watson_ANN.ipynb

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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.model_selection import train_test_split\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "import seaborn as sns\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "from sklearn.utils.class_weight import compute_class_weight"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data=pd.read_csv('/content/drive/MyDrive/watson_healthcare_modified.csv')"
      ],
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        "id": "Cfn1vCYDYRtM"
      },
      "execution_count": 68,
      "outputs": []
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        "data.head()"
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              "   EmployeeID  Age Attrition     BusinessTravel  DailyRate  Department  \\\n",
              "0     1313919   41        No      Travel_Rarely       1102  Cardiology   \n",
              "1     1200302   49        No  Travel_Frequently        279   Maternity   \n",
              "2     1060315   37       Yes      Travel_Rarely       1373   Maternity   \n",
              "3     1272912   33        No  Travel_Frequently       1392   Maternity   \n",
              "4     1414939   27        No      Travel_Rarely        591   Maternity   \n",
              "\n",
              "   DistanceFromHome  Education EducationField  EmployeeCount  ...  \\\n",
              "0                 1          2  Life Sciences              1  ...   \n",
              "1                 8          1  Life Sciences              1  ...   \n",
              "2                 2          2          Other              1  ...   \n",
              "3                 3          4  Life Sciences              1  ...   \n",
              "4                 2          1        Medical              1  ...   \n",
              "\n",
              "   RelationshipSatisfaction StandardHours  Shift  TotalWorkingYears  \\\n",
              "0                         1            80      0                  8   \n",
              "1                         4            80      1                 10   \n",
              "2                         2            80      0                  7   \n",
              "3                         3            80      0                  8   \n",
              "4                         4            80      1                  6   \n",
              "\n",
              "   TrainingTimesLastYear WorkLifeBalance  YearsAtCompany YearsInCurrentRole  \\\n",
              "0                      0               1               6                  4   \n",
              "1                      3               3              10                  7   \n",
              "2                      3               3               0                  0   \n",
              "3                      3               3               8                  7   \n",
              "4                      3               3               2                  2   \n",
              "\n",
              "   YearsSinceLastPromotion  YearsWithCurrManager  \n",
              "0                        0                     5  \n",
              "1                        1                     7  \n",
              "2                        0                     0  \n",
              "3                        3                     0  \n",
              "4                        2                     2  \n",
              "\n",
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          "metadata": {},
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        "data.info()"
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      "execution_count": 70,
      "outputs": [
        {
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1676 entries, 0 to 1675\n",
            "Data columns (total 35 columns):\n",
            " #   Column                    Non-Null Count  Dtype \n",
            "---  ------                    --------------  ----- \n",
            " 0   EmployeeID                1676 non-null   int64 \n",
            " 1   Age                       1676 non-null   int64 \n",
            " 2   Attrition                 1676 non-null   object\n",
            " 3   BusinessTravel            1676 non-null   object\n",
            " 4   DailyRate                 1676 non-null   int64 \n",
            " 5   Department                1676 non-null   object\n",
            " 6   DistanceFromHome          1676 non-null   int64 \n",
            " 7   Education                 1676 non-null   int64 \n",
            " 8   EducationField            1676 non-null   object\n",
            " 9   EmployeeCount             1676 non-null   int64 \n",
            " 10  EnvironmentSatisfaction   1676 non-null   int64 \n",
            " 11  Gender                    1676 non-null   object\n",
            " 12  HourlyRate                1676 non-null   int64 \n",
            " 13  JobInvolvement            1676 non-null   int64 \n",
            " 14  JobLevel                  1676 non-null   int64 \n",
            " 15  JobRole                   1676 non-null   object\n",
            " 16  JobSatisfaction           1676 non-null   int64 \n",
            " 17  MaritalStatus             1676 non-null   object\n",
            " 18  MonthlyIncome             1676 non-null   int64 \n",
            " 19  MonthlyRate               1676 non-null   int64 \n",
            " 20  NumCompaniesWorked        1676 non-null   int64 \n",
            " 21  Over18                    1676 non-null   object\n",
            " 22  OverTime                  1676 non-null   object\n",
            " 23  PercentSalaryHike         1676 non-null   int64 \n",
            " 24  PerformanceRating         1676 non-null   int64 \n",
            " 25  RelationshipSatisfaction  1676 non-null   int64 \n",
            " 26  StandardHours             1676 non-null   int64 \n",
            " 27  Shift                     1676 non-null   int64 \n",
            " 28  TotalWorkingYears         1676 non-null   int64 \n",
            " 29  TrainingTimesLastYear     1676 non-null   int64 \n",
            " 30  WorkLifeBalance           1676 non-null   int64 \n",
            " 31  YearsAtCompany            1676 non-null   int64 \n",
            " 32  YearsInCurrentRole        1676 non-null   int64 \n",
            " 33  YearsSinceLastPromotion   1676 non-null   int64 \n",
            " 34  YearsWithCurrManager      1676 non-null   int64 \n",
            "dtypes: int64(26), object(9)\n",
            "memory usage: 458.4+ KB\n"
          ]
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    {
      "cell_type": "code",
      "source": [
        "data.StandardHours.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "13kPeCbIg4Uj",
        "outputId": "51f9b192-9d1a-4b37-b802-aaef2976e686"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "80    1676\n",
              "Name: StandardHours, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SwBK0qiUg391",
        "outputId": "91553fb6-f1af-4abd-b42b-046c7b590080"
      },
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "EmployeeID                  0\n",
              "Age                         0\n",
              "Attrition                   0\n",
              "BusinessTravel              0\n",
              "DailyRate                   0\n",
              "Department                  0\n",
              "DistanceFromHome            0\n",
              "Education                   0\n",
              "EducationField              0\n",
              "EmployeeCount               0\n",
              "EnvironmentSatisfaction     0\n",
              "Gender                      0\n",
              "HourlyRate                  0\n",
              "JobInvolvement              0\n",
              "JobLevel                    0\n",
              "JobRole                     0\n",
              "JobSatisfaction             0\n",
              "MaritalStatus               0\n",
              "MonthlyIncome               0\n",
              "MonthlyRate                 0\n",
              "NumCompaniesWorked          0\n",
              "Over18                      0\n",
              "OverTime                    0\n",
              "PercentSalaryHike           0\n",
              "PerformanceRating           0\n",
              "RelationshipSatisfaction    0\n",
              "StandardHours               0\n",
              "Shift                       0\n",
              "TotalWorkingYears           0\n",
              "TrainingTimesLastYear       0\n",
              "WorkLifeBalance             0\n",
              "YearsAtCompany              0\n",
              "YearsInCurrentRole          0\n",
              "YearsSinceLastPromotion     0\n",
              "YearsWithCurrManager        0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "kpZ0-Omsh4qh"
      },
      "execution_count": 72,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.drop(['DailyRate','HourlyRate','MonthlyRate','PercentSalaryHike','EmployeeID','Over18','EmployeeCount','StandardHours','RelationshipSatisfaction','PerformanceRating','WorkLifeBalance'],axis='columns',inplace=True)\n"
      ],
      "metadata": {
        "id": "TYKHF5cJYh6L"
      },
      "execution_count": 73,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.duplicated().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DqjjnqKKjBLW",
        "outputId": "08579682-48f7-4872-bc5b-92761b9f2085"
      },
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "56"
            ]
          },
          "metadata": {},
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        },
        "id": "bhfwhcIEj3xS",
        "outputId": "aeed01ce-2376-4b14-ec5c-67f8fd92231c"
      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Age Attrition     BusinessTravel  Department  DistanceFromHome  Education  \\\n",
              "0   41        No      Travel_Rarely  Cardiology                 1          2   \n",
              "1   49        No  Travel_Frequently   Maternity                 8          1   \n",
              "2   37       Yes      Travel_Rarely   Maternity                 2          2   \n",
              "3   33        No  Travel_Frequently   Maternity                 3          4   \n",
              "4   27        No      Travel_Rarely   Maternity                 2          1   \n",
              "\n",
              "  EducationField  EnvironmentSatisfaction  Gender  JobInvolvement  ...  \\\n",
              "0  Life Sciences                        2  Female               3  ...   \n",
              "1  Life Sciences                        3    Male               2  ...   \n",
              "2          Other                        4    Male               2  ...   \n",
              "3  Life Sciences                        4  Female               3  ...   \n",
              "4        Medical                        1    Male               3  ...   \n",
              "\n",
              "   MonthlyIncome NumCompaniesWorked  OverTime Shift  TotalWorkingYears  \\\n",
              "0           5993                  8       Yes     0                  8   \n",
              "1           5130                  1        No     1                 10   \n",
              "2           2090                  6       Yes     0                  7   \n",
              "3           2909                  1       Yes     0                  8   \n",
              "4           3468                  9        No     1                  6   \n",
              "\n",
              "   TrainingTimesLastYear YearsAtCompany  YearsInCurrentRole  \\\n",
              "0                      0              6                   4   \n",
              "1                      3             10                   7   \n",
              "2                      3              0                   0   \n",
              "3                      3              8                   7   \n",
              "4                      3              2                   2   \n",
              "\n",
              "   YearsSinceLastPromotion  YearsWithCurrManager  \n",
              "0                        0                     5  \n",
              "1                        1                     7  \n",
              "2                        0                     0  \n",
              "3                        3                     0  \n",
              "4                        2                     2  \n",
              "\n",
              "[5 rows x 24 columns]"
            ],
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              "      <th></th>\n",
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              "      <td>Male</td>\n",
              "      <td>2</td>\n",
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              "      <td>2090</td>\n",
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              "<p>5 rows × 24 columns</p>\n",
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              "\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-f9233eac-1159-4d5a-9a1a-b0a852e6ad30 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-f9233eac-1159-4d5a-9a1a-b0a852e6ad30');\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",
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              "\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-9186f5d5-c1b0-438a-aa68-68812475d8fe button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "column=['Attrition','OverTime']"
      ],
      "metadata": {
        "id": "jXyURSytluyb"
      },
      "execution_count": 76,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for col in column:\n",
        "  data[col].replace({'Yes':1,'No':0},inplace=True)"
      ],
      "metadata": {
