Predicitve_maintenance.ipynb

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      "cell_type": "markdown",
      "source": [
        "# **Downloading libraries and dataset (from kaggle)**"
      ],
      "metadata": {
        "id": "zXBb0UHT9i1y"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "ZUOn72Bo40GS"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
        "    for filename in filenames:\n",
        "        print(os.path.join(dirname, filename))"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")"
      ],
      "metadata": {
        "id": "1_RsYOURvwG5"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import kagglehub\n",
        "\n",
        "# Download latest version\n",
        "path = kagglehub.dataset_download(\"shivamb/machine-predictive-maintenance-classification\")\n",
        "\n",
        "print(\"Path to dataset files:\", path)"
      ],
      "metadata": {
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        },
        "id": "eD5HCjDRwIa4",
        "outputId": "101ec791-2919-4b9c-cfd2-32b4609b4be2"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Warning: Looks like you're using an outdated `kagglehub` version (installed: 0.3.7), please consider upgrading to the latest version (0.3.8).\n",
            "Downloading from https://www.kaggle.com/api/v1/datasets/download/shivamb/machine-predictive-maintenance-classification?dataset_version_number=1...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 137k/137k [00:00<00:00, 47.4MB/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting files...\n",
            "Path to dataset files: /root/.cache/kagglehub/datasets/shivamb/machine-predictive-maintenance-classification/versions/1\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "file_path = os.path.join(path, 'predictive_maintenance.csv')\n",
        "print(file_path)"
      ],
      "metadata": {
        "id": "S1lW9_WByIsb",
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          "base_uri": "https://localhost:8080/"
        },
        "outputId": "035c91f3-50ff-4a1b-b606-8d2f126d7f56"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/root/.cache/kagglehub/datasets/shivamb/machine-predictive-maintenance-classification/versions/1/predictive_maintenance.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(file_path)"
      ],
      "metadata": {
        "id": "C4jnz8XyyNvl"
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      "execution_count": 5,
      "outputs": []
    },
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      "source": [
        "df.head()"
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          "height": 206
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        "id": "_rX2XyAsb2ka",
        "outputId": "55183a26-70e3-4030-9507-51c967a3e15a"
      },
      "execution_count": 6,
      "outputs": [
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            "text/plain": [
              "   UDI Product ID Type  Air temperature [K]  Process temperature [K]  \\\n",
              "0    1     M14860    M                298.1                    308.6   \n",
              "1    2     L47181    L                298.2                    308.7   \n",
              "2    3     L47182    L                298.1                    308.5   \n",
              "3    4     L47183    L                298.2                    308.6   \n",
              "4    5     L47184    L                298.2                    308.7   \n",
              "\n",
              "   Rotational speed [rpm]  Torque [Nm]  Tool wear [min]  Target Failure Type  \n",
              "0                    1551         42.8                0       0   No Failure  \n",
              "1                    1408         46.3                3       0   No Failure  \n",
              "2                    1498         49.4                5       0   No Failure  \n",
              "3                    1433         39.5                7       0   No Failure  \n",
              "4                    1408         40.0                9       0   No Failure  "
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        "df = df.drop([\"UDI\",\"Product ID\"],axis=1)\n",
        "df.head()"
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              "  Type  Air temperature [K]  Process temperature [K]  Rotational speed [rpm]  \\\n",
              "0    M                298.1                    308.6                    1551   \n",
              "1    L                298.2                    308.7                    1408   \n",
              "2    L                298.1                    308.5                    1498   \n",
              "3    L                298.2                    308.6                    1433   \n",
              "4    L                298.2                    308.7                    1408   \n",
              "\n",
              "   Torque [Nm]  Tool wear [min]  Target Failure Type  \n",
              "0         42.8                0       0   No Failure  \n",
              "1         46.3                3       0   No Failure  \n",
              "2         49.4                5       0   No Failure  \n",
              "3         39.5                7       0   No Failure  \n",
              "4         40.0                9       0   No Failure  "
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            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "## Converting temperature in centigrate from Kelvin [1 K = -272.15 °C  ]\n",
        "\n",
        "df[\"Air temperature [K]\"] = df[\"Air temperature [K]\"] - 272.15\n",
        "df[\"Process temperature [K]\"] = df[\"Process temperature [K]\"] - 272.15\n",
        "\n",
        "# Renaming temperature to Centigrate(°C) from Kelvin (K)\n",
        "df.rename(columns={\"Air temperature [K]\" : \"Air temperature [°C]\",\"Process temperature [K]\" : \"Process temperature [°C]\"},inplace=True)"
      ],
      "metadata": {
        "id": "b9RraH0hysR4"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"Temperature difference [°C]\"] = df[\"Process temperature [°C]\"] - df[\"Air temperature [°C]\"]\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
