atm_data.ipynb

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  "metadata": {
    "colab": {
      "name": "atm_data.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOTOPuggLu5Fs0Lk7ciFSAV"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "ll0nRTf0sKAA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#import libraries\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aklB9Li0xrJ0",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "outputId": "d382ae7d-6519-410a-b08a-63f7cf3507e1"
      },
      "source": [
        "#loading the dataset\n",
        "df=pd.read_csv(\"/content/atm bank dataset.csv\")\n",
        "df.head()\n"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>atm_name</th>\n",
              "      <th>weekday</th>\n",
              "      <th>festival_religion</th>\n",
              "      <th>working_day</th>\n",
              "      <th>holiday_sequence</th>\n",
              "      <th>trans_date_set</th>\n",
              "      <th>trans_month</th>\n",
              "      <th>trans_year</th>\n",
              "      <th>prevweek_mean</th>\n",
              "      <th>total_amount_withdrawn</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>11</td>\n",
              "      <td>Mount Road ATM</td>\n",
              "      <td>MONDAY</td>\n",
              "      <td>NH</td>\n",
              "      <td>W</td>\n",
              "      <td>WWW</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2011</td>\n",
              "      <td>648600</td>\n",
              "      <td>897100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>16</td>\n",
              "      <td>Mount Road ATM</td>\n",
              "      <td>TUESDAY</td>\n",
              "      <td>NH</td>\n",
              "      <td>W</td>\n",
              "      <td>WWW</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2011</td>\n",
              "      <td>648600</td>\n",
              "      <td>826000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>21</td>\n",
              "      <td>Mount Road ATM</td>\n",
              "      <td>WEDNESDAY</td>\n",
              "      <td>NH</td>\n",
              "      <td>W</td>\n",
              "      <td>WWW</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2011</td>\n",
              "      <td>648600</td>\n",
              "      <td>754400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>26</td>\n",
              "      <td>Mount Road ATM</td>\n",
              "      <td>THURSDAY</td>\n",
              "      <td>NH</td>\n",
              "      <td>W</td>\n",
              "      <td>WWW</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2011</td>\n",
              "      <td>648600</td>\n",
              "      <td>834200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>31</td>\n",
              "      <td>Mount Road ATM</td>\n",
              "      <td>FRIDAY</td>\n",
              "      <td>NH</td>\n",
              "      <td>W</td>\n",
              "      <td>WWW</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2011</td>\n",
              "      <td>648600</td>\n",
              "      <td>575300</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id        atm_name  ... prevweek_mean total_amount_withdrawn\n",
              "0  11  Mount Road ATM  ...        648600                 897100\n",
              "1  16  Mount Road ATM  ...        648600                 826000\n",
              "2  21  Mount Road ATM  ...        648600                 754400\n",
              "3  26  Mount Road ATM  ...        648600                 834200\n",
              "4  31  Mount Road ATM  ...        648600                 575300\n",
              "\n",
              "[5 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zuXtAHJJxzxh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "be9232d8-4dce-4d37-df9d-363be4cb0010"
      },
      "source": [
        "df.shape "
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2244, 11)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Lr2Vas9QvqfA",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "*   2244 rows and 11 columns\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WD-y83tjx3kO",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "outputId": "f1ae3c49-a07e-4e59-b994-dc3c8db99d57"
      },
      "source": [
        "#for knowing statastical values\n",
        "df.describe()"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>trans_date_set</th>\n",
              "      <th>trans_month</th>\n",
              "      <th>trans_year</th>\n",
              "      <th>prevweek_mean</th>\n",
              "      <th>total_amount_withdrawn</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>2244.000000</td>\n",
              "      <td>2244.000000</td>\n",
              "      <td>2244.000000</td>\n",
              "      <td>2244.000000</td>\n",
              "      <td>2.244000e+03</td>\n",
              "      <td>2.244000e+03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>5706.037433</td>\n",
              "      <td>3.557932</td>\n",
              "      <td>6.313280</td>\n",
              "      <td>2013.710784</td>\n",
              "      <td>5.150901e+05</td>\n",
              "      <td>5.157175e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>3348.296502</td>\n",
              "      <td>1.760703</td>\n",
              "      <td>3.257336</td>\n",