        "id": "ZmZMHdu1k_S3"
      },
      "execution_count": 77,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def col_unique(d):\n",
        "  for col in d:\n",
        "    print(col,\":\",d[col].unique())\n"
      ],
      "metadata": {
        "id": "G1womk1jnmzG"
      },
      "execution_count": 78,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "col_unique(data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iPCI3FiYnq_u",
        "outputId": "17718bea-b83b-4714-ccca-c6347c5382a3"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Age : [41 49 37 33 27 32 59 30 38 36 35 29 31 34 28 22 53 24 21 42 44 46 39 43\n",
            " 50 26 48 55 45 56 23 51 40 54 58 20 25 19 57 52 47 18 60]\n",
            "Attrition : [0 1]\n",
            "BusinessTravel : ['Travel_Rarely' 'Travel_Frequently' 'Non-Travel']\n",
            "Department : ['Cardiology' 'Maternity' 'Neurology']\n",
            "DistanceFromHome : [ 1  8  2  3 24 23 27 16 15 26 19 21  5 11  9  7  6 10  4 25 12 18 29 22\n",
            " 14 20 28 17 13]\n",
            "Education : [2 1 4 3 5]\n",
            "EducationField : ['Life Sciences' 'Other' 'Medical' 'Marketing' 'Technical Degree'\n",
            " 'Human Resources']\n",
            "EnvironmentSatisfaction : [2 3 4 1]\n",
            "Gender : ['Female' 'Male']\n",
            "JobInvolvement : [3 2 4 1]\n",
            "JobLevel : [2 1 3 4 5]\n",
            "JobRole : ['Nurse' 'Other' 'Therapist' 'Administrative' 'Admin']\n",
            "JobSatisfaction : [4 2 3 1]\n",
            "MaritalStatus : ['Single' 'Married' 'Divorced']\n",
            "MonthlyIncome : [ 5993  5130  2090 ... 12742  9071  2836]\n",
            "NumCompaniesWorked : [8 1 6 9 0 4 5 2 7 3]\n",
            "OverTime : [1 0]\n",
            "Shift : [0 1 3 2]\n",
            "TotalWorkingYears : [ 8 10  7  6 12  1 17  5  3 31 13  0 26 24 22  9 19  2 23 14 15  4 29 28\n",
            " 21 25 20 11 16 37 38 30 40 18 36 34 32 33 35 27]\n",
            "TrainingTimesLastYear : [0 3 2 5 1 4 6]\n",
            "YearsAtCompany : [ 6 10  0  8  2  7  1  9  5  4 25  3 12 14 22 15 27 21 17 11 13 37 16 20\n",
            " 40 24 33 19 36 18 29 31 32 34 26 30 23]\n",
            "YearsInCurrentRole : [ 4  7  0  2  5  9  8  3  6 13  1 15 14 16 11 10 12 18 17]\n",
            "YearsSinceLastPromotion : [ 0  1  3  2  7  4  8  6  5 15  9 13 12 10 11 14]\n",
            "YearsWithCurrManager : [ 5  7  0  2  6  8  3 11 17  1  4 12  9 10 15 13 16 14]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        },
        "id": "yiniadgAl1nr",
        "outputId": "72b8bdfe-9dab-4185-ec34-0dae1dbce14b"
      },
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Age  Attrition     BusinessTravel  Department  DistanceFromHome  Education  \\\n",
              "0   41          0      Travel_Rarely  Cardiology                 1          2   \n",
              "1   49          0  Travel_Frequently   Maternity                 8          1   \n",
              "2   37          1      Travel_Rarely   Maternity                 2          2   \n",
              "3   33          0  Travel_Frequently   Maternity                 3          4   \n",
              "4   27          0      Travel_Rarely   Maternity                 2          1   \n",
              "\n",
              "  EducationField  EnvironmentSatisfaction  Gender  JobInvolvement  ...  \\\n",
              "0  Life Sciences                        2  Female               3  ...   \n",
              "1  Life Sciences                        3    Male               2  ...   \n",
              "2          Other                        4    Male               2  ...   \n",
              "3  Life Sciences                        4  Female               3  ...   \n",
              "4        Medical                        1    Male               3  ...   \n",
              "\n",
              "   MonthlyIncome NumCompaniesWorked  OverTime Shift  TotalWorkingYears  \\\n",
              "0           5993                  8         1     0                  8   \n",
              "1           5130                  1         0     1                 10   \n",
              "2           2090                  6         1     0                  7   \n",
              "3           2909                  1         1     0                  8   \n",
              "4           3468                  9         0     1                  6   \n",
              "\n",
              "   TrainingTimesLastYear  YearsAtCompany  YearsInCurrentRole  \\\n",
              "0                      0               6                   4   \n",
              "1                      3              10                   7   \n",
              "2                      3               0                   0   \n",
              "3                      3               8                   7   \n",
              "4                      3               2                   2   \n",
              "\n",
              "   YearsSinceLastPromotion  YearsWithCurrManager  \n",
              "0                        0                     5  \n",
              "1                        1                     7  \n",
              "2                        0                     0  \n",
              "3                        3                     0  \n",
              "4                        2                     2  \n",
              "\n",
              "[5 rows x 24 columns]"
            ],
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              "\n",
              "  <div id=\"df-e8248f6b-451b-4184-a6ae-cf8ac5c3d103\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\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>Age</th>\n",
              "      <th>Attrition</th>\n",
              "      <th>BusinessTravel</th>\n",
              "      <th>Department</th>\n",
              "      <th>DistanceFromHome</th>\n",
              "      <th>Education</th>\n",
              "      <th>EducationField</th>\n",
              "      <th>EnvironmentSatisfaction</th>\n",
              "      <th>Gender</th>\n",
              "      <th>JobInvolvement</th>\n",
              "      <th>...</th>\n",
              "      <th>MonthlyIncome</th>\n",
              "      <th>NumCompaniesWorked</th>\n",
              "      <th>OverTime</th>\n",
              "      <th>Shift</th>\n",
              "      <th>TotalWorkingYears</th>\n",
              "      <th>TrainingTimesLastYear</th>\n",
              "      <th>YearsAtCompany</th>\n",
              "      <th>YearsInCurrentRole</th>\n",
              "      <th>YearsSinceLastPromotion</th>\n",
              "      <th>YearsWithCurrManager</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>41</td>\n",
              "      <td>0</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>Cardiology</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>2</td>\n",
              "      <td>Female</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>5993</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>49</td>\n",
              "      <td>0</td>\n",
              "      <td>Travel_Frequently</td>\n",
              "      <td>Maternity</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>3</td>\n",
              "      <td>Male</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>5130</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>37</td>\n",
              "      <td>1</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>Maternity</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>Other</td>\n",
              "      <td>4</td>\n",
              "      <td>Male</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>2090</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>33</td>\n",
              "      <td>0</td>\n",
              "      <td>Travel_Frequently</td>\n",
              "      <td>Maternity</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>4</td>\n",
              "      <td>Female</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>2909</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>27</td>\n",
              "      <td>0</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>Maternity</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Medical</td>\n",
              "      <td>1</td>\n",
              "      <td>Male</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>3468</td>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 24 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e8248f6b-451b-4184-a6ae-cf8ac5c3d103')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-e8248f6b-451b-4184-a6ae-cf8ac5c3d103 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-e8248f6b-451b-4184-a6ae-cf8ac5c3d103');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-dc4c7bf6-23c3-45d2-b41a-43bd651e23bd\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-dc4c7bf6-23c3-45d2-b41a-43bd651e23bd')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-dc4c7bf6-23c3-45d2-b41a-43bd651e23bd button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.describe().T"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 613
        },
        "id": "A2q-AFyDl4GA",
        "outputId": "6f45492e-1ef7-47a9-d03f-a30805929d7c"
      },
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                          count         mean          std     min      25%  \\\n",
              "Age                      1676.0    36.866348     9.129126    18.0    30.00   \n",
              "Attrition                1676.0     0.118735     0.323573     0.0     0.00   \n",
              "DistanceFromHome         1676.0     9.221957     8.158118     1.0     2.00   \n",
              "Education                1676.0     2.907518     1.025835     1.0     2.00   \n",
              "EnvironmentSatisfaction  1676.0     2.714797     1.097534     1.0     2.00   \n",
              "JobInvolvement           1676.0     2.724940     0.714121     1.0     2.00   \n",
              "JobLevel                 1676.0     2.066826     1.113423     1.0     1.00   \n",
              "JobSatisfaction          1676.0     2.738663     1.104005     1.0     2.00   \n",
              "MonthlyIncome            1676.0  6516.512530  4728.456618  1009.0  2928.25   \n",
              "NumCompaniesWorked       1676.0     2.662291     2.477704     0.0     1.00   \n",
              "OverTime                 1676.0     0.284010     0.451076     0.0     0.00   \n",
              "Shift                    1676.0     0.806086     0.855527     0.0     0.00   \n",
              "TotalWorkingYears        1676.0    11.338902     7.834996     0.0     6.00   \n",
              "TrainingTimesLastYear    1676.0     2.805489     1.288431     0.0     2.00   \n",
              "YearsAtCompany           1676.0     7.033413     6.098991     0.0     3.00   \n",
              "YearsInCurrentRole       1676.0     4.264916     3.627456     0.0     2.00   \n",
              "YearsSinceLastPromotion  1676.0     2.200477     3.229587     0.0     0.00   \n",
              "YearsWithCurrManager     1676.0     4.135442     3.559662     0.0     2.00   \n",
              "\n",
              "                            50%      75%      max  \n",
              "Age                        36.0    43.00     60.0  \n",
              "Attrition                   0.0     0.00      1.0  \n",
              "DistanceFromHome            7.0    14.00     29.0  \n",
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              "EnvironmentSatisfaction     3.0     4.00      4.0  \n",
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              "JobLevel                    2.0     3.00      5.0  \n",
              "JobSatisfaction             3.0     4.00      4.0  \n",
              "MonthlyIncome            4899.0  8380.25  19999.0  \n",
              "NumCompaniesWorked          2.0     4.00      9.0  \n",
              "OverTime                    0.0     1.00      1.0  \n",
              "Shift                       1.0     1.00      3.0  \n",
              "TotalWorkingYears          10.0    15.00     40.0  \n",
              "TrainingTimesLastYear       3.0     3.00      6.0  \n",
              "YearsAtCompany              5.0    10.00     40.0  \n",
              "YearsInCurrentRole          3.0     7.00     18.0  \n",
              "YearsSinceLastPromotion     1.0     3.00     15.0  \n",
              "YearsWithCurrManager        3.0     7.00     17.0  "
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              "      <th></th>\n",
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              "      <th>Age</th>\n",
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              "      <td>43.00</td>\n",
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              "      <th>Attrition</th>\n",
              "      <td>1676.0</td>\n",
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              "      <th>EnvironmentSatisfaction</th>\n",
              "      <td>1676.0</td>\n",
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              "      <th>JobInvolvement</th>\n",
              "      <td>1676.0</td>\n",
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              "      <th>JobLevel</th>\n",
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              "      <td>2.066826</td>\n",
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              "      <td>2.0</td>\n",
              "      <td>3.00</td>\n",
              "      <td>5.0</td>\n",
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              "    <tr>\n",
              "      <th>JobSatisfaction</th>\n",
              "      <td>1676.0</td>\n",
              "      <td>2.738663</td>\n",
              "      <td>1.104005</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.00</td>\n",
