final_model.predict(X_test_prepared)\n",
        "\n",
        "final_rmse = mean_squared_error(y_test, final_predictions, squared= False)\n",
        "final_rsquare = r2_score(y_test, final_predictions)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "bb981815",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:14:59.719710Z",
          "iopub.status.busy": "2022-09-30T12:14:59.719304Z",
          "iopub.status.idle": "2022-09-30T12:14:59.724893Z",
          "shell.execute_reply": "2022-09-30T12:14:59.723628Z"
        },
        "id": "bb981815",
        "outputId": "8239b6b0-b011-402c-ad91-6ad31300ff4e",
        "papermill": {
          "duration": 0.0347,
          "end_time": "2022-09-30T12:14:59.727129",
          "exception": false,
          "start_time": "2022-09-30T12:14:59.692429",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "RMSE: 6.306\n",
            "R-square: 0.837\n"
          ]
        }
      ],
      "source": [
        "print(f'RMSE: {round(final_rmse, 3)}')\n",
        "print(f'R-square: {round(final_rsquare, 3)}')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "02f96233",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:14:59.779039Z",
          "iopub.status.busy": "2022-09-30T12:14:59.778612Z",
          "iopub.status.idle": "2022-09-30T12:15:00.072046Z",
          "shell.execute_reply": "2022-09-30T12:15:00.070905Z"
        },
        "id": "02f96233",
        "outputId": "e001dfe1-a0c3-44b0-f93b-a8385388cdd6",
        "papermill": {
          "duration": 0.322502,
          "end_time": "2022-09-30T12:15:00.074674",
          "exception": false,
          "start_time": "2022-09-30T12:14:59.752172",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.set_context('notebook', font_scale= 1.3)\n",
        "plt.figure(figsize= (10, 6))\n",
        "sns.regplot(x= y_test, y= final_predictions, scatter_kws = {'s': 20, 'color': '#005b96', 'alpha': 0.7}, \n",
        "            line_kws = {'linewidth': 2, 'color': 'teal'})\n",
        "plt.xlabel('Actual')\n",
        "plt.ylabel('Predicted')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "53fc5e90",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2022-09-30T12:15:00.128612Z",
          "iopub.status.busy": "2022-09-30T12:15:00.127892Z",
          "iopub.status.idle": "2022-09-30T12:15:00.381927Z",
          "shell.execute_reply": "2022-09-30T12:15:00.380612Z"
        },
        "id": "53fc5e90",
        "outputId": "4436091d-8964-49ae-dfbf-e6ce01b8d7aa",
        "papermill": {
          "duration": 0.284138,
          "end_time": "2022-09-30T12:15:00.384891",
          "exception": false,
          "start_time": "2022-09-30T12:15:00.100753",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Distribution of error\n",
        "sns.set_context('notebook', font_scale= 1.3)\n",
        "plt.figure(figsize= (10, 6))\n",
        "sns.histplot(y_test - final_predictions, color = 'teal', kde= True)\n",
        "plt.xlabel('Residual');"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "nDmiufurr4AG",
      "metadata": {
        "id": "nDmiufurr4AG"
      },
      "source": [
        "#RNN (Bi-LSTM)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 200,
      "id": "4-6fkjqVz7wx",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4-6fkjqVz7wx",
        "outputId": "79e89c47-b0fb-4a80-e082-b6edf3671828"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "(999, 1, 12) (999,)\n"
          ]
        }
      ],
      "source": [
        "def split_data(x, y, time_steps=1):\n",
        "    xs, ys = [], []\n",
        "    for i in range(len(x) - time_steps):\n",
        "        v = x[i:(i + time_steps)]\n",
        "        xs.append(v)\n",
        "        ys.append(y.iloc[i + time_steps])\n",
        "    return np.array(xs), np.array(ys)\n",
        "\n",
        "X_F = pipeline.fit_transform(X)\n",
        "x_train_prepared, y_train = split_data(X_F, y, 1)\n",
        "x_test_prepared, y_test = split_data(X_F, y, 1)\n",
        "\n",
        "X_train_final = np.asarray(x_train_prepared).astype('float32')\n",
        "print(X_train_final.shape, y_train.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 235,
      "id": "fUBzemIhBE_h",
      "metadata": {
        "id": "fUBzemIhBE_h"
      },
      "outputs": [],
      "source": [
        "model = tf.keras.models.Sequential([\n",
        "  tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(64, return_sequences=True, input_shape=(x_train_prepared.shape[1], x_train_prepared.shape[-1]))),\n",
        "  tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(20, return_sequences=False)),\n",