              "      <td>1.920082</td>\n",
              "      <td>1.935272e+05</td>\n",
              "      <td>2.551791e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>11.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2011.000000</td>\n",
              "      <td>1.800000e+03</td>\n",
              "      <td>1.000000e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2816.750000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>2012.000000</td>\n",
              "      <td>4.197290e+05</td>\n",
              "      <td>3.494750e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>5664.500000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>2014.000000</td>\n",
              "      <td>5.403860e+05</td>\n",
              "      <td>5.141000e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>8447.250000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>2015.000000</td>\n",
              "      <td>6.378000e+05</td>\n",
              "      <td>6.849250e+05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>11585.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>2017.000000</td>\n",
              "      <td>1.006829e+06</td>\n",
              "      <td>1.410700e+06</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id  trans_date_set  ...  prevweek_mean  total_amount_withdrawn\n",
              "count   2244.000000     2244.000000  ...   2.244000e+03            2.244000e+03\n",
              "mean    5706.037433        3.557932  ...   5.150901e+05            5.157175e+05\n",
              "std     3348.296502        1.760703  ...   1.935272e+05            2.551791e+05\n",
              "min       11.000000        1.000000  ...   1.800000e+03            1.000000e+02\n",
              "25%     2816.750000        2.000000  ...   4.197290e+05            3.494750e+05\n",
              "50%     5664.500000        4.000000  ...   5.403860e+05            5.141000e+05\n",
              "75%     8447.250000        5.000000  ...   6.378000e+05            6.849250e+05\n",
              "max    11585.000000        7.000000  ...   1.006829e+06            1.410700e+06\n",
              "\n",
              "[8 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ihmg5apczV-r",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        },
        "outputId": "4782686f-36d7-4c0e-a52e-4744be6aecef"
      },
      "source": [
        "#check the datatype of each variable\n",
        "df.dtypes"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                         int64\n",
              "atm_name                  object\n",
              "weekday                   object\n",
              "festival_religion         object\n",
              "working_day               object\n",
              "holiday_sequence          object\n",
              "trans_date_set             int64\n",
              "trans_month                int64\n",
              "trans_year                 int64\n",
              "prevweek_mean              int64\n",
              "total_amount_withdrawn     int64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "K043YZVRz7Kw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        },
        "outputId": "9f15553c-e76a-4074-d870-94c331a37ac5"
      },
      "source": [
        "#checking null values\n",
        "df.isnull().sum()"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                        0\n",
              "atm_name                  0\n",
              "weekday                   0\n",
              "festival_religion         0\n",
              "working_day               0\n",
              "holiday_sequence          0\n",
              "trans_date_set            0\n",
              "trans_month               0\n",
              "trans_year                0\n",
              "prevweek_mean             0\n",
              "total_amount_withdrawn    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XxLYy7Myv7tP",
        "colab_type": "text"
      },
      "source": [
        "* There is no Null values."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JWhqsgzy20gM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#drop 1st and 2nd column from the dataset\n",
        "df = df.drop(df.columns[[0,1]], axis=1) "
      ],
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZZES68kR5EK1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        },
        "outputId": "b0580522-4a52-4f62-dff2-b461bd2a17a7"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>weekday</th>\n",
              "      <th>festival_religion</th>\n",
              "      <th>working_day</th>\n",
              "      <th>holiday_sequence</th>\n",
              "      <th>trans_date_set</th>\n",
              "      <th>trans_month</th>\n",
              "      <th>trans_year</th>\n",
              "      <th>prevweek_mean</th>\n",
              "      <th>total_amount_withdrawn</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>MONDAY</td>\n",
              "      <td>NH</td>\n",
              "      <td>W</td>\n",
              "      <td>WWW</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2011</td>\n",
              "      <td>648600</td>\n",
              "      <td>897100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>TUESDAY</td>\n",
              "      <td>NH</td>\n",
              "      <td>W</td>\n",
              "      <td>WWW</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2011</td>\n",