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              "      <td>4.00</td>\n",
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              "    <tr>\n",
              "      <th>MonthlyIncome</th>\n",
              "      <td>1676.0</td>\n",
              "      <td>6516.512530</td>\n",
              "      <td>4728.456618</td>\n",
              "      <td>1009.0</td>\n",
              "      <td>2928.25</td>\n",
              "      <td>4899.0</td>\n",
              "      <td>8380.25</td>\n",
              "      <td>19999.0</td>\n",
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              "      <td>2.477704</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>4.00</td>\n",
              "      <td>9.0</td>\n",
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              "    <tr>\n",
              "      <th>OverTime</th>\n",
              "      <td>1676.0</td>\n",
              "      <td>0.284010</td>\n",
              "      <td>0.451076</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.0</td>\n",
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              "      <th>Shift</th>\n",
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              "      <td>0.806086</td>\n",
              "      <td>0.855527</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.00</td>\n",
              "      <td>3.0</td>\n",
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              "    <tr>\n",
              "      <th>TotalWorkingYears</th>\n",
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              "      <td>7.834996</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>TrainingTimesLastYear</th>\n",
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              "      <td>3.00</td>\n",
              "      <td>6.0</td>\n",
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              "      <th>YearsAtCompany</th>\n",
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              "      <td>7.033413</td>\n",
              "      <td>6.098991</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>5.0</td>\n",
              "      <td>10.00</td>\n",
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              "      <td>15.0</td>\n",
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              "      <th>YearsWithCurrManager</th>\n",
              "      <td>1676.0</td>\n",
              "      <td>4.135442</td>\n",
              "      <td>3.559662</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>3.0</td>\n",
              "      <td>7.00</td>\n",
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              "\n",
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            ]
          },
          "metadata": {},
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.corr()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 668
        },
        "id": "cDnn4xHvl8-v",
        "outputId": "ea423181-588f-412f-f379-2a85e9219e75"
      },
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-82-c44ded798807>:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
            "  data.corr()\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                              Age  Attrition  DistanceFromHome  Education  \\\n",
              "Age                      1.000000  -0.239984         -0.010079   0.204655   \n",
              "Attrition               -0.239984   1.000000          0.105580  -0.038843   \n",
              "DistanceFromHome        -0.010079   0.105580          1.000000   0.015937   \n",
              "Education                0.204655  -0.038843          0.015937   1.000000   \n",
              "EnvironmentSatisfaction  0.008945  -0.101278         -0.019730  -0.031925   \n",
              "JobInvolvement           0.034193  -0.166036          0.010281   0.041046   \n",
              "JobLevel                 0.518333  -0.207634         -0.023455   0.093227   \n",
              "JobSatisfaction         -0.015848  -0.081881         -0.004758  -0.003957   \n",
              "MonthlyIncome            0.511378  -0.193527         -0.041201   0.085116   \n",
              "NumCompaniesWorked       0.296045   0.017279         -0.024969   0.126758   \n",
              "OverTime                 0.030970   0.337383          0.038182  -0.025776   \n",
              "Shift                    0.037117  -0.158322          0.029180   0.024451   \n",
              "TotalWorkingYears        0.692512  -0.234182         -0.017663   0.143324   \n",
              "TrainingTimesLastYear   -0.015408  -0.054836         -0.055471  -0.014070   \n",
              "YearsAtCompany           0.319012  -0.201373         -0.007420   0.057461   \n",
              "YearsInCurrentRole       0.222655  -0.207891          0.011448   0.051029   \n",
              "YearsSinceLastPromotion  0.217212  -0.086207         -0.000126   0.045785   \n",
              "YearsWithCurrManager     0.215909  -0.201087          0.000403   0.055096   \n",
              "\n",
              "                         EnvironmentSatisfaction  JobInvolvement  JobLevel  \\\n",
              "Age                                     0.008945        0.034193  0.518333   \n",
              "Attrition                              -0.101278       -0.166036 -0.207634   \n",
              "DistanceFromHome                       -0.019730        0.010281 -0.023455   \n",
              "Education                              -0.031925        0.041046  0.093227   \n",
              "EnvironmentSatisfaction                 1.000000       -0.007220  0.008277   \n",
              "JobInvolvement                         -0.007220        1.000000 -0.013660   \n",
              "JobLevel                                0.008277       -0.013660  1.000000   \n",
              "JobSatisfaction                         0.001518       -0.039738 -0.012497   \n",
              "MonthlyIncome                           0.003372       -0.019240  0.951572   \n",
              "NumCompaniesWorked                      0.012640        0.016303  0.153179   \n",
              "OverTime                                0.076885       -0.014960  0.006171   \n",
              "Shift                                   0.005283        0.025999  0.010478   \n",
              "TotalWorkingYears                       0.000208       -0.001576  0.780929   \n",
              "TrainingTimesLastYear                  -0.017722       -0.031580 -0.004251   \n",
              "YearsAtCompany                         -0.000448       -0.013652  0.532529   \n",
              "YearsInCurrentRole                      0.012241        0.020541  0.387624   \n",
              "YearsSinceLastPromotion                 0.005866       -0.022153  0.343102   \n",
              "YearsWithCurrManager                   -0.012417        0.031574  0.379717   \n",
              "\n",
              "                         JobSatisfaction  MonthlyIncome  NumCompaniesWorked  \\\n",
              "Age                            -0.015848       0.511378            0.296045   \n",
              "Attrition                      -0.081881      -0.193527            0.017279   \n",
              "DistanceFromHome               -0.004758      -0.041201           -0.024969   \n",
              "Education                      -0.003957       0.085116            0.126758   \n",
              "EnvironmentSatisfaction         0.001518       0.003372            0.012640   \n",
              "JobInvolvement                 -0.039738      -0.019240            0.016303   \n",
              "JobLevel                       -0.012497       0.951572            0.153179   \n",
              "JobSatisfaction                 1.000000      -0.016550           -0.067204   \n",
              "MonthlyIncome                  -0.016550       1.000000            0.159062   \n",
              "NumCompaniesWorked             -0.067204       0.159062            1.000000   \n",
              "OverTime                        0.017259       0.011969           -0.016159   \n",
              "Shift                           0.017740       0.005847            0.023164   \n",
              "TotalWorkingYears              -0.021435       0.772938            0.250514   \n",
              "TrainingTimesLastYear          -0.003440      -0.009690           -0.056122   \n",
              "YearsAtCompany                  0.005376       0.513977           -0.108807   \n",
              "YearsInCurrentRole             -0.001337       0.364152           -0.080578   \n",
              "YearsSinceLastPromotion        -0.013595       0.337241           -0.025033   \n",
              "YearsWithCurrManager           -0.023042       0.350122           -0.093030   \n",
              "\n",
              "                         OverTime     Shift  TotalWorkingYears  \\\n",
              "Age                      0.030970  0.037117           0.692512   \n",
              "Attrition                0.337383 -0.158322          -0.234182   \n",
              "DistanceFromHome         0.038182  0.029180          -0.017663   \n",
              "Education               -0.025776  0.024451           0.143324   \n",
              "EnvironmentSatisfaction  0.076885  0.005283           0.000208   \n",
              "JobInvolvement          -0.014960  0.025999          -0.001576   \n",
              "JobLevel                 0.006171  0.010478           0.780929   \n",
              "JobSatisfaction          0.017259  0.017740          -0.021435   \n",
              "MonthlyIncome            0.011969  0.005847           0.772938   \n",
              "NumCompaniesWorked      -0.016159  0.023164           0.250514   \n",
              "OverTime                 1.000000  0.009751           0.019880   \n",
              "Shift                    0.009751  1.000000           0.009632   \n",
              "TotalWorkingYears        0.019880  0.009632           1.000000   \n",
              "TrainingTimesLastYear   -0.080549  0.025881          -0.026171   \n",
              "YearsAtCompany          -0.018642  0.013028           0.622495   \n",
              "YearsInCurrentRole      -0.042361  0.039263           0.457439   \n",
              "YearsSinceLastPromotion -0.027633  0.011702           0.394941   \n",
              "YearsWithCurrManager    -0.049998  0.014314           0.461688   \n",
              "\n",
              "                         TrainingTimesLastYear  YearsAtCompany  \\\n",
              "Age                                  -0.015408        0.319012   \n",
              "Attrition                            -0.054836       -0.201373   \n",
              "DistanceFromHome                     -0.055471       -0.007420   \n",
              "Education                            -0.014070        0.057461   \n",
              "EnvironmentSatisfaction              -0.017722       -0.000448   \n",
              "JobInvolvement                       -0.031580       -0.013652   \n",
              "JobLevel                             -0.004251        0.532529   \n",
              "JobSatisfaction                      -0.003440        0.005376   \n",
              "MonthlyIncome                        -0.009690        0.513977   \n",
              "NumCompaniesWorked                   -0.056122       -0.108807   \n",
              "OverTime                             -0.080549       -0.018642   \n",
              "Shift                                 0.025881        0.013028   \n",
              "TotalWorkingYears                    -0.026171        0.622495   \n",
              "TrainingTimesLastYear                 1.000000        0.001739   \n",
              "YearsAtCompany                        0.001739        1.000000   \n",
              "YearsInCurrentRole                   -0.007362        0.759421   \n",
              "YearsSinceLastPromotion              -0.008844        0.616915   \n",
              "YearsWithCurrManager                 -0.005057        0.771224   \n",
              "\n",
              "                         YearsInCurrentRole  YearsSinceLastPromotion  \\\n",
              "Age                                0.222655                 0.217212   \n",
              "Attrition                         -0.207891                -0.086207   \n",
              "DistanceFromHome                   0.011448                -0.000126   \n",
              "Education                          0.051029                 0.045785   \n",
              "EnvironmentSatisfaction            0.012241                 0.005866   \n",
              "JobInvolvement                     0.020541                -0.022153   \n",
              "JobLevel                           0.387624                 0.343102   \n",
              "JobSatisfaction                   -0.001337                -0.013595   \n",
              "MonthlyIncome                      0.364152                 0.337241   \n",
              "NumCompaniesWorked                -0.080578                -0.025033   \n",
              "OverTime                          -0.042361                -0.027633   \n",
              "Shift                              0.039263                 0.011702   \n",
              "TotalWorkingYears                  0.457439                 0.394941   \n",
              "TrainingTimesLastYear             -0.007362                -0.008844   \n",
              "YearsAtCompany                     0.759421                 0.616915   \n",
              "YearsInCurrentRole                 1.000000                 0.548235   \n",
              "YearsSinceLastPromotion            0.548235                 1.000000   \n",
              "YearsWithCurrManager               0.721543                 0.518664   \n",
              "\n",