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        "id": "6oUb77ryyvcf",
        "outputId": "25064077-d812-43fb-c877-79f7ed55b52d"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Type  Air temperature [°C]  Process temperature [°C]  \\\n",
              "0    M                 25.95                     36.45   \n",
              "1    L                 26.05                     36.55   \n",
              "2    L                 25.95                     36.35   \n",
              "3    L                 26.05                     36.45   \n",
              "4    L                 26.05                     36.55   \n",
              "\n",
              "   Rotational speed [rpm]  Torque [Nm]  Tool wear [min]  Target Failure Type  \\\n",
              "0                    1551         42.8                0       0   No Failure   \n",
              "1                    1408         46.3                3       0   No Failure   \n",
              "2                    1498         49.4                5       0   No Failure   \n",
              "3                    1433         39.5                7       0   No Failure   \n",
              "4                    1408         40.0                9       0   No Failure   \n",
              "\n",
              "   Temperature difference [°C]  \n",
              "0                         10.5  \n",
              "1                         10.5  \n",
              "2                         10.4  \n",
              "3                         10.4  \n",
              "4                         10.5  "
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              "      <td>1498</td>\n",
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              "      <td>1433</td>\n",
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              "      <td>7</td>\n",
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              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-e80d57ae-cb82-4db2-8a39-286810e35b3c');\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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              "  }\n",
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              "  }\n",
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              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
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              "    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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              "    }\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-d3c707c3-8ec2-4061-8b5e-fd33dbafbcb0 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 10000,\n  \"fields\": [\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"M\",\n          \"L\",\n          \"H\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Air temperature [\\u00b0C]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.000258682915716,\n        \"min\": 23.150000000000034,\n        \"max\": 32.35000000000002,\n        \"num_unique_values\": 93,\n        \"samples\": [\n          27.150000000000034,\n          24.75,\n          28.650000000000034\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Process temperature [\\u00b0C]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.4837342191657485,\n        \"min\": 33.55000000000001,\n        \"max\": 41.650000000000034,\n        \"num_unique_values\": 82,\n        \"samples\": [\n          35.05000000000001,\n          36.450000000000045,\n          37.950000000000045\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rotational speed [rpm]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 179,\n        \"min\": 1168,\n        \"max\": 2886,\n        \"num_unique_values\": 941,\n        \"samples\": [\n          1274,\n          1576,\n          2010\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Torque [Nm]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9.968933725121401,\n        \"min\": 3.8,\n        \"max\": 76.6,\n        \"num_unique_values\": 577,\n        \"samples\": [\n          36.1,\n          65.9,\n          12.6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Tool wear [min]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 63,\n        \"min\": 0,\n        \"max\": 253,\n        \"num_unique_values\": 246,\n        \"samples\": [\n          93,\n          14,\n          215\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Target\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Failure Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"No Failure\",\n          \"Power Failure\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Temperature difference [\\u00b0C]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0010938127779054,\n        \"min\": 7.599999999999966,\n        \"max\": 12.100000000000023,\n        \"num_unique_values\": 83,\n        \"samples\": [\n          11.300000000000011,\n          10.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(df.shape)\n",
        "print(df.size)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qUPF5GD8yzIc",
        "outputId": "e301a1a6-e600-46c5-a41a-6fe9fcfd689c"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(10000, 9)\n",
            "90000\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "munnPBuDy2NU",
        "outputId": "cb17da0d-d77a-4789-824b-c98903792675"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 10000 entries, 0 to 9999\n",
            "Data columns (total 9 columns):\n",
            " #   Column                       Non-Null Count  Dtype  \n",
            "---  ------                       --------------  -----  \n",
            " 0   Type                         10000 non-null  object \n",
            " 1   Air temperature [°C]         10000 non-null  float64\n",
            " 2   Process temperature [°C]     10000 non-null  float64\n",
            " 3   Rotational speed [rpm]       10000 non-null  int64  \n",
            " 4   Torque [Nm]                  10000 non-null  float64\n",