              "      <td>648600</td>\n",
              "      <td>826000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>WEDNESDAY</td>\n",
              "      <td>NH</td>\n",
              "      <td>W</td>\n",
              "      <td>WWW</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2011</td>\n",
              "      <td>648600</td>\n",
              "      <td>754400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>THURSDAY</td>\n",
              "      <td>NH</td>\n",
              "      <td>W</td>\n",
              "      <td>WWW</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2011</td>\n",
              "      <td>648600</td>\n",
              "      <td>834200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>FRIDAY</td>\n",
              "      <td>NH</td>\n",
              "      <td>W</td>\n",
              "      <td>WWW</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2011</td>\n",
              "      <td>648600</td>\n",
              "      <td>575300</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     weekday festival_religion  ... prevweek_mean total_amount_withdrawn\n",
              "0     MONDAY                NH  ...        648600                 897100\n",
              "1    TUESDAY                NH  ...        648600                 826000\n",
              "2  WEDNESDAY                NH  ...        648600                 754400\n",
              "3   THURSDAY                NH  ...        648600                 834200\n",
              "4     FRIDAY                NH  ...        648600                 575300\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RlO5vtex9zIt",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        },
        "outputId": "55cd1d7f-bb64-49dc-9f97-5ef5381f3513"
      },
      "source": [
        "df.columns"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['weekday', 'festival_religion', 'working_day', 'holiday_sequence',\n",
              "       'trans_date_set', 'trans_month', 'trans_year', 'prevweek_mean',\n",
              "       'total_amount_withdrawn'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fC1lO4Al9wzb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 577
        },
        "outputId": "0fa475eb-0a89-4d40-bf3b-f5809fa23cb7"
      },
      "source": [
        "categorcial_variables = ['trans_month','weekday']\n",
        "for col in categorcial_variables:\n",
        "    plt.figure(figsize=(10,4))\n",
        "    sns.barplot(df[col].value_counts().index,df[col].value_counts().values)\n",
        "    plt.title(col)\n",
        "    plt.tight_layout()"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6qc6xXAp_tTK",
        "colab_type": "text"
      },
      "source": [
        "As we can see in the bar plot, Saturdays and Sundays are the most active days to withdraw money.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N1jEjw_F5dLf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#categorical to numerical\n",
        "df=pd.get_dummies(df,columns=['weekday','festival_religion','working_day','holiday_sequence'])"
      ],
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XrliD9nl5c-3",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "20653751-7618-4034-f3d9-f49f55da4d4c"
      },
      "source": [
        "df.shape"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2244, 27)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "etJUbOdSSX96",
        "colab_type": "text"
      },
      "source": [
        "After OHE we have 2244 observations with 27 columns (features)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PG9MoKPHS9RV",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 999
        },
        "outputId": "fa7d5daf-bab1-40ca-e908-a31196078089"
      },
      "source": [
        "corr=df.corr()\n",
        "plt.figure(figsize=(20,20))\n",
        "sns.heatmap(df.corr(),annot=True)"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc783454940>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i7WRIiTgN5FZ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#selecting one feature amoung highly correlated varible\n",
        "columns = np.full((corr.shape[0],), True, dtype=bool)\n",
        "for i in range(corr.shape[0]):\n",
        "    for j in range(i+1, corr.shape[0]):\n",
        "        if corr.iloc[i,j] >= 0.9:\n",
        "            if columns[j]:\n",
        "                columns[j] = False\n",
        "selected_columns = df.columns[columns]\n",
        "df1 = df[selected_columns]"
      ],
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2zEGqjpeJQ-E",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import classification_report\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.linear_model import LinearRegression\n"
      ],
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qo_-Qiw_MIUD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "x = df1.drop(columns = ['total_amount_withdrawn'])\n",
        "y = df1['total_amount_withdrawn']"
      ],
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "__dOzpeoHR01",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "2193ea34-a4d8-4253-c780-b12d38829197"
      },
      "source": [
        "x = df1.drop(columns = ['total_amount_withdrawn'])\n",
        "y = df1['total_amount_withdrawn']\n",
        "\n",
        "\n",
        "xtrain,xtest,ytrain,ytest=train_test_split(x,y,test_size=.20)\n",