              "                         YearsWithCurrManager  \n",
              "Age                                  0.215909  \n",
              "Attrition                           -0.201087  \n",
              "DistanceFromHome                     0.000403  \n",
              "Education                            0.055096  \n",
              "EnvironmentSatisfaction             -0.012417  \n",
              "JobInvolvement                       0.031574  \n",
              "JobLevel                             0.379717  \n",
              "JobSatisfaction                     -0.023042  \n",
              "MonthlyIncome                        0.350122  \n",
              "NumCompaniesWorked                  -0.093030  \n",
              "OverTime                            -0.049998  \n",
              "Shift                                0.014314  \n",
              "TotalWorkingYears                    0.461688  \n",
              "TrainingTimesLastYear               -0.005057  \n",
              "YearsAtCompany                       0.771224  \n",
              "YearsInCurrentRole                   0.721543  \n",
              "YearsSinceLastPromotion              0.518664  \n",
              "YearsWithCurrManager                 1.000000  "
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Age</th>\n",
              "      <th>Attrition</th>\n",
              "      <th>DistanceFromHome</th>\n",
              "      <th>Education</th>\n",
              "      <th>EnvironmentSatisfaction</th>\n",
              "      <th>JobInvolvement</th>\n",
              "      <th>JobLevel</th>\n",
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              "      <th>YearsSinceLastPromotion</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Age</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.239984</td>\n",
              "      <td>-0.010079</td>\n",
              "      <td>0.204655</td>\n",
              "      <td>0.008945</td>\n",
              "      <td>0.034193</td>\n",
              "      <td>0.518333</td>\n",
              "      <td>-0.015848</td>\n",
              "      <td>0.511378</td>\n",
              "      <td>0.296045</td>\n",
              "      <td>0.030970</td>\n",
              "      <td>0.037117</td>\n",
              "      <td>0.692512</td>\n",
              "      <td>-0.015408</td>\n",
              "      <td>0.319012</td>\n",
              "      <td>0.222655</td>\n",
              "      <td>0.217212</td>\n",
              "      <td>0.215909</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Attrition</th>\n",
              "      <td>-0.239984</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.105580</td>\n",
              "      <td>-0.038843</td>\n",
              "      <td>-0.101278</td>\n",
              "      <td>-0.166036</td>\n",
              "      <td>-0.207634</td>\n",
              "      <td>-0.081881</td>\n",
              "      <td>-0.193527</td>\n",
              "      <td>0.017279</td>\n",
              "      <td>0.337383</td>\n",
              "      <td>-0.158322</td>\n",
              "      <td>-0.234182</td>\n",
              "      <td>-0.054836</td>\n",
              "      <td>-0.201373</td>\n",
              "      <td>-0.207891</td>\n",
              "      <td>-0.086207</td>\n",
              "      <td>-0.201087</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DistanceFromHome</th>\n",
              "      <td>-0.010079</td>\n",
              "      <td>0.105580</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.015937</td>\n",
              "      <td>-0.019730</td>\n",
              "      <td>0.010281</td>\n",
              "      <td>-0.023455</td>\n",
              "      <td>-0.004758</td>\n",
              "      <td>-0.041201</td>\n",
              "      <td>-0.024969</td>\n",
              "      <td>0.038182</td>\n",
              "      <td>0.029180</td>\n",
              "      <td>-0.017663</td>\n",
              "      <td>-0.055471</td>\n",
              "      <td>-0.007420</td>\n",
              "      <td>0.011448</td>\n",
              "      <td>-0.000126</td>\n",
              "      <td>0.000403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Education</th>\n",
              "      <td>0.204655</td>\n",
              "      <td>-0.038843</td>\n",
              "      <td>0.015937</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.031925</td>\n",
              "      <td>0.041046</td>\n",
              "      <td>0.093227</td>\n",
              "      <td>-0.003957</td>\n",
              "      <td>0.085116</td>\n",
              "      <td>0.126758</td>\n",
              "      <td>-0.025776</td>\n",
              "      <td>0.024451</td>\n",
              "      <td>0.143324</td>\n",
              "      <td>-0.014070</td>\n",
              "      <td>0.057461</td>\n",
              "      <td>0.051029</td>\n",
              "      <td>0.045785</td>\n",
              "      <td>0.055096</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EnvironmentSatisfaction</th>\n",
              "      <td>0.008945</td>\n",
              "      <td>-0.101278</td>\n",
              "      <td>-0.019730</td>\n",
              "      <td>-0.031925</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.007220</td>\n",
              "      <td>0.008277</td>\n",
              "      <td>0.001518</td>\n",
              "      <td>0.003372</td>\n",
              "      <td>0.012640</td>\n",
              "      <td>0.076885</td>\n",
              "      <td>0.005283</td>\n",
              "      <td>0.000208</td>\n",
              "      <td>-0.017722</td>\n",
              "      <td>-0.000448</td>\n",
              "      <td>0.012241</td>\n",
              "      <td>0.005866</td>\n",
              "      <td>-0.012417</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>JobInvolvement</th>\n",
              "      <td>0.034193</td>\n",
              "      <td>-0.166036</td>\n",
              "      <td>0.010281</td>\n",
              "      <td>0.041046</td>\n",
              "      <td>-0.007220</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.013660</td>\n",
              "      <td>-0.039738</td>\n",
              "      <td>-0.019240</td>\n",
              "      <td>0.016303</td>\n",
              "      <td>-0.014960</td>\n",
              "      <td>0.025999</td>\n",
              "      <td>-0.001576</td>\n",
              "      <td>-0.031580</td>\n",
              "      <td>-0.013652</td>\n",
              "      <td>0.020541</td>\n",
              "      <td>-0.022153</td>\n",
              "      <td>0.031574</td>\n",
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              "    <tr>\n",
              "      <th>JobLevel</th>\n",
              "      <td>0.518333</td>\n",
              "      <td>-0.207634</td>\n",
              "      <td>-0.023455</td>\n",
              "      <td>0.093227</td>\n",
              "      <td>0.008277</td>\n",
              "      <td>-0.013660</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.012497</td>\n",
              "      <td>0.951572</td>\n",
              "      <td>0.153179</td>\n",
              "      <td>0.006171</td>\n",
              "      <td>0.010478</td>\n",
              "      <td>0.780929</td>\n",
              "      <td>-0.004251</td>\n",
              "      <td>0.532529</td>\n",
              "      <td>0.387624</td>\n",
              "      <td>0.343102</td>\n",
              "      <td>0.379717</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>JobSatisfaction</th>\n",
              "      <td>-0.015848</td>\n",
              "      <td>-0.081881</td>\n",
              "      <td>-0.004758</td>\n",
              "      <td>-0.003957</td>\n",
              "      <td>0.001518</td>\n",
              "      <td>-0.039738</td>\n",
              "      <td>-0.012497</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.016550</td>\n",
              "      <td>-0.067204</td>\n",
              "      <td>0.017259</td>\n",
              "      <td>0.017740</td>\n",
              "      <td>-0.021435</td>\n",
              "      <td>-0.003440</td>\n",
              "      <td>0.005376</td>\n",
              "      <td>-0.001337</td>\n",
              "      <td>-0.013595</td>\n",
              "      <td>-0.023042</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MonthlyIncome</th>\n",
              "      <td>0.511378</td>\n",
              "      <td>-0.193527</td>\n",
              "      <td>-0.041201</td>\n",
              "      <td>0.085116</td>\n",
              "      <td>0.003372</td>\n",
              "      <td>-0.019240</td>\n",
              "      <td>0.951572</td>\n",
              "      <td>-0.016550</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.159062</td>\n",
              "      <td>0.011969</td>\n",
              "      <td>0.005847</td>\n",
              "      <td>0.772938</td>\n",
              "      <td>-0.009690</td>\n",
              "      <td>0.513977</td>\n",
              "      <td>0.364152</td>\n",
              "      <td>0.337241</td>\n",
              "      <td>0.350122</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NumCompaniesWorked</th>\n",
              "      <td>0.296045</td>\n",
              "      <td>0.017279</td>\n",
              "      <td>-0.024969</td>\n",
              "      <td>0.126758</td>\n",
              "      <td>0.012640</td>\n",
              "      <td>0.016303</td>\n",
              "      <td>0.153179</td>\n",
              "      <td>-0.067204</td>\n",
              "      <td>0.159062</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.016159</td>\n",
              "      <td>0.023164</td>\n",
              "      <td>0.250514</td>\n",
              "      <td>-0.056122</td>\n",
              "      <td>-0.108807</td>\n",
              "      <td>-0.080578</td>\n",
              "      <td>-0.025033</td>\n",
              "      <td>-0.093030</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OverTime</th>\n",
              "      <td>0.030970</td>\n",
              "      <td>0.337383</td>\n",
              "      <td>0.038182</td>\n",
              "      <td>-0.025776</td>\n",
              "      <td>0.076885</td>\n",
              "      <td>-0.014960</td>\n",
              "      <td>0.006171</td>\n",
              "      <td>0.017259</td>\n",
              "      <td>0.011969</td>\n",
              "      <td>-0.016159</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.009751</td>\n",
              "      <td>0.019880</td>\n",
              "      <td>-0.080549</td>\n",
              "      <td>-0.018642</td>\n",
              "      <td>-0.042361</td>\n",
              "      <td>-0.027633</td>\n",
              "      <td>-0.049998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Shift</th>\n",
              "      <td>0.037117</td>\n",
              "      <td>-0.158322</td>\n",
              "      <td>0.029180</td>\n",
              "      <td>0.024451</td>\n",
              "      <td>0.005283</td>\n",
              "      <td>0.025999</td>\n",
              "      <td>0.010478</td>\n",
              "      <td>0.017740</td>\n",
              "      <td>0.005847</td>\n",
              "      <td>0.023164</td>\n",
              "      <td>0.009751</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.009632</td>\n",
              "      <td>0.025881</td>\n",
              "      <td>0.013028</td>\n",
              "      <td>0.039263</td>\n",
              "      <td>0.011702</td>\n",
              "      <td>0.014314</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TotalWorkingYears</th>\n",
              "      <td>0.692512</td>\n",
              "      <td>-0.234182</td>\n",
              "      <td>-0.017663</td>\n",
              "      <td>0.143324</td>\n",
              "      <td>0.000208</td>\n",
              "      <td>-0.001576</td>\n",
              "      <td>0.780929</td>\n",
              "      <td>-0.021435</td>\n",
              "      <td>0.772938</td>\n",
              "      <td>0.250514</td>\n",
              "      <td>0.019880</td>\n",
              "      <td>0.009632</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.026171</td>\n",
              "      <td>0.622495</td>\n",
              "      <td>0.457439</td>\n",
              "      <td>0.394941</td>\n",
              "      <td>0.461688</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TrainingTimesLastYear</th>\n",
              "      <td>-0.015408</td>\n",
              "      <td>-0.054836</td>\n",
              "      <td>-0.055471</td>\n",
              "      <td>-0.014070</td>\n",
              "      <td>-0.017722</td>\n",
              "      <td>-0.031580</td>\n",
              "      <td>-0.004251</td>\n",
              "      <td>-0.003440</td>\n",
              "      <td>-0.009690</td>\n",
              "      <td>-0.056122</td>\n",
              "      <td>-0.080549</td>\n",
              "      <td>0.025881</td>\n",
              "      <td>-0.026171</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.001739</td>\n",
              "      <td>-0.007362</td>\n",
              "      <td>-0.008844</td>\n",
              "      <td>-0.005057</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>YearsAtCompany</th>\n",
              "      <td>0.319012</td>\n",
              "      <td>-0.201373</td>\n",
              "      <td>-0.007420</td>\n",
              "      <td>0.057461</td>\n",
              "      <td>-0.000448</td>\n",
              "      <td>-0.013652</td>\n",
              "      <td>0.532529</td>\n",
              "      <td>0.005376</td>\n",
              "      <td>0.513977</td>\n",
              "      <td>-0.108807</td>\n",
              "      <td>-0.018642</td>\n",