        "  tf.keras.layers.Dense(1),\n",
        "])"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "6hKz--eBAwah",
      "metadata": {
        "id": "6hKz--eBAwah"
      },
      "source": [
        "### Compile & Training"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 236,
      "id": "GFiG0gm1hGXy",
      "metadata": {
        "id": "GFiG0gm1hGXy"
      },
      "outputs": [],
      "source": [
        "optimizer = tf.keras.optimizers.SGD(learning_rate=0.1, momentum=0.9)\n",
        "model.compile(loss=tf.keras.losses.Huber(),\n",
        "              optimizer=optimizer,\n",
        "              metrics=['mae'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 237,
      "id": "ZCYHV2Tl9e5K",
      "metadata": {
        "id": "ZCYHV2Tl9e5K"
      },
      "outputs": [],
      "source": [
        "class my_allback(tf.keras.callbacks.Callback):\n",
        "    def on_epoch_end(self, epoch, logs={}):\n",
        "        if(logs.get('mae') < 0.1):\n",
        "            print(\"MAE below 10%\")\n",
        "\n",
        "    def on_train_end(self, epoch, logs={}):\n",
        "        print('Done')\n",
        "\n",
        "callbacks = my_allback()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 238,
      "id": "2rhJL5cCA84j",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2rhJL5cCA84j",
        "outputId": "9911c96e-6948-426a-c659-a73545a1219b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/100\n",
            "25/25 [==============================] - 10s 79ms/step - loss: 45.5416 - mae: 46.0375 - val_loss: 22.3602 - val_mae: 22.8548\n",
            "Epoch 2/100\n",
            "25/25 [==============================] - 0s 6ms/step - loss: 14.4938 - mae: 14.9856 - val_loss: 12.1369 - val_mae: 12.6296\n",
            "Epoch 3/100\n",
            "25/25 [==============================] - 0s 6ms/step - loss: 11.8029 - mae: 12.2924 - val_loss: 12.5188 - val_mae: 13.0083\n",
            "Epoch 4/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5248 - mae: 12.0155 - val_loss: 12.0274 - val_mae: 12.5179\n",
            "Epoch 5/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5285 - mae: 12.0216 - val_loss: 11.9772 - val_mae: 12.4697\n",
            "Epoch 6/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5409 - mae: 12.0333 - val_loss: 12.0305 - val_mae: 12.5206\n",
            "Epoch 7/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6580 - mae: 12.1506 - val_loss: 12.0210 - val_mae: 12.5125\n",
            "Epoch 8/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5884 - mae: 12.0774 - val_loss: 12.0271 - val_mae: 12.5169\n",
            "Epoch 9/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5372 - mae: 12.0274 - val_loss: 12.3071 - val_mae: 12.7993\n",
            "Epoch 10/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6408 - mae: 12.1348 - val_loss: 11.9533 - val_mae: 12.4441\n",
            "Epoch 11/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4993 - mae: 11.9916 - val_loss: 11.9257 - val_mae: 12.4203\n",
            "Epoch 12/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5279 - mae: 12.0195 - val_loss: 11.9159 - val_mae: 12.4104\n",
            "Epoch 13/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6959 - mae: 12.1865 - val_loss: 12.1241 - val_mae: 12.6178\n",
            "Epoch 14/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.7010 - mae: 12.1930 - val_loss: 12.1055 - val_mae: 12.5969\n",
            "Epoch 15/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.7011 - mae: 12.1907 - val_loss: 11.9783 - val_mae: 12.4709\n",
            "Epoch 16/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5369 - mae: 12.0297 - val_loss: 11.9167 - val_mae: 12.4104\n",
            "Epoch 17/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5493 - mae: 12.0413 - val_loss: 11.9538 - val_mae: 12.4394\n",
            "Epoch 18/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6493 - mae: 12.1405 - val_loss: 12.2024 - val_mae: 12.6964\n",
            "Epoch 19/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5728 - mae: 12.0612 - val_loss: 12.3227 - val_mae: 12.8020\n",
            "Epoch 20/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5693 - mae: 12.0582 - val_loss: 11.9143 - val_mae: 12.4104\n",
            "Epoch 21/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5172 - mae: 12.0090 - val_loss: 12.0410 - val_mae: 12.5327\n",
            "Epoch 22/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5758 - mae: 12.0684 - val_loss: 11.9421 - val_mae: 12.4334\n",