        "print(xtrain.shape,xtest.shape,ytrain.shape,ytest.shape)\n",
        "\n"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(1795, 24) (449, 24) (1795,) (449,)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d8px-ssnXu_G",
        "colab_type": "text"
      },
      "source": [
        "#Linear Regression\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m28ncMGJJQ4K",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "195d95f9-3653-4311-964a-8876459d58a5"
      },
      "source": [
        "model=LinearRegression()\n",
        "model.fit(xtrain,ytrain)"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "epoR17vRPKCy",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "pred=model.predict(xtest)"
      ],
      "execution_count": 45,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HbcWtaAyNwGC",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "outputId": "6a29062b-46d5-4a79-b23c-1b482d1e69b8"
      },
      "source": [
        "data1= pd.DataFrame({'Actual': ytest, 'Predicted': pred})\n",
        "data1"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Actual</th>\n",
              "      <th>Predicted</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>925</th>\n",
              "      <td>192500</td>\n",
              "      <td>348156.706765</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>250</th>\n",
              "      <td>444300</td>\n",
              "      <td>716872.499319</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>465300</td>\n",
              "      <td>559884.210982</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>646</th>\n",
              "      <td>735500</td>\n",
              "      <td>558849.259746</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1002</th>\n",
              "      <td>593800</td>\n",
              "      <td>448484.482732</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1128</th>\n",
              "      <td>408500</td>\n",
              "      <td>463945.602674</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>622</th>\n",
              "      <td>551200</td>\n",
              "      <td>498102.765798</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1917</th>\n",
              "      <td>448000</td>\n",
              "      <td>444479.440838</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2001</th>\n",
              "      <td>4800</td>\n",
              "      <td>182401.552081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>559200</td>\n",
              "      <td>570200.520761</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>449 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      Actual      Predicted\n",
              "925   192500  348156.706765\n",
              "250   444300  716872.499319\n",
              "79    465300  559884.210982\n",
              "646   735500  558849.259746\n",
              "1002  593800  448484.482732\n",
              "...      ...            ...\n",
              "1128  408500  463945.602674\n",
              "622   551200  498102.765798\n",
              "1917  448000  444479.440838\n",
              "2001    4800  182401.552081\n",
              "99    559200  570200.520761\n",
              "\n",
              "[449 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wV2UF8KBRkrH",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "outputId": "804c1e9f-17d1-4767-9125-5bf411967382"
      },
      "source": [
        "#plotting graph of prediction vs actual value\n",
        "df1 = data1.head(25)\n",
        "df1.plot(kind='bar',figsize=(16,10))\n",
        "plt.grid(which='major', linestyle='-', linewidth='0.5', color='green')\n",
        "plt.grid(which='minor', linestyle=':', linewidth='0.5', color='black')\n",
        "plt.show()"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ewhKnP8scLRN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        },
        "outputId": "66996a03-335e-4dc5-aeaa-36f6d6ce2754"
      },
      "source": [
        "from sklearn import metrics\n",
        "MAE_lr=metrics.mean_absolute_error(ytest,pred)\n",
        "MSE_lr=metrics.mean_squared_error(ytest,pred)\n",
        "RMSE_lr=np.sqrt(MSE_lr)\n",
        "r2=metrics.r2_score(ytest,pred)\n",
        "print(MAE_lr)\n",
        "print(MSE_lr)\n",
        "print(RMSE_lr)                    \n",
        "print(r2)"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "163595.0256257102\n",
            "42796660623.932625\n",
            "206873.53775660295\n",
            "0.3367096170463384\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CQfqcHwmYlTX",
        "colab_type": "text"
      },
      "source": [
        "#XGBoost Regression"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dP6KZeQcYj_G",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        },
        "outputId": "793c5c7a-824b-4e0f-d479-708dacb23d50"
      },
      "source": [
        "import xgboost as xgb\n",
        "\n",
        "model_xgb=xgb.XGBRegressor()\n",
        "model_xgb.fit(xtrain,ytrain)\n",
        "pred=model_xgb.predict(xtest)"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[08:42:54] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "meJubRw_Zbui",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "outputId": "3f0a7675-f0a6-4c62-e974-afda04fc9820"
      },
      "source": [
        "data2= pd.DataFrame({'Actual': ytest, 'Predicted': pred})\n",