              "      <td>0.013028</td>\n",
              "      <td>0.622495</td>\n",
              "      <td>0.001739</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.759421</td>\n",
              "      <td>0.616915</td>\n",
              "      <td>0.771224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>YearsInCurrentRole</th>\n",
              "      <td>0.222655</td>\n",
              "      <td>-0.207891</td>\n",
              "      <td>0.011448</td>\n",
              "      <td>0.051029</td>\n",
              "      <td>0.012241</td>\n",
              "      <td>0.020541</td>\n",
              "      <td>0.387624</td>\n",
              "      <td>-0.001337</td>\n",
              "      <td>0.364152</td>\n",
              "      <td>-0.080578</td>\n",
              "      <td>-0.042361</td>\n",
              "      <td>0.039263</td>\n",
              "      <td>0.457439</td>\n",
              "      <td>-0.007362</td>\n",
              "      <td>0.759421</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.548235</td>\n",
              "      <td>0.721543</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>YearsSinceLastPromotion</th>\n",
              "      <td>0.217212</td>\n",
              "      <td>-0.086207</td>\n",
              "      <td>-0.000126</td>\n",
              "      <td>0.045785</td>\n",
              "      <td>0.005866</td>\n",
              "      <td>-0.022153</td>\n",
              "      <td>0.343102</td>\n",
              "      <td>-0.013595</td>\n",
              "      <td>0.337241</td>\n",
              "      <td>-0.025033</td>\n",
              "      <td>-0.027633</td>\n",
              "      <td>0.011702</td>\n",
              "      <td>0.394941</td>\n",
              "      <td>-0.008844</td>\n",
              "      <td>0.616915</td>\n",
              "      <td>0.548235</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.518664</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>YearsWithCurrManager</th>\n",
              "      <td>0.215909</td>\n",
              "      <td>-0.201087</td>\n",
              "      <td>0.000403</td>\n",
              "      <td>0.055096</td>\n",
              "      <td>-0.012417</td>\n",
              "      <td>0.031574</td>\n",
              "      <td>0.379717</td>\n",
              "      <td>-0.023042</td>\n",
              "      <td>0.350122</td>\n",
              "      <td>-0.093030</td>\n",
              "      <td>-0.049998</td>\n",
              "      <td>0.014314</td>\n",
              "      <td>0.461688</td>\n",
              "      <td>-0.005057</td>\n",
              "      <td>0.771224</td>\n",
              "      <td>0.721543</td>\n",
              "      <td>0.518664</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "  <style>\n",
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              "      display:flex;\n",
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              "  </style>\n",
              "\n",
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              "        document.querySelector('#df-b3e4e0c4-2af0-460d-a342-b00203cdd420 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-b3e4e0c4-2af0-460d-a342-b00203cdd420');\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",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-b056b76d-1500-412e-b619-34a0c84e2e15\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b056b76d-1500-412e-b619-34a0c84e2e15')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
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              "    border: none;\n",
              "    border-radius: 50%;\n",
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              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-b056b76d-1500-412e-b619-34a0c84e2e15 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#  data.drop('PercentSalaryHike',inplace=True,axis=1)"
      ],
      "metadata": {
        "id": "PTdRxhH1pQ7I"
      },
      "execution_count": 83,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#  data.drop('PerformanceRating',inplace=True,axis=1)"
      ],
      "metadata": {
        "id": "zOHyiIMjqyVX"
      },
      "execution_count": 84,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data['Gender'].replace({'Male':1,'Female':0},inplace=True)"
      ],
      "metadata": {
        "id": "F5j4dTdKvKo0"
      },
      "execution_count": 85,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cols= ['BusinessTravel','Department','EducationField','MaritalStatus','JobRole']"
      ],
      "metadata": {
        "id": "EWYGW7-Oz_hd"
      },
      "execution_count": 86,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data=pd.get_dummies(data=data,columns=cols)"
      ],
      "metadata": {
        "id": "YJnA1HOH0Ijl"
      },
      "execution_count": 87,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 273
        },
        "id": "Lqvu2nhewJnh",
        "outputId": "51c28e33-a38c-4586-c5aa-c8cfd094383b"
      },
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Age  Attrition  DistanceFromHome  Education  EnvironmentSatisfaction  \\\n",
              "0   41          0                 1          2                        2   \n",
              "1   49          0                 8          1                        3   \n",
              "2   37          1                 2          2                        4   \n",
              "3   33          0                 3          4                        4   \n",
              "4   27          0                 2          1                        1   \n",
              "\n",
              "   Gender  JobInvolvement  JobLevel  JobSatisfaction  MonthlyIncome  ...  \\\n",
              "0       0               3         2                4           5993  ...   \n",
              "1       1               2         2                2           5130  ...   \n",
              "2       1               2         1                3           2090  ...   \n",
              "3       0               3         1                3           2909  ...   \n",
              "4       1               3         1                2           3468  ...   \n",
              "\n",
              "   EducationField_Other  EducationField_Technical Degree  \\\n",
              "0                     0                                0   \n",
              "1                     0                                0   \n",
              "2                     1                                0   \n",
              "3                     0                                0   \n",
              "4                     0                                0   \n",
              "\n",
              "   MaritalStatus_Divorced  MaritalStatus_Married  MaritalStatus_Single  \\\n",
              "0                       0                      0                     1   \n",
              "1                       0                      1                     0   \n",
              "2                       0                      0                     1   \n",
              "3                       0                      1                     0   \n",
              "4                       0                      1                     0   \n",
              "\n",
              "   JobRole_Admin  JobRole_Administrative  JobRole_Nurse  JobRole_Other  \\\n",
              "0              0                       0              1              0   \n",
              "1              0                       0              0              1   \n",
              "2              0                       0              1              0   \n",
              "3              0                       0              0              1   \n",
              "4              0                       0              1              0   \n",
              "\n",
              "   JobRole_Therapist  \n",
              "0                  0  \n",
              "1                  0  \n",
              "2                  0  \n",
              "3                  0  \n",
              "4                  0  \n",
              "\n",
              "[5 rows x 39 columns]"
            ],
            "text/html": [
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              "      <th>JobRole_Admin</th>\n",
              "      <th>JobRole_Administrative</th>\n",
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              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>5130</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>37</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2090</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>33</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2909</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>27</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3468</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 39 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-421644ec-afd3-4485-8c22-2e4967a6a077')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-421644ec-afd3-4485-8c22-2e4967a6a077 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-421644ec-afd3-4485-8c22-2e4967a6a077');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-23e82bbf-be3e-4db6-a73a-b0d730db961d\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-23e82bbf-be3e-4db6-a73a-b0d730db961d')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-23e82bbf-be3e-4db6-a73a-b0d730db961d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 88
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H36VS6lr9Cjh",
        "outputId": "e0fab690-f0b6-4d76-aca9-3de296eefae1"
      },
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1676 entries, 0 to 1675\n",
            "Data columns (total 39 columns):\n",
            " #   Column                            Non-Null Count  Dtype\n",
            "---  ------                            --------------  -----\n",
            " 0   Age                               1676 non-null   int64\n",
            " 1   Attrition                         1676 non-null   int64\n",
            " 2   DistanceFromHome                  1676 non-null   int64\n",
            " 3   Education                         1676 non-null   int64\n",
            " 4   EnvironmentSatisfaction           1676 non-null   int64\n",
            " 5   Gender                            1676 non-null   int64\n",
            " 6   JobInvolvement                    1676 non-null   int64\n",
            " 7   JobLevel                          1676 non-null   int64\n",
            " 8   JobSatisfaction                   1676 non-null   int64\n",
            " 9   MonthlyIncome                     1676 non-null   int64\n",
            " 10  NumCompaniesWorked                1676 non-null   int64\n",
            " 11  OverTime                          1676 non-null   int64\n",
            " 12  Shift                             1676 non-null   int64\n",
            " 13  TotalWorkingYears                 1676 non-null   int64\n",
            " 14  TrainingTimesLastYear             1676 non-null   int64\n",
            " 15  YearsAtCompany                    1676 non-null   int64\n",
            " 16  YearsInCurrentRole                1676 non-null   int64\n",
            " 17  YearsSinceLastPromotion           1676 non-null   int64\n",
            " 18  YearsWithCurrManager              1676 non-null   int64\n",
            " 19  BusinessTravel_Non-Travel         1676 non-null   uint8\n",
            " 20  BusinessTravel_Travel_Frequently  1676 non-null   uint8\n",
            " 21  BusinessTravel_Travel_Rarely      1676 non-null   uint8\n",
            " 22  Department_Cardiology             1676 non-null   uint8\n",
            " 23  Department_Maternity              1676 non-null   uint8\n",
            " 24  Department_Neurology              1676 non-null   uint8\n",
            " 25  EducationField_Human Resources    1676 non-null   uint8\n",
            " 26  EducationField_Life Sciences      1676 non-null   uint8\n",
            " 27  EducationField_Marketing          1676 non-null   uint8\n",
            " 28  EducationField_Medical            1676 non-null   uint8\n",
            " 29  EducationField_Other              1676 non-null   uint8\n",
            " 30  EducationField_Technical Degree   1676 non-null   uint8\n",
            " 31  MaritalStatus_Divorced            1676 non-null   uint8\n",
            " 32  MaritalStatus_Married             1676 non-null   uint8\n",
            " 33  MaritalStatus_Single              1676 non-null   uint8\n",
            " 34  JobRole_Admin                     1676 non-null   uint8\n",
            " 35  JobRole_Administrative            1676 non-null   uint8\n",
            " 36  JobRole_Nurse                     1676 non-null   uint8\n",
            " 37  JobRole_Other                     1676 non-null   uint8\n",
            " 38  JobRole_Therapist                 1676 non-null   uint8\n",
            "dtypes: int64(19), uint8(20)\n",
            "memory usage: 281.6 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "col_unique(data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XC7c7-nB0TZD",
        "outputId": "9ef2664f-46d9-4ab5-c1a1-2c3f8181e34b"
      },
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Age : [41 49 37 33 27 32 59 30 38 36 35 29 31 34 28 22 53 24 21 42 44 46 39 43\n",
            " 50 26 48 55 45 56 23 51 40 54 58 20 25 19 57 52 47 18 60]\n",
            "Attrition : [0 1]\n",
            "DistanceFromHome : [ 1  8  2  3 24 23 27 16 15 26 19 21  5 11  9  7  6 10  4 25 12 18 29 22\n",
            " 14 20 28 17 13]\n",
            "Education : [2 1 4 3 5]\n",
            "EnvironmentSatisfaction : [2 3 4 1]\n",
            "Gender : [0 1]\n",
            "JobInvolvement : [3 2 4 1]\n",