            " 5   Tool wear [min]              10000 non-null  int64  \n",
            " 6   Target                       10000 non-null  int64  \n",
            " 7   Failure Type                 10000 non-null  object \n",
            " 8   Temperature difference [°C]  10000 non-null  float64\n",
            "dtypes: float64(4), int64(3), object(2)\n",
            "memory usage: 703.3+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "ISmzuW_Wy5yS",
        "outputId": "5846606d-5e3e-4459-a7f0-9676246c9046"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Air temperature [°C]  Process temperature [°C]  Rotational speed [rpm]  \\\n",
              "count          10000.000000              10000.000000            10000.000000   \n",
              "mean              27.854930                 37.855560             1538.776100   \n",
              "std                2.000259                  1.483734              179.284096   \n",
              "min               23.150000                 33.550000             1168.000000   \n",
              "25%               26.150000                 36.650000             1423.000000   \n",
              "50%               27.950000                 37.950000             1503.000000   \n",
              "75%               29.350000                 38.950000             1612.000000   \n",
              "max               32.350000                 41.650000             2886.000000   \n",
              "\n",
              "        Torque [Nm]  Tool wear [min]        Target  \\\n",
              "count  10000.000000     10000.000000  10000.000000   \n",
              "mean      39.986910       107.951000      0.033900   \n",
              "std        9.968934        63.654147      0.180981   \n",
              "min        3.800000         0.000000      0.000000   \n",
              "25%       33.200000        53.000000      0.000000   \n",
              "50%       40.100000       108.000000      0.000000   \n",
              "75%       46.800000       162.000000      0.000000   \n",
              "max       76.600000       253.000000      1.000000   \n",
              "\n",
              "       Temperature difference [°C]  \n",
              "count                 10000.000000  \n",
              "mean                     10.000630  \n",
              "std                       1.001094  \n",
              "min                       7.600000  \n",
              "25%                       9.300000  \n",
              "50%                       9.800000  \n",
              "75%                      11.000000  \n",
              "max                      12.100000  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-111224ca-d3f9-4b50-b18b-c852038f0259\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Air temperature [°C]</th>\n",
              "      <th>Process temperature [°C]</th>\n",
              "      <th>Rotational speed [rpm]</th>\n",
              "      <th>Torque [Nm]</th>\n",
              "      <th>Tool wear [min]</th>\n",
              "      <th>Target</th>\n",
              "      <th>Temperature difference [°C]</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "      <td>10000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>27.854930</td>\n",
              "      <td>37.855560</td>\n",
              "      <td>1538.776100</td>\n",
              "      <td>39.986910</td>\n",
              "      <td>107.951000</td>\n",
              "      <td>0.033900</td>\n",
              "      <td>10.000630</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>2.000259</td>\n",
              "      <td>1.483734</td>\n",
              "      <td>179.284096</td>\n",
              "      <td>9.968934</td>\n",
              "      <td>63.654147</td>\n",
              "      <td>0.180981</td>\n",
              "      <td>1.001094</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>23.150000</td>\n",
              "      <td>33.550000</td>\n",
              "      <td>1168.000000</td>\n",
              "      <td>3.800000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>7.600000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>26.150000</td>\n",
              "      <td>36.650000</td>\n",
              "      <td>1423.000000</td>\n",
              "      <td>33.200000</td>\n",
              "      <td>53.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>9.300000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>27.950000</td>\n",
              "      <td>37.950000</td>\n",
              "      <td>1503.000000</td>\n",
              "      <td>40.100000</td>\n",
              "      <td>108.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>9.800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>29.350000</td>\n",
              "      <td>38.950000</td>\n",
              "      <td>1612.000000</td>\n",
              "      <td>46.800000</td>\n",
              "      <td>162.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>11.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>32.350000</td>\n",
              "      <td>41.650000</td>\n",
              "      <td>2886.000000</td>\n",
              "      <td>76.600000</td>\n",
              "      <td>253.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>12.100000</td>\n",
              "    </tr>\n",
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              "\n",