        "data2"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Actual</th>\n",
              "      <th>Predicted</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>925</th>\n",
              "      <td>192500</td>\n",
              "      <td>356278.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>250</th>\n",
              "      <td>444300</td>\n",
              "      <td>742527.687500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>465300</td>\n",
              "      <td>447503.843750</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>646</th>\n",
              "      <td>735500</td>\n",
              "      <td>520836.281250</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1002</th>\n",
              "      <td>593800</td>\n",
              "      <td>531445.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1128</th>\n",
              "      <td>408500</td>\n",
              "      <td>568046.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>622</th>\n",
              "      <td>551200</td>\n",
              "      <td>503995.468750</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1917</th>\n",
              "      <td>448000</td>\n",
              "      <td>227958.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2001</th>\n",
              "      <td>4800</td>\n",
              "      <td>91194.453125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>559200</td>\n",
              "      <td>443600.062500</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>449 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      Actual      Predicted\n",
              "925   192500  356278.250000\n",
              "250   444300  742527.687500\n",
              "79    465300  447503.843750\n",
              "646   735500  520836.281250\n",
              "1002  593800  531445.000000\n",
              "...      ...            ...\n",
              "1128  408500  568046.750000\n",
              "622   551200  503995.468750\n",
              "1917  448000  227958.750000\n",
              "2001    4800   91194.453125\n",
              "99    559200  443600.062500\n",
              "\n",
              "[449 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hDzrakS3Zqz0",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "outputId": "7aab5688-cd6f-4440-ea78-fb1bf00d94ca"
      },
      "source": [
        "#predic value vs actual\n",
        "df1 = data2.tail(25)\n",
        "df1.plot(kind='bar',figsize=(16,10))\n",
        "plt.grid(which='major', linestyle='-', linewidth='0.5', color='green')\n",
        "plt.grid(which='minor', linestyle=':', linewidth='0.5', color='black')\n",
        "plt.show()"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-wa5Oo5ViJ-H",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "e2c3bece-fc32-4998-96fe-7436d2a2689d"
      },
      "source": [
        "from sklearn import metrics\n",
        "MAE_xb=metrics.mean_absolute_error(ytest,pred)\n",
        "MSE_xb=metrics.mean_squared_error(ytest,pred)\n",
        "RMSE_xb=np.sqrt(MSE_xb)\n",
        "\n",
        "print(MAE_xb)\n",
        "print(MSE_xb)\n",
        "print(RMSE_xb)                    \n"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "131570.18262806235\n",
            "29510130848.746986\n",
            "171785.12988249882\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KbiJscYPlFty",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 445
        },
        "outputId": "6b7d448e-32b8-4a9b-e0e3-7ccc449fde9d"
      },
      "source": [
        "pip install shap"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting shap\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/d2/17/37ee6c79cafbd9bb7423b54e55ea90beec66aa7638664d607bcc28de0bae/shap-0.36.0.tar.gz (319kB)\n",
            "\u001b[K     |████████████████████████████████| 327kB 2.8MB/s \n",
            "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from shap) (1.18.5)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.6/dist-packages (from shap) (1.4.1)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.6/dist-packages (from shap) (0.22.2.post1)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.6/dist-packages (from shap) (1.0.5)\n",
            "Requirement already satisfied: tqdm>4.25.0 in /usr/local/lib/python3.6/dist-packages (from shap) (4.41.1)\n",
            "Collecting slicer\n",
            "  Downloading https://files.pythonhosted.org/packages/46/cf/f37ac7f61214ed044b0df91252ab19376de5587926c5b572f060eb7bf257/slicer-0.0.4-py3-none-any.whl\n",
            "Requirement already satisfied: numba in /usr/local/lib/python3.6/dist-packages (from shap) (0.48.0)\n",
            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-learn->shap) (0.16.0)\n",
            "Requirement already satisfied: python-dateutil>=2.6.1 in /usr/local/lib/python3.6/dist-packages (from pandas->shap) (2.8.1)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.6/dist-packages (from pandas->shap) (2018.9)\n",
            "Requirement already satisfied: llvmlite<0.32.0,>=0.31.0dev0 in /usr/local/lib/python3.6/dist-packages (from numba->shap) (0.31.0)\n",
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from numba->shap) (50.3.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from python-dateutil>=2.6.1->pandas->shap) (1.15.0)\n",
            "Building wheels for collected packages: shap\n",