            "JobLevel : [2 1 3 4 5]\n",
            "JobSatisfaction : [4 2 3 1]\n",
            "MonthlyIncome : [ 5993  5130  2090 ... 12742  9071  2836]\n",
            "NumCompaniesWorked : [8 1 6 9 0 4 5 2 7 3]\n",
            "OverTime : [1 0]\n",
            "Shift : [0 1 3 2]\n",
            "TotalWorkingYears : [ 8 10  7  6 12  1 17  5  3 31 13  0 26 24 22  9 19  2 23 14 15  4 29 28\n",
            " 21 25 20 11 16 37 38 30 40 18 36 34 32 33 35 27]\n",
            "TrainingTimesLastYear : [0 3 2 5 1 4 6]\n",
            "YearsAtCompany : [ 6 10  0  8  2  7  1  9  5  4 25  3 12 14 22 15 27 21 17 11 13 37 16 20\n",
            " 40 24 33 19 36 18 29 31 32 34 26 30 23]\n",
            "YearsInCurrentRole : [ 4  7  0  2  5  9  8  3  6 13  1 15 14 16 11 10 12 18 17]\n",
            "YearsSinceLastPromotion : [ 0  1  3  2  7  4  8  6  5 15  9 13 12 10 11 14]\n",
            "YearsWithCurrManager : [ 5  7  0  2  6  8  3 11 17  1  4 12  9 10 15 13 16 14]\n",
            "BusinessTravel_Non-Travel : [0 1]\n",
            "BusinessTravel_Travel_Frequently : [0 1]\n",
            "BusinessTravel_Travel_Rarely : [1 0]\n",
            "Department_Cardiology : [1 0]\n",
            "Department_Maternity : [0 1]\n",
            "Department_Neurology : [0 1]\n",
            "EducationField_Human Resources : [0 1]\n",
            "EducationField_Life Sciences : [1 0]\n",
            "EducationField_Marketing : [0 1]\n",
            "EducationField_Medical : [0 1]\n",
            "EducationField_Other : [0 1]\n",
            "EducationField_Technical Degree : [0 1]\n",
            "MaritalStatus_Divorced : [0 1]\n",
            "MaritalStatus_Married : [0 1]\n",
            "MaritalStatus_Single : [1 0]\n",
            "JobRole_Admin : [0 1]\n",
            "JobRole_Administrative : [0 1]\n",
            "JobRole_Nurse : [1 0]\n",
            "JobRole_Other : [0 1]\n",
            "JobRole_Therapist : [0 1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "columns_to_scale = ['Age','DistanceFromHome','Education','EnvironmentSatisfaction','JobInvolvement','JobLevel','JobSatisfaction','MonthlyIncome','NumCompaniesWorked','Shift','TotalWorkingYears','TrainingTimesLastYear','YearsAtCompany','YearsInCurrentRole','YearsSinceLastPromotion','YearsWithCurrManager']\n",
        "scaler=MinMaxScaler()\n",
        "data[columns_to_scale] = scaler.fit_transform(data[columns_to_scale])"
      ],
      "metadata": {
        "id": "9sR3HLaK8nuW"
      },
      "execution_count": 91,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "col_unique(data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7hThrQRn_DZH",
        "outputId": "efc47353-1d68-4ede-ffef-2b695c5ef392"
      },
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Age : [0.54761905 0.73809524 0.45238095 0.35714286 0.21428571 0.33333333\n",
            " 0.97619048 0.28571429 0.47619048 0.42857143 0.4047619  0.26190476\n",
            " 0.30952381 0.38095238 0.23809524 0.0952381  0.83333333 0.14285714\n",
            " 0.07142857 0.57142857 0.61904762 0.66666667 0.5        0.5952381\n",
            " 0.76190476 0.19047619 0.71428571 0.88095238 0.64285714 0.9047619\n",
            " 0.11904762 0.78571429 0.52380952 0.85714286 0.95238095 0.04761905\n",
            " 0.16666667 0.02380952 0.92857143 0.80952381 0.69047619 0.\n",
            " 1.        ]\n",
            "Attrition : [0 1]\n",
            "DistanceFromHome : [0.         0.25       0.03571429 0.07142857 0.82142857 0.78571429\n",
            " 0.92857143 0.53571429 0.5        0.89285714 0.64285714 0.71428571\n",
            " 0.14285714 0.35714286 0.28571429 0.21428571 0.17857143 0.32142857\n",
            " 0.10714286 0.85714286 0.39285714 0.60714286 1.         0.75\n",
            " 0.46428571 0.67857143 0.96428571 0.57142857 0.42857143]\n",
            "Education : [0.25 0.   0.75 0.5  1.  ]\n",
            "EnvironmentSatisfaction : [0.33333333 0.66666667 1.         0.        ]\n",
            "Gender : [0 1]\n",
            "JobInvolvement : [0.66666667 0.33333333 1.         0.        ]\n",
            "JobLevel : [0.25 0.   0.5  0.75 1.  ]\n",
            "JobSatisfaction : [1.         0.33333333 0.66666667 0.        ]\n",
            "MonthlyIncome : [0.26245392 0.21700895 0.0569247  ... 0.6178515  0.42453923 0.09620853]\n",
            "NumCompaniesWorked : [0.88888889 0.11111111 0.66666667 1.         0.         0.44444444\n",
            " 0.55555556 0.22222222 0.77777778 0.33333333]\n",
            "OverTime : [1 0]\n",
            "Shift : [0.         0.33333333 1.         0.66666667]\n",
            "TotalWorkingYears : [0.2   0.25  0.175 0.15  0.3   0.025 0.425 0.125 0.075 0.775 0.325 0.\n",
            " 0.65  0.6   0.55  0.225 0.475 0.05  0.575 0.35  0.375 0.1   0.725 0.7\n",
            " 0.525 0.625 0.5   0.275 0.4   0.925 0.95  0.75  1.    0.45  0.9   0.85\n",
            " 0.8   0.825 0.875 0.675]\n",
            "TrainingTimesLastYear : [0.         0.5        0.33333333 0.83333333 0.16666667 0.66666667\n",
            " 1.        ]\n",
            "YearsAtCompany : [0.15  0.25  0.    0.2   0.05  0.175 0.025 0.225 0.125 0.1   0.625 0.075\n",
            " 0.3   0.35  0.55  0.375 0.675 0.525 0.425 0.275 0.325 0.925 0.4   0.5\n",
            " 1.    0.6   0.825 0.475 0.9   0.45  0.725 0.775 0.8   0.85  0.65  0.75\n",
            " 0.575]\n",
            "YearsInCurrentRole : [0.22222222 0.38888889 0.         0.11111111 0.27777778 0.5\n",
            " 0.44444444 0.16666667 0.33333333 0.72222222 0.05555556 0.83333333\n",
            " 0.77777778 0.88888889 0.61111111 0.55555556 0.66666667 1.\n",
            " 0.94444444]\n",
            "YearsSinceLastPromotion : [0.         0.06666667 0.2        0.13333333 0.46666667 0.26666667\n",
            " 0.53333333 0.4        0.33333333 1.         0.6        0.86666667\n",
            " 0.8        0.66666667 0.73333333 0.93333333]\n",
            "YearsWithCurrManager : [0.29411765 0.41176471 0.         0.11764706 0.35294118 0.47058824\n",
            " 0.17647059 0.64705882 1.         0.05882353 0.23529412 0.70588235\n",
            " 0.52941176 0.58823529 0.88235294 0.76470588 0.94117647 0.82352941]\n",
            "BusinessTravel_Non-Travel : [0 1]\n",
            "BusinessTravel_Travel_Frequently : [0 1]\n",
            "BusinessTravel_Travel_Rarely : [1 0]\n",
            "Department_Cardiology : [1 0]\n",
            "Department_Maternity : [0 1]\n",
            "Department_Neurology : [0 1]\n",
            "EducationField_Human Resources : [0 1]\n",
            "EducationField_Life Sciences : [1 0]\n",
            "EducationField_Marketing : [0 1]\n",
            "EducationField_Medical : [0 1]\n",
            "EducationField_Other : [0 1]\n",
            "EducationField_Technical Degree : [0 1]\n",
            "MaritalStatus_Divorced : [0 1]\n",
            "MaritalStatus_Married : [0 1]\n",
            "MaritalStatus_Single : [1 0]\n",
            "JobRole_Admin : [0 1]\n",
            "JobRole_Administrative : [0 1]\n",
            "JobRole_Nurse : [1 0]\n",
            "JobRole_Other : [0 1]\n",
            "JobRole_Therapist : [0 1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X=data.drop('Attrition', axis= 'columns')\n",
        "y=data['Attrition']"
      ],
      "metadata": {
        "id": "GB0b5Ce1wMhG"
      },
      "execution_count": 93,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "j647FYZiwquf",
        "outputId": "13dbb399-9ccf-445f-a801-0a3e430098ef"
      },
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1676, 38)"
            ]
          },
          "metadata": {},
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5aiKGWpVwxYA",
        "outputId": "338e3055-7aa8-4740-e738-0a2926133766"
      },
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1676 entries, 0 to 1675\n",
            "Data columns (total 38 columns):\n",
            " #   Column                            Non-Null Count  Dtype  \n",
            "---  ------                            --------------  -----  \n",
            " 0   Age                               1676 non-null   float64\n",
            " 1   DistanceFromHome                  1676 non-null   float64\n",
            " 2   Education                         1676 non-null   float64\n",
            " 3   EnvironmentSatisfaction           1676 non-null   float64\n",
            " 4   Gender                            1676 non-null   int64  \n",
            " 5   JobInvolvement                    1676 non-null   float64\n",
            " 6   JobLevel                          1676 non-null   float64\n",
            " 7   JobSatisfaction                   1676 non-null   float64\n",
            " 8   MonthlyIncome                     1676 non-null   float64\n",
            " 9   NumCompaniesWorked                1676 non-null   float64\n",
            " 10  OverTime                          1676 non-null   int64  \n",
            " 11  Shift                             1676 non-null   float64\n",
            " 12  TotalWorkingYears                 1676 non-null   float64\n",
            " 13  TrainingTimesLastYear             1676 non-null   float64\n",
            " 14  YearsAtCompany                    1676 non-null   float64\n",
            " 15  YearsInCurrentRole                1676 non-null   float64\n",
            " 16  YearsSinceLastPromotion           1676 non-null   float64\n",
            " 17  YearsWithCurrManager              1676 non-null   float64\n",
            " 18  BusinessTravel_Non-Travel         1676 non-null   uint8  \n",
            " 19  BusinessTravel_Travel_Frequently  1676 non-null   uint8  \n",
            " 20  BusinessTravel_Travel_Rarely      1676 non-null   uint8  \n",
            " 21  Department_Cardiology             1676 non-null   uint8  \n",
            " 22  Department_Maternity              1676 non-null   uint8  \n",
            " 23  Department_Neurology              1676 non-null   uint8  \n",
            " 24  EducationField_Human Resources    1676 non-null   uint8  \n",
            " 25  EducationField_Life Sciences      1676 non-null   uint8  \n",
            " 26  EducationField_Marketing          1676 non-null   uint8  \n",
            " 27  EducationField_Medical            1676 non-null   uint8  \n",
            " 28  EducationField_Other              1676 non-null   uint8  \n",
            " 29  EducationField_Technical Degree   1676 non-null   uint8  \n",
            " 30  MaritalStatus_Divorced            1676 non-null   uint8  \n",
            " 31  MaritalStatus_Married             1676 non-null   uint8  \n",
            " 32  MaritalStatus_Single              1676 non-null   uint8  \n",
            " 33  JobRole_Admin                     1676 non-null   uint8  \n",
            " 34  JobRole_Administrative            1676 non-null   uint8  \n",
            " 35  JobRole_Nurse                     1676 non-null   uint8  \n",
            " 36  JobRole_Other                     1676 non-null   uint8  \n",
            " 37  JobRole_Therapist                 1676 non-null   uint8  \n",
            "dtypes: float64(16), int64(2), uint8(20)\n",
            "memory usage: 268.5 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 461
        },
        "id": "BX7m82470D1U",
        "outputId": "9e934a8f-70c6-4c9d-f782-d07ee25fea8b"
      },
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           Age  DistanceFromHome  Education  EnvironmentSatisfaction  Gender  \\\n",
              "0     0.547619          0.000000       0.25                 0.333333       0   \n",
              "1     0.738095          0.250000       0.00                 0.666667       1   \n",
              "2     0.452381          0.035714       0.25                 1.000000       1   \n",
              "3     0.357143          0.071429       0.75                 1.000000       0   \n",
              "4     0.214286          0.035714       0.00                 0.000000       1   \n",
              "...        ...               ...        ...                      ...     ...   \n",
              "1671  0.190476          0.821429       0.50                 0.666667       1   \n",
              "1672  0.666667          0.321429       0.50                 0.666667       0   \n",
              "1673  0.047619          0.000000       0.50                 1.000000       0   \n",
              "1674  0.500000          0.000000       0.00                 1.000000       0   \n",
              "1675  0.214286          0.035714       0.25                 0.000000       0   \n",
              "\n",
              "      JobInvolvement  JobLevel  JobSatisfaction  MonthlyIncome  \\\n",
              "0           0.666667      0.25         1.000000       0.262454   \n",
              "1           0.333333      0.25         0.333333       0.217009   \n",
              "2           0.333333      0.00         0.666667       0.056925   \n",
              "3           0.666667      0.00         0.666667       0.100053   \n",
              "4           0.666667      0.00         0.333333       0.129489   \n",
              "...              ...       ...              ...            ...   \n",
              "1671        0.000000      0.00         1.000000       0.070090   \n",
              "1672        0.333333      0.50         1.000000       0.424539   \n",
              "1673        0.333333      0.00         0.333333       0.096209   \n",
              "1674        0.333333      0.75         1.000000       0.617852   \n",
              "1675        1.000000      0.25         0.666667       0.289152   \n",
              "\n",
              "      NumCompaniesWorked  ...  EducationField_Other  \\\n",
              "0               0.888889  ...                     0   \n",
              "1               0.111111  ...                     0   \n",