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              "      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-111224ca-d3f9-4b50-b18b-c852038f0259 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-111224ca-d3f9-4b50-b18b-c852038f0259');\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-8ecbbf44-62f6-4d96-9b32-cc478a088ef1\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8ecbbf44-62f6-4d96-9b32-cc478a088ef1')\"\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-8ecbbf44-62f6-4d96-9b32-cc478a088ef1 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"Air temperature [\\u00b0C]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3527.0204730254977,\n        \"min\": 2.000258682915716,\n        \"max\": 10000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          27.85493000000002,\n          27.950000000000045,\n          10000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Process temperature [\\u00b0C]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3524.037249905995,\n        \"min\": 1.4837342191657485,\n        \"max\": 10000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          37.85556000000002,\n          37.950000000000045,\n          10000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rotational speed [rpm]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3103.301433905864,\n        \"min\": 179.28409591342628,\n        \"max\": 10000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          1538.7761,\n          1503.0,\n          10000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Torque [Nm]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3522.9553380464768,\n        \"min\": 3.8,\n        \"max\": 10000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          39.986909999999995,\n          40.1,\n          10000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Tool wear [min]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3498.6028684989537,\n        \"min\": 0.0,\n        \"max\": 10000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          107.951,\n          108.0,\n          10000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Target\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3535.4725618125285,\n        \"min\": 0.0,\n        \"max\": 10000.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.0339,\n          1.0,\n          0.18098084265064265\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Temperature difference [\\u00b0C]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3532.4645847796032,\n        \"min\": 1.0010938127779054,\n        \"max\": 10000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          10.00063,\n          9.800000000000011,\n          10000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **EXPLORATORY DATA ANALYSIS**"
      ],
      "metadata": {
        "id": "sc4K6arwzCba"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Check Missing Values\n",
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 366
        },
        "id": "ODIuyRFby50g",
        "outputId": "0d08c0bd-af49-4b5a-9b82-507943062ed8"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Type                           0\n",
              "Air temperature [°C]           0\n",
              "Process temperature [°C]       0\n",
              "Rotational speed [rpm]         0\n",
              "Torque [Nm]                    0\n",
              "Tool wear [min]                0\n",
              "Target                         0\n",
              "Failure Type                   0\n",
              "Temperature difference [°C]    0\n",
              "dtype: int64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Type</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Air temperature [°C]</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Process temperature [°C]</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Rotational speed [rpm]</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Torque [Nm]</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tool wear [min]</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Target</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Failure Type</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Temperature difference [°C]</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.displot(data=df, x=\"Air temperature [°C]\", kde=True, bins = 100,color = \"red\", facecolor = \"yellow\",height = 4, aspect = 3);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 407
        },
        "id": "_xygWThBy52l",
        "outputId": "a700caa7-473f-4a3c-dabc-87f483dfe89a"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.displot(data=df, x=\"Process temperature [°C]\", kde=True, bins = 100,color = \"red\", facecolor = \"lime\",height = 4, aspect = 3);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 407
        },
        "id": "yaxhv7Dgy54L",
        "outputId": "76400188-9bcc-4f46-9f68-74b03b050974"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.displot(data=df, x=\"Temperature difference [°C]\", kde=True, bins = 100,color = \"blue\", facecolor = \"DeepPink\",height = 4, aspect = 3);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 407
        },
        "id": "KJkyUwHPzlzN",
        "outputId": "6606db1e-0258-4fc1-9877-ac89cf51af42"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for col in df[['Type','Target','Failure Type']]:\n",
        "    print(df[col].value_counts())\n",
        "    print(\"****\"*8)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rIZpVhewzl4U",
        "outputId": "1c38268e-d290-486d-d670-bab8faa3973b"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Type\n",
            "L    6000\n",
            "M    2997\n",
            "H    1003\n",
            "Name: count, dtype: int64\n",
            "********************************\n",
            "Target\n",
            "0    9661\n",
            "1     339\n",
            "Name: count, dtype: int64\n",
            "********************************\n",
            "Failure Type\n",
            "No Failure                  9652\n",
            "Heat Dissipation Failure     112\n",
            "Power Failure                 95\n",
            "Overstrain Failure            78\n",
            "Tool Wear Failure             45\n",
            "Random Failures               18\n",
            "Name: count, dtype: int64\n",
            "********************************\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ax = plt.figure(figsize=(14,4))\n",
        "ax = plt.subplot(1,2,1)\n",
        "ax = sns.countplot(x='Type', data=df)\n",
        "ax.bar_label(ax.containers[0])\n",
        "plt.title(\"Type\", fontsize=20,color='Red',font='Times New Roman')\n",
        "ax =plt.subplot(1,2,2)\n",
        "ax=df['Type'].value_counts().plot.pie(explode=[0.1, 0.1,0.1],autopct='%1.2f%%',shadow=True);\n",