            "Epoch 23/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5010 - mae: 11.9900 - val_loss: 12.1944 - val_mae: 12.6872\n",
            "Epoch 24/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6820 - mae: 12.1752 - val_loss: 11.9196 - val_mae: 12.4157\n",
            "Epoch 25/100\n",
            "25/25 [==============================] - 0s 6ms/step - loss: 11.4820 - mae: 11.9732 - val_loss: 11.9202 - val_mae: 12.4162\n",
            "Epoch 26/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5127 - mae: 12.0036 - val_loss: 11.9217 - val_mae: 12.4175\n",
            "Epoch 27/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6247 - mae: 12.1178 - val_loss: 11.9372 - val_mae: 12.4279\n",
            "Epoch 28/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5718 - mae: 12.0629 - val_loss: 11.9651 - val_mae: 12.4551\n",
            "Epoch 29/100\n",
            "25/25 [==============================] - 0s 8ms/step - loss: 11.5271 - mae: 12.0193 - val_loss: 11.9269 - val_mae: 12.4209\n",
            "Epoch 30/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5157 - mae: 12.0065 - val_loss: 11.9546 - val_mae: 12.4407\n",
            "Epoch 31/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5719 - mae: 12.0598 - val_loss: 11.9144 - val_mae: 12.4104\n",
            "Epoch 32/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5033 - mae: 11.9935 - val_loss: 12.0197 - val_mae: 12.5115\n",
            "Epoch 33/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4907 - mae: 11.9804 - val_loss: 11.9202 - val_mae: 12.4104\n",
            "Epoch 34/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5337 - mae: 12.0250 - val_loss: 11.9226 - val_mae: 12.4181\n",
            "Epoch 35/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5477 - mae: 12.0398 - val_loss: 11.9592 - val_mae: 12.4472\n",
            "Epoch 36/100\n",
            "25/25 [==============================] - 0s 6ms/step - loss: 11.5108 - mae: 12.0034 - val_loss: 11.9768 - val_mae: 12.4693\n",
            "Epoch 37/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5798 - mae: 12.0719 - val_loss: 12.0329 - val_mae: 12.5238\n",
            "Epoch 38/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6360 - mae: 12.1306 - val_loss: 12.0224 - val_mae: 12.5138\n",
            "Epoch 39/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5248 - mae: 12.0129 - val_loss: 11.9375 - val_mae: 12.4263\n",
            "Epoch 40/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5772 - mae: 12.0702 - val_loss: 11.9352 - val_mae: 12.4252\n",
            "Epoch 41/100\n",
            "25/25 [==============================] - 0s 6ms/step - loss: 11.5627 - mae: 12.0530 - val_loss: 11.9630 - val_mae: 12.4520\n",
            "Epoch 42/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6371 - mae: 12.1289 - val_loss: 11.9387 - val_mae: 12.4268\n",
            "Epoch 43/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4926 - mae: 11.9837 - val_loss: 12.1599 - val_mae: 12.6500\n",
            "Epoch 44/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6455 - mae: 12.1384 - val_loss: 12.2855 - val_mae: 12.7792\n",
            "Epoch 45/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.9178 - mae: 12.4099 - val_loss: 11.9144 - val_mae: 12.4104\n",
            "Epoch 46/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.8293 - mae: 12.3220 - val_loss: 11.9301 - val_mae: 12.4227\n",
            "Epoch 47/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6015 - mae: 12.0948 - val_loss: 12.0889 - val_mae: 12.5839\n",
            "Epoch 48/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.7040 - mae: 12.1957 - val_loss: 11.9465 - val_mae: 12.4379\n",
            "Epoch 49/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.9129 - mae: 12.4056 - val_loss: 11.9667 - val_mae: 12.4548\n",
            "Epoch 50/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5603 - mae: 12.0536 - val_loss: 11.9263 - val_mae: 12.4205\n",
            "Epoch 51/100\n",
            "25/25 [==============================] - 0s 8ms/step - loss: 11.5229 - mae: 12.0138 - val_loss: 11.9797 - val_mae: 12.4725\n",
            "Epoch 52/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5252 - mae: 12.0174 - val_loss: 11.9149 - val_mae: 12.4104\n",
            "Epoch 53/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5879 - mae: 12.0750 - val_loss: 11.9245 - val_mae: 12.4104\n",
            "Epoch 54/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6430 - mae: 12.1348 - val_loss: 11.9412 - val_mae: 12.4278\n",