              "2               0.666667  ...                     1   \n",
              "3               0.111111  ...                     0   \n",
              "4               1.000000  ...                     0   \n",
              "...                  ...  ...                   ...   \n",
              "1671            0.111111  ...                     0   \n",
              "1672            0.222222  ...                     0   \n",
              "1673            0.111111  ...                     0   \n",
              "1674            0.111111  ...                     0   \n",
              "1675            0.000000  ...                     0   \n",
              "\n",
              "      EducationField_Technical Degree  MaritalStatus_Divorced  \\\n",
              "0                                   0                       0   \n",
              "1                                   0                       0   \n",
              "2                                   0                       0   \n",
              "3                                   0                       0   \n",
              "4                                   0                       0   \n",
              "...                               ...                     ...   \n",
              "1671                                1                       0   \n",
              "1672                                0                       0   \n",
              "1673                                0                       0   \n",
              "1674                                0                       0   \n",
              "1675                                0                       0   \n",
              "\n",
              "      MaritalStatus_Married  MaritalStatus_Single  JobRole_Admin  \\\n",
              "0                         0                     1              0   \n",
              "1                         1                     0              0   \n",
              "2                         0                     1              0   \n",
              "3                         1                     0              0   \n",
              "4                         1                     0              0   \n",
              "...                     ...                   ...            ...   \n",
              "1671                      0                     1              0   \n",
              "1672                      1                     0              0   \n",
              "1673                      0                     1              0   \n",
              "1674                      1                     0              0   \n",
              "1675                      0                     1              0   \n",
              "\n",
              "      JobRole_Administrative  JobRole_Nurse  JobRole_Other  JobRole_Therapist  \n",
              "0                          0              1              0                  0  \n",
              "1                          0              0              1                  0  \n",
              "2                          0              1              0                  0  \n",
              "3                          0              0              1                  0  \n",
              "4                          0              1              0                  0  \n",
              "...                      ...            ...            ...                ...  \n",
              "1671                       0              1              0                  0  \n",
              "1672                       0              1              0                  0  \n",
              "1673                       0              0              1                  0  \n",
              "1674                       0              0              0                  1  \n",
              "1675                       0              1              0                  0  \n",
              "\n",
              "[1676 rows x 38 columns]"
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              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.75</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.617852</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1675</th>\n",
              "      <td>0.214286</td>\n",
              "      <td>0.035714</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>0.289152</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1676 rows × 38 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f34055c7-a5d0-4e45-a9a5-2a3b9f260053')\"\n",
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              "            style=\"display:none;\">\n",
              "\n",
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              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
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              "      border: none;\n",
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              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      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",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "      fill: #D2E3FC;\n",
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              "        document.querySelector('#df-f34055c7-a5d0-4e45-a9a5-2a3b9f260053 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-f34055c7-a5d0-4e45-a9a5-2a3b9f260053');\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",
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              "\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "      --hover-bg-color: #E2EBFA;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
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              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-right-color: var(--fill-color);\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
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              "        document.querySelector('#df-1f9d6ad7-ff9f-4da1-a917-f9639afcb6f9 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_fbb97d3b-3b23-41ab-b26e-db9700143bac\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
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              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
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              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
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              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
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              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('X')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_fbb97d3b-3b23-41ab-b26e-db9700143bac button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('X');\n",
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              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 96
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2,random_state=30)"
      ],
      "metadata": {
        "id": "Vwu-l_Ojw7zW"
      },
      "execution_count": 97,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mGqBz1b5zVPs",
        "outputId": "81046d17-47fb-4019-a39c-db0c32e2efdf"
      },
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1340, 38)"
            ]
          },
          "metadata": {},
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "class_weights = compute_class_weight('balanced', classes=np.unique(y_train), y=y_train)\n",
        "class_weight_dict = dict(zip(np.unique(y_train), class_weights))\n",
        "class_weights,class_weight_dict"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X5CXZeez1Jva",
        "outputId": "58827b7c-838b-4e0d-b774-43347b3308d7"
      },
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([0.56731583, 4.21383648]), {0: 0.56731583403895, 1: 4.213836477987422})"
            ]
          },
          "metadata": {},
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model = keras.Sequential([\n",
        "    keras.layers.Dense(100, input_shape=(38,), activation='sigmoid'),\n",
        "    keras.layers.Dense(1,activation='sigmoid')\n",
        "])\n",
        "\n",
        "model.compile(\n",
        "    optimizer='adam',\n",
        "    loss='binary_crossentropy',\n",
        "    metrics=['accuracy']\n",
        ")\n",
        "# Fit the model\n",
        "model.fit(X_train, y_train, epochs=500)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1QMDD6v3yLVY",
        "outputId": "8f2431a2-bd96-435e-a62c-9ed2e7da3943"
      },
      "execution_count": 100,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/500\n",
            "42/42 [==============================] - 1s 3ms/step - loss: 0.3728 - accuracy: 0.8813\n",
            "Epoch 2/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.3383 - accuracy: 0.8813\n",
            "Epoch 3/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.3193 - accuracy: 0.8813\n",
            "Epoch 4/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.3018 - accuracy: 0.8813\n",
            "Epoch 5/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.2889 - accuracy: 0.8813\n",
            "Epoch 6/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.2740 - accuracy: 0.8828\n",
            "Epoch 7/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.2608 - accuracy: 0.8851\n",
            "Epoch 8/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.2499 - accuracy: 0.8978\n",
            "Epoch 9/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.2413 - accuracy: 0.9000\n",
            "Epoch 10/500\n",
            "42/42 [==============================] - 0s 7ms/step - loss: 0.2324 - accuracy: 0.9045\n",
            "Epoch 11/500\n",
            "42/42 [==============================] - 1s 17ms/step - loss: 0.2238 - accuracy: 0.9097\n",
            "Epoch 12/500\n",
            "42/42 [==============================] - 0s 5ms/step - loss: 0.2168 - accuracy: 0.9119\n",
            "Epoch 13/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.2113 - accuracy: 0.9149\n",
            "Epoch 14/500\n",
            "42/42 [==============================] - 0s 5ms/step - loss: 0.2083 - accuracy: 0.9179\n",
            "Epoch 15/500\n",
            "42/42 [==============================] - 1s 18ms/step - loss: 0.2023 - accuracy: 0.9224\n",
            "Epoch 16/500\n",
            "42/42 [==============================] - 0s 7ms/step - loss: 0.1970 - accuracy: 0.9284\n",
            "Epoch 17/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1945 - accuracy: 0.9224\n",
            "Epoch 18/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1911 - accuracy: 0.9291\n",
            "Epoch 19/500\n",
            "42/42 [==============================] - 0s 10ms/step - loss: 0.1892 - accuracy: 0.9299\n",
            "Epoch 20/500\n",
            "42/42 [==============================] - 1s 14ms/step - loss: 0.1856 - accuracy: 0.9328\n",
            "Epoch 21/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1838 - accuracy: 0.9336\n",
            "Epoch 22/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1818 - accuracy: 0.9321\n",
            "Epoch 23/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1816 - accuracy: 0.9396\n",
            "Epoch 24/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1783 - accuracy: 0.9358\n",
            "Epoch 25/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1775 - accuracy: 0.9403\n",
            "Epoch 26/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1757 - accuracy: 0.9396\n",
            "Epoch 27/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1743 - accuracy: 0.9381\n",
            "Epoch 28/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1736 - accuracy: 0.9410\n",
            "Epoch 29/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1729 - accuracy: 0.9388\n",
            "Epoch 30/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1711 - accuracy: 0.9403\n",
            "Epoch 31/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1710 - accuracy: 0.9425\n",
            "Epoch 32/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1698 - accuracy: 0.9418\n",
            "Epoch 33/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1705 - accuracy: 0.9403\n",
            "Epoch 34/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1695 - accuracy: 0.9381\n",
            "Epoch 35/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1689 - accuracy: 0.9396\n",
            "Epoch 36/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1684 - accuracy: 0.9381\n",
            "Epoch 37/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1668 - accuracy: 0.9403\n",
            "Epoch 38/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1665 - accuracy: 0.9410\n",
            "Epoch 39/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1657 - accuracy: 0.9448\n",
            "Epoch 40/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1652 - accuracy: 0.9425\n",
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            "Epoch 394/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1149 - accuracy: 0.9545\n",
            "Epoch 395/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1141 - accuracy: 0.9560\n",
            "Epoch 396/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1145 - accuracy: 0.9545\n",
            "Epoch 397/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1135 - accuracy: 0.9575\n",
            "Epoch 398/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1139 - accuracy: 0.9582\n",
            "Epoch 399/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1137 - accuracy: 0.9552\n",
            "Epoch 400/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1145 - accuracy: 0.9582\n",