        "ax.set_title(label = \"Type\", fontsize = 20,color='Red',font='Times New Roman');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 546
        },
        "id": "db1y7nA_zl6Y",
        "outputId": "0215b1ed-4a0c-435b-82e5-c5cf1f4be509"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x400 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ax = plt.figure(figsize=(14,4))\n",
        "ax = plt.subplot(1,2,1)\n",
        "ax = sns.countplot(x='Target', data=df)\n",
        "ax.bar_label(ax.containers[0])\n",
        "plt.title(\"Target\", fontsize=20,color='Red',font='Times New Roman')\n",
        "ax =plt.subplot(1,2,2)\n",
        "ax=df['Target'].value_counts().plot.pie(explode=[0.1, 0.1],autopct='%1.2f%%',shadow=True);\n",
        "ax.set_title(label = \"Target\", fontsize = 20,color='Red',font='Times New Roman');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 546
        },
        "id": "wwRa_m6Yz1Ee",
        "outputId": "a3d05c81-b810-406d-8cc8-6e969d0d671f"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n",
            "WARNING:matplotlib.font_manager:findfont: Font family 'Times New Roman' not found.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x400 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,5))\n",
        "sns.scatterplot(data=df, x=\"Torque [Nm]\", y=\"Rotational speed [rpm]\", hue=\"Failure Type\",palette=\"tab10\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 465
        },
        "id": "9CeHN0PVz5JI",
        "outputId": "e866a957-0ed0-4e9a-f78e-ec25b0218797"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,5))\n",
        "sns.scatterplot(data=df, x=\"Torque [Nm]\", y=\"Rotational speed [rpm]\", hue=\"Target\",palette=\"tab10\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 465
        },
        "id": "YBC9__-5wqJf",
        "outputId": "3bb112c0-d7dc-46f0-d83d-04d301817785"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,5))\n",
        "sns.scatterplot(data=df, x=\"Torque [Nm]\", y=\"Rotational speed [rpm]\", hue=\"Type\",palette=\"tab10\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 465
        },
        "id": "MWGXcYKvwxCQ",
        "outputId": "196d37a3-567a-464e-f1af-55a4e899f89a"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Feature Selection**"
      ],
      "metadata": {
        "id": "b-I_oX770dIx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install category_encoders"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lFGqsO6L0uPY",
        "outputId": "6d13b99a-9af6-43d0-f8af-31439cde8c2d"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting category_encoders\n",
            "  Downloading category_encoders-2.8.0-py3-none-any.whl.metadata (7.9 kB)\n",
            "Requirement already satisfied: numpy>=1.14.0 in /usr/local/lib/python3.11/dist-packages (from category_encoders) (1.26.4)\n",
            "Requirement already satisfied: pandas>=1.0.5 in /usr/local/lib/python3.11/dist-packages (from category_encoders) (2.2.2)\n",
            "Requirement already satisfied: patsy>=0.5.1 in /usr/local/lib/python3.11/dist-packages (from category_encoders) (1.0.1)\n",
            "Requirement already satisfied: scikit-learn>=1.6.0 in /usr/local/lib/python3.11/dist-packages (from category_encoders) (1.6.1)\n",
            "Requirement already satisfied: scipy>=1.0.0 in /usr/local/lib/python3.11/dist-packages (from category_encoders) (1.13.1)\n",
            "Requirement already satisfied: statsmodels>=0.9.0 in /usr/local/lib/python3.11/dist-packages (from category_encoders) (0.14.4)\n",
            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.11/dist-packages (from pandas>=1.0.5->category_encoders) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas>=1.0.5->category_encoders) (2025.1)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.11/dist-packages (from pandas>=1.0.5->category_encoders) (2025.1)\n",
            "Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.11/dist-packages (from scikit-learn>=1.6.0->category_encoders) (1.4.2)\n",
            "Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.11/dist-packages (from scikit-learn>=1.6.0->category_encoders) (3.5.0)\n",
            "Requirement already satisfied: packaging>=21.3 in /usr/local/lib/python3.11/dist-packages (from statsmodels>=0.9.0->category_encoders) (24.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.8.2->pandas>=1.0.5->category_encoders) (1.17.0)\n",
            "Downloading category_encoders-2.8.0-py3-none-any.whl (85 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m85.7/85.7 kB\u001b[0m \u001b[31m2.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: category_encoders\n",
            "Successfully installed category_encoders-2.8.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import category_encoders as ce\n",
        "encoder = ce.OrdinalEncoder(cols=['Type','Failure Type'])\n",
        "df = encoder.fit_transform(df)\n",
        "df.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "llAxEMEl0Ec3",
        "outputId": "3dcdfc51-7bc7-47d3-9678-8588122a1ca6"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Type  Air temperature [°C]  Process temperature [°C]  \\\n",
              "0     1                 25.95                     36.45   \n",
              "1     2                 26.05                     36.55   \n",
              "\n",
              "   Rotational speed [rpm]  Torque [Nm]  Tool wear [min]  Target  Failure Type  \\\n",
              "0                    1551         42.8                0       0             1   \n",
              "1                    1408         46.3                3       0             1   \n",
              "\n",
              "   Temperature difference [°C]  \n",
              "0                         10.5  \n",
              "1                         10.5  "
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Type</th>\n",
              "      <th>Air temperature [°C]</th>\n",
              "      <th>Process temperature [°C]</th>\n",
              "      <th>Rotational speed [rpm]</th>\n",
              "      <th>Torque [