            "  Building wheel for shap (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for shap: filename=shap-0.36.0-cp36-cp36m-linux_x86_64.whl size=456459 sha256=531ea400782deb379d03a4e72ce126dd885042b894d117a14777db401c4c5155\n",
            "  Stored in directory: /root/.cache/pip/wheels/fb/15/e1/8f61106790da27e0765aaa6e664550ca2c50ea339099e799f4\n",
            "Successfully built shap\n",
            "Installing collected packages: slicer, shap\n",
            "Successfully installed shap-0.36.0 slicer-0.0.4\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "edSSEIldkPOh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 581
        },
        "outputId": "b9e144cf-48ce-4dec-84cb-3de903c79a71"
      },
      "source": [
        "#feature importance\n",
        "import shap\n",
        "shap_values = shap.TreeExplainer(model_xgb).shap_values(xtest)\n",
        "shap.summary_plot(shap_values, xtest, plot_type=\"bar\")"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x684 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ziyv2ALLzvM5",
        "colab_type": "text"
      },
      "source": [
        "#  LGBMRegressor\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BnvLxDR0kLV_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        },
        "outputId": "dc80c57b-87df-4977-ee07-22ccedf9c41d"
      },
      "source": [
        "from lightgbm import LGBMRegressor\n",
        "\n",
        "gbm=LGBMRegressor(objective='regression',num_leaves=31,random_state=42,learning_rate=.1,n_estimators=100)\n",
        "gbm.fit(xtrain,ytrain,eval_set=[(xtest,ytest)],eval_metric='rmse',early_stopping_rounds=10,verbose=50)\n",
        "print();\n",
        "print(gbm)"
      ],
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Training until validation scores don't improve for 10 rounds.\n",
            "[50]\tvalid_0's rmse: 170268\tvalid_0's l2: 2.89913e+10\n",
            "Early stopping, best iteration is:\n",
            "[65]\tvalid_0's rmse: 169805\tvalid_0's l2: 2.88337e+10\n",
            "\n",
            "LGBMRegressor(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,\n",
            "              importance_type='split', learning_rate=0.1, max_depth=-1,\n",
            "              min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0,\n",
            "              n_estimators=100, n_jobs=-1, num_leaves=31,\n",
            "              objective='regression', random_state=42, reg_alpha=0.0,\n",
            "              reg_lambda=0.0, silent=True, subsample=1.0,\n",
            "              subsample_for_bin=200000, subsample_freq=0)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vVeyyd3Z4LZ9",
        "colab_type": "text"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gnr1y46u1_vx",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "outputId": "34108e97-74ae-466e-e7f0-c5bb24ad66a9"
      },
      "source": [
        "lgbm_predict=gbm.predict(xtest,num_iteration=gbm.best_iteration_)\n",
        "data3= pd.DataFrame({'Actual': ytest, 'Predicted': lgbm_predict})\n",
        "data3"
      ],
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Actual</th>\n",
              "      <th>Predicted</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>925</th>\n",
              "      <td>192500</td>\n",
              "      <td>319312.575298</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>250</th>\n",
              "      <td>444300</td>\n",
              "      <td>778601.257638</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>465300</td>\n",
              "      <td>437027.033400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>646</th>\n",
              "      <td>735500</td>\n",
              "      <td>601516.640663</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1002</th>\n",
              "      <td>593800</td>\n",
              "      <td>498872.668322</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1128</th>\n",
              "      <td>408500</td>\n",
              "      <td>615760.733558</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>622</th>\n",
              "      <td>551200</td>\n",
              "      <td>485892.760486</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1917</th>\n",
              "      <td>448000</td>\n",
              "      <td>173005.376661</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2001</th>\n",
              "      <td>4800</td>\n",
              "      <td>125825.463050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>559200</td>\n",
              "      <td>401227.099824</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>449 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      Actual      Predicted\n",
              "925   192500  319312.575298\n",
              "250   444300  778601.257638\n",
              "79    465300  437027.033400\n",
              "646   735500  601516.640663\n",
              "1002  593800  498872.668322\n",
              "...      ...            ...\n",
              "1128  408500  615760.733558\n",
              "622   551200  485892.760486\n",
              "1917  448000  173005.376661\n",
              "2001    4800  125825.463050\n",
              "99    559200  401227.099824\n",
              "\n",
              "[449 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z7zyaoTR5ahu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "outputId": "db903cdb-85f7-4991-d9cd-4c1f6a3aca95"