            "Epoch 55/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5750 - mae: 12.0662 - val_loss: 12.4127 - val_mae: 12.9076\n",
            "Epoch 56/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5343 - mae: 12.0276 - val_loss: 11.9345 - val_mae: 12.4247\n",
            "Epoch 57/100\n",
            "25/25 [==============================] - 0s 8ms/step - loss: 11.5009 - mae: 11.9925 - val_loss: 12.0564 - val_mae: 12.5498\n",
            "Epoch 58/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5371 - mae: 12.0286 - val_loss: 11.9231 - val_mae: 12.4104\n",
            "Epoch 59/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4692 - mae: 11.9574 - val_loss: 11.9249 - val_mae: 12.4104\n",
            "Epoch 60/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5786 - mae: 12.0706 - val_loss: 11.9696 - val_mae: 12.4609\n",
            "Epoch 61/100\n",
            "25/25 [==============================] - 0s 8ms/step - loss: 11.4615 - mae: 11.9519 - val_loss: 12.0041 - val_mae: 12.4888\n",
            "Epoch 62/100\n",
            "25/25 [==============================] - 0s 8ms/step - loss: 11.5831 - mae: 12.0736 - val_loss: 11.9162 - val_mae: 12.4104\n",
            "Epoch 63/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4965 - mae: 11.9869 - val_loss: 11.9160 - val_mae: 12.4104\n",
            "Epoch 64/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5097 - mae: 12.0008 - val_loss: 12.5355 - val_mae: 13.0260\n",
            "Epoch 65/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5425 - mae: 12.0309 - val_loss: 11.9213 - val_mae: 12.4104\n",
            "Epoch 66/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5229 - mae: 12.0155 - val_loss: 11.9822 - val_mae: 12.4654\n",
            "Epoch 67/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4274 - mae: 11.9216 - val_loss: 12.0780 - val_mae: 12.5728\n",
            "Epoch 68/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4628 - mae: 11.9527 - val_loss: 11.9153 - val_mae: 12.4106\n",
            "Epoch 69/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5458 - mae: 12.0380 - val_loss: 11.9378 - val_mae: 12.4264\n",
            "Epoch 70/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5543 - mae: 12.0467 - val_loss: 12.2697 - val_mae: 12.7642\n",
            "Epoch 71/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5259 - mae: 12.0184 - val_loss: 12.0636 - val_mae: 12.5577\n",
            "Epoch 72/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.7058 - mae: 12.1977 - val_loss: 11.9755 - val_mae: 12.4611\n",
            "Epoch 73/100\n",
            "25/25 [==============================] - 0s 8ms/step - loss: 11.5605 - mae: 12.0510 - val_loss: 11.9375 - val_mae: 12.4284\n",
            "Epoch 74/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6269 - mae: 12.1158 - val_loss: 12.1281 - val_mae: 12.6217\n",
            "Epoch 75/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5760 - mae: 12.0653 - val_loss: 12.0035 - val_mae: 12.4970\n",
            "Epoch 76/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4930 - mae: 11.9819 - val_loss: 11.9181 - val_mae: 12.4139\n",
            "Epoch 77/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5567 - mae: 12.0479 - val_loss: 11.9145 - val_mae: 12.4104\n",
            "Epoch 78/100\n",
            "25/25 [==============================] - 0s 8ms/step - loss: 11.5170 - mae: 12.0073 - val_loss: 12.0163 - val_mae: 12.5088\n",
            "Epoch 79/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4734 - mae: 11.9652 - val_loss: 11.9174 - val_mae: 12.4108\n",
            "Epoch 80/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.8126 - mae: 12.3057 - val_loss: 12.9759 - val_mae: 13.4715\n",
            "Epoch 81/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6996 - mae: 12.1896 - val_loss: 12.0360 - val_mae: 12.5268\n",
            "Epoch 82/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6737 - mae: 12.1648 - val_loss: 12.0089 - val_mae: 12.5020\n",
            "Epoch 83/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4900 - mae: 11.9820 - val_loss: 11.9339 - val_mae: 12.4241\n",
            "Epoch 84/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5078 - mae: 12.0001 - val_loss: 11.9207 - val_mae: 12.4104\n",
            "Epoch 85/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5534 - mae: 12.0442 - val_loss: 12.0640 - val_mae: 12.5578\n",
            "Epoch 86/100\n",
            "25/25 [==============================] - 0s 8ms/step - loss: 11.5013 - mae: 11.9947 - val_loss: 12.0115 - val_mae: 12.5045\n",