            "Epoch 401/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1136 - accuracy: 0.9575\n",
            "Epoch 402/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1126 - accuracy: 0.9552\n",
            "Epoch 403/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1132 - accuracy: 0.9552\n",
            "Epoch 404/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1127 - accuracy: 0.9567\n",
            "Epoch 405/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1122 - accuracy: 0.9560\n",
            "Epoch 406/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1116 - accuracy: 0.9575\n",
            "Epoch 407/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1110 - accuracy: 0.9567\n",
            "Epoch 408/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1122 - accuracy: 0.9575\n",
            "Epoch 409/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1119 - accuracy: 0.9522\n",
            "Epoch 410/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1120 - accuracy: 0.9560\n",
            "Epoch 411/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1113 - accuracy: 0.9597\n",
            "Epoch 412/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1115 - accuracy: 0.9552\n",
            "Epoch 413/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1107 - accuracy: 0.9567\n",
            "Epoch 414/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1114 - accuracy: 0.9537\n",
            "Epoch 415/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1098 - accuracy: 0.9582\n",
            "Epoch 416/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1116 - accuracy: 0.9560\n",
            "Epoch 417/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1089 - accuracy: 0.9612\n",
            "Epoch 418/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1112 - accuracy: 0.9575\n",
            "Epoch 419/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1104 - accuracy: 0.9575\n",
            "Epoch 420/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1099 - accuracy: 0.9612\n",
            "Epoch 421/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1092 - accuracy: 0.9567\n",
            "Epoch 422/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1094 - accuracy: 0.9582\n",
            "Epoch 423/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1098 - accuracy: 0.9582\n",
            "Epoch 424/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1086 - accuracy: 0.9567\n",
            "Epoch 425/500\n",
            "42/42 [==============================] - 0s 5ms/step - loss: 0.1086 - accuracy: 0.9575\n",
            "Epoch 426/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1084 - accuracy: 0.9597\n",
            "Epoch 427/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1076 - accuracy: 0.9582\n",
            "Epoch 428/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1091 - accuracy: 0.9567\n",
            "Epoch 429/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1075 - accuracy: 0.9560\n",
            "Epoch 430/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1074 - accuracy: 0.9560\n",
            "Epoch 431/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1070 - accuracy: 0.9537\n",
            "Epoch 432/500\n",
            "42/42 [==============================] - 0s 5ms/step - loss: 0.1085 - accuracy: 0.9582\n",
            "Epoch 433/500\n",
            "42/42 [==============================] - 0s 5ms/step - loss: 0.1065 - accuracy: 0.9582\n",
            "Epoch 434/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1066 - accuracy: 0.9604\n",
            "Epoch 435/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1067 - accuracy: 0.9582\n",
            "Epoch 436/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1064 - accuracy: 0.9582\n",
            "Epoch 437/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1071 - accuracy: 0.9575\n",
            "Epoch 438/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1062 - accuracy: 0.9597\n",
            "Epoch 439/500\n",
            "42/42 [==============================] - 0s 5ms/step - loss: 0.1062 - accuracy: 0.9582\n",
            "Epoch 440/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1071 - accuracy: 0.9575\n",
            "Epoch 441/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1059 - accuracy: 0.9575\n",
            "Epoch 442/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1056 - accuracy: 0.9619\n",
            "Epoch 443/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1058 - accuracy: 0.9582\n",
            "Epoch 444/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1048 - accuracy: 0.9590\n",
            "Epoch 445/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1054 - accuracy: 0.9612\n",
            "Epoch 446/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1045 - accuracy: 0.9597\n",
            "Epoch 447/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1039 - accuracy: 0.9590\n",
            "Epoch 448/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1047 - accuracy: 0.9597\n",
            "Epoch 449/500\n",
            "42/42 [==============================] - 0s 4ms/step - loss: 0.1034 - accuracy: 0.9582\n",
            "Epoch 450/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1044 - accuracy: 0.9590\n",
            "Epoch 451/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1037 - accuracy: 0.9582\n",
            "Epoch 452/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1031 - accuracy: 0.9612\n",
            "Epoch 453/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1029 - accuracy: 0.9604\n",
            "Epoch 454/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1032 - accuracy: 0.9604\n",
            "Epoch 455/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1028 - accuracy: 0.9597\n",
            "Epoch 456/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1030 - accuracy: 0.9590\n",
            "Epoch 457/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1021 - accuracy: 0.9619\n",
            "Epoch 458/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1042 - accuracy: 0.9560\n",
            "Epoch 459/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1029 - accuracy: 0.9597\n",
            "Epoch 460/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1030 - accuracy: 0.9582\n",
            "Epoch 461/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1020 - accuracy: 0.9619\n",
            "Epoch 462/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1018 - accuracy: 0.9612\n",
            "Epoch 463/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1029 - accuracy: 0.9604\n",
            "Epoch 464/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1014 - accuracy: 0.9627\n",
            "Epoch 465/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1007 - accuracy: 0.9582\n",
            "Epoch 466/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1031 - accuracy: 0.9590\n",
            "Epoch 467/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1002 - accuracy: 0.9619\n",
            "Epoch 468/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1009 - accuracy: 0.9612\n",
            "Epoch 469/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1005 - accuracy: 0.9604\n",
            "Epoch 470/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.1008 - accuracy: 0.9619\n",
            "Epoch 471/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1014 - accuracy: 0.9590\n",
            "Epoch 472/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.1006 - accuracy: 0.9619\n",
            "Epoch 473/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.0997 - accuracy: 0.9604\n",
            "Epoch 474/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0998 - accuracy: 0.9604\n",
            "Epoch 475/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0999 - accuracy: 0.9634\n",
            "Epoch 476/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0990 - accuracy: 0.9627\n",
            "Epoch 477/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0983 - accuracy: 0.9649\n",
            "Epoch 478/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0993 - accuracy: 0.9634\n",
            "Epoch 479/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.0982 - accuracy: 0.9612\n",
            "Epoch 480/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0997 - accuracy: 0.9597\n",
            "Epoch 481/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0982 - accuracy: 0.9642\n",
            "Epoch 482/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.0981 - accuracy: 0.9634\n",
            "Epoch 483/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0989 - accuracy: 0.9634\n",
            "Epoch 484/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.0972 - accuracy: 0.9642\n",
            "Epoch 485/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0974 - accuracy: 0.9634\n",
            "Epoch 486/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.0972 - accuracy: 0.9619\n",
            "Epoch 487/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0965 - accuracy: 0.9627\n",
            "Epoch 488/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.0968 - accuracy: 0.9634\n",
            "Epoch 489/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0967 - accuracy: 0.9627\n",
            "Epoch 490/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0966 - accuracy: 0.9612\n",
            "Epoch 491/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0967 - accuracy: 0.9612\n",
            "Epoch 492/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0959 - accuracy: 0.9627\n",
            "Epoch 493/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0971 - accuracy: 0.9612\n",
            "Epoch 494/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0954 - accuracy: 0.9634\n",
            "Epoch 495/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0952 - accuracy: 0.9619\n",
            "Epoch 496/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0952 - accuracy: 0.9642\n",
            "Epoch 497/500\n",
            "42/42 [==============================] - 0s 3ms/step - loss: 0.0947 - accuracy: 0.9634\n",
            "Epoch 498/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0948 - accuracy: 0.9627\n",
            "Epoch 499/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0949 - accuracy: 0.9649\n",
            "Epoch 500/500\n",
            "42/42 [==============================] - 0s 2ms/step - loss: 0.0953 - accuracy: 0.9619\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.src.callbacks.History at 0x7cadbe6667d0>"
            ]
          },
          "metadata": {},
          "execution_count": 100
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.evaluate(X_test,y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sZzRqGNm2nay",
        "outputId": "2022e6c7-396c-4f18-d008-6cacbcfd6ead"
      },
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "11/11 [==============================] - 0s 2ms/step - loss: 0.2272 - accuracy: 0.9196\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.22719717025756836, 0.9196428656578064]"
            ]
          },
          "metadata": {},
          "execution_count": 101
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_test_pre=model.predict(X_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yoMw7PWPznGw",
        "outputId": "5d82c8d2-f3ee-4b6d-b5b6-d5fb3191aecf"
      },
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "11/11 [==============================] - 0s 2ms/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_pre=model.predict(X_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k8y6Kevf3wdz",
        "outputId": "7d799f02-04ec-422c-a9db-d06c0dde5019"
      },
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "11/11 [==============================] - 0s 2ms/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_pre[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vkUEOnrQ54tJ",
        "outputId": "6a9c12dc-b96e-4e1d-af12-188bd8afe2cc"
      },
      "execution_count": 105,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0.00204776], dtype=float32)"
            ]
          },
          "metadata": {},
          "execution_count": 105
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_predict = []\n",
        "for i in y_pre:\n",
        "  if i > 0.5:\n",
        "    y_predict.append(1)\n",
        "  else:\n",
        "    y_predict.append(0)\n",
        "y_predict= np.array(y_predict)"
      ],
      "metadata": {
        "id": "kYfeg3En19oW"
      },
      "execution_count": 106,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y_testt=np.array(y_test)"
      ],
      "metadata": {
        "id": "fJYmK3pS4vkw"
      },
      "execution_count": 107,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y_testt[311],y_predict[311]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MF4KKAfA59Ro",
        "outputId": "e2acf7ad-a2cb-4f8c-8d23-f71e44a1f133"
      },
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(0, 0)"
            ]
          },
          "metadata": {},
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cm = tf.math.confusion_matrix(y_test,y_predict)\n",
        "sns.heatmap(cm, annot=True, fmt='d')"
      ],
      "metadata": {
        "id": "bfw5PDWsOYrH",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "outputId": "785a8f61-3808-42ce-965c-488eb7b250c6"
      },
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 109
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Y3RGvFZQ37U3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Sgy-ANPwakqD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "hxf6xfZJ389G"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}