      },
      "source": [
        "df1 = data3.tail(25)\n",
        "df1.plot(kind='bar',figsize=(16,10))\n",
        "plt.grid(which='major', linestyle='-', linewidth='0.5', color='green')\n",
        "plt.grid(which='minor', linestyle=':', linewidth='0.5', color='black')\n",
        "plt.show()"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S1KKYPwl5k5H",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "ec19d6a8-6de2-4565-b951-d0c18e8f13c8"
      },
      "source": [
        "from sklearn import metrics\n",
        "MAE_gbm=metrics.mean_absolute_error(ytest,pred)\n",
        "MSE_gbm=metrics.mean_squared_error(ytest,pred)\n",
        "RMSE_gbm=np.sqrt(MSE_gbm)\n",
        "\n",
        "print(MAE_gbm)\n",
        "print(MSE_gbm)\n",
        "print(RMSE_gbm)                    \n"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "131570.18262806235\n",
            "29510130848.746986\n",
            "171785.12988249882\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6lQRQDgykMAL",
        "colab_type": "text"
      },
      "source": [
        "# ANN"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "35RjnVflldMW",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Importing the Keras libraries and packages\n",
        "import keras\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense"
      ],
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NVdX7BrGlufO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Initializing the ANN\n",
        "classifier = Sequential()\n",
        "# Adding the input layer and the first hidden layer\n",
        "classifier.add(Dense(25, activation = 'relu', input_dim = 24))\n",
        "# Adding the 2 hidden layer\n",
        "classifier.add(Dense(20, activation = 'relu'))\n",
        "# Adding the 3 hidden layer\n",
        "classifier.add(Dense(15, activation = 'relu'))\n",
        "# Adding the 4 hidden layer\n",
        "classifier.add(Dense(8,  activation = 'relu'))\n",
        "# Adding the output layer\n",
        "classifier.add(Dense(1, activation = 'linear'))\n",
        "# Adding the output layer\n",
        "#classifier.add(Dense(1, activation = 'linear'))\n",
        "# Compiling the ANN\n",
        "classifier.compile(optimizer = 'Adam', loss = 'mse')\n",
        "# Fitting the ANN to the Training set\n",
        "classifier.fit(xtrain, ytrain, batch_size=100,epochs = 500)\n",
        "# Part 3 - Making the predictions and evaluating the model\n",
        "# Predicting the Test set results\n",
        "y_pred = classifier.predict(xtest)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u2jC18vrwhU2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "0769cd64-71e1-4b30-8a22-2c513ff94360"
      },
      "source": [
        "from sklearn import metrics\n",
        "\n",
        "MAE_NN=metrics.mean_absolute_error(ytest, y_pred)\n",
        "MSE_NN=metrics.mean_squared_error(ytest, y_pred)\n",
        "RMSE_NN=np.sqrt(metrics.mean_squared_error(ytest, y_pred))\n",
        "print(MAE_NN)\n",
        "print(MSE_NN)\n",
        "print(RMSE_NN)"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "165635.16124373607\n",
            "47559487314.626045\n",
            "218081.3777346109\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8mPp3AYl8vkj",
        "colab_type": "text"
      },
      "source": [
        "# comparitive analysis"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GldEaJ4-whPZ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "outputId": "c7b14746-d892-4eaf-ca5b-acce6ffcf142"
      },
      "source": [
        "ind=['Linear regression','XGBoost Regression','LGBMRegressor','ANN']\n",
        "data={\"MAE\":[MAE_lr,MAE_xb,MAE_gbm,MAE_NN],\"MSE\":[MSE_lr,MSE_xb,MSE_gbm,MSE_NN],\n",
        "      \"RMSE\":[RMSE_lr,RMSE_xb,RMSE_gbm,RMSE_NN]}\n",
        "result=pd.DataFrame(data=data,index=ind)\n",
        "result"
      ],
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>MAE</th>\n",
              "      <th>MSE</th>\n",
              "      <th>RMSE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Linear regression</th>\n",
              "      <td>163595.025626</td>\n",
              "      <td>4.279666e+10</td>\n",
              "      <td>206873.537757</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>XGBoost Regression</th>\n",
              "      <td>131570.182628</td>\n",
              "      <td>2.951013e+10</td>\n",
              "      <td>171785.129882</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LGBMRegressor</th>\n",
              "      <td>131570.182628</td>\n",
              "      <td>2.951013e+10</td>\n",
              "      <td>171785.129882</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ANN</th>\n",
              "      <td>165635.161244</td>\n",
              "      <td>4.755949e+10</td>\n",
              "      <td>218081.377735</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                              MAE           MSE           RMSE\n",
              "Linear regression   163595.025626  4.279666e+10  206873.537757\n",
              "XGBoost Regression  131570.182628  2.951013e+10  171785.129882\n",
              "LGBMRegressor       131570.182628  2.951013e+10  171785.129882\n",
              "ANN                 165635.161244  4.755949e+10  218081.377735"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 63
        }
      ]
    }
  ]
}