            "Epoch 87/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5684 - mae: 12.0584 - val_loss: 12.2265 - val_mae: 12.7205\n",
            "Epoch 88/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5381 - mae: 12.0269 - val_loss: 12.0582 - val_mae: 12.5512\n",
            "Epoch 89/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6011 - mae: 12.0933 - val_loss: 11.9153 - val_mae: 12.4102\n",
            "Epoch 90/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6000 - mae: 12.0926 - val_loss: 12.4647 - val_mae: 12.9585\n",
            "Epoch 91/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.8885 - mae: 12.3795 - val_loss: 12.0259 - val_mae: 12.5161\n",
            "Epoch 92/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4775 - mae: 11.9680 - val_loss: 12.0286 - val_mae: 12.5200\n",
            "Epoch 93/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4245 - mae: 11.9138 - val_loss: 12.4091 - val_mae: 12.9009\n",
            "Epoch 94/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6442 - mae: 12.1347 - val_loss: 11.9210 - val_mae: 12.4165\n",
            "Epoch 95/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.4754 - mae: 11.9675 - val_loss: 12.0035 - val_mae: 12.4952\n",
            "Epoch 96/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.6430 - mae: 12.1329 - val_loss: 12.3611 - val_mae: 12.8546\n",
            "Epoch 97/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5713 - mae: 12.0622 - val_loss: 12.0158 - val_mae: 12.5035\n",
            "Epoch 98/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5157 - mae: 12.0050 - val_loss: 11.9251 - val_mae: 12.4127\n",
            "Epoch 99/100\n",
            "25/25 [==============================] - 0s 7ms/step - loss: 11.5050 - mae: 11.9959 - val_loss: 11.9253 - val_mae: 12.4104\n",
            "Epoch 100/100\n",
            "25/25 [==============================] - 0s 14ms/step - loss: 11.6146 - mae: 12.1013 - val_loss: 12.0673 - val_mae: 12.5600\n",
            "Done\n"
          ]
        }
      ],
      "source": [
        "hasil = model.fit(X_train_final, y_train, epochs=100, validation_split=0.2, callbacks = callbacks)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 239,
      "id": "CO-EE5PnGe4n",
      "metadata": {
        "id": "CO-EE5PnGe4n"
      },
      "outputs": [],
      "source": [
        "def split_data(x, y, time_steps=1):\n",
        "    xs, ys = [], []\n",
        "    for i in range(len(x) - time_steps):\n",
        "        v = x[i:(i + time_steps)]\n",
        "        xs.append(v)\n",
        "        ys.append(y[i + time_steps])\n",
        "    return np.array(xs), np.array(ys)\n",
        "\n",
        "x_test_final, y_test_final = split_data(x_test_prepared, y_test, 1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 240,
      "id": "R3qK1qpwEnYi",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R3qK1qpwEnYi",
        "outputId": "1d591818-5bb1-463a-c847-698c9e4a18e1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[[67.88551]]\n"
          ]
        }
      ],
      "source": [
        "prediction = model.predict(x_test_final[1])\n",
        "print(prediction)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 241,
      "id": "PzLlfodIG9CR",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PzLlfodIG9CR",
        "outputId": "24f6000d-10ca-4114-e30a-1d59ab38c2f4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "47"
            ]
          },
          "execution_count": 241,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "y_test_final[1]"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "_RL1TZ41HEFj",
      "metadata": {
        "id": "_RL1TZ41HEFj"
      },
      "source": [
        "### the prediction and actual value is still miss (gap is 20) the MAE is 12-13 on RNN but on random forest the RMSE is 6-7"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "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": "3.9.7"
    },
    "papermill": {
      "default_parameters": {},
      "duration": 143.267472,
      "end_time": "2022-09-30T12:15:03.884937",
      "environment_variables": {},
      "exception": null,
      "input_path": "__notebook__.ipynb",
      "output_path": "__notebook__.ipynb",
      "parameters": {},
      "start_time": "2022-09-30T12:12:40.617465",
      "version": "2.3.4"
    },
    "vscode": {
      "interpreter": {
        "hash": "47c32f92d9eaa0f96702d1b8b199f816f3a7beccdfdfd2349412375d1dfe2cad"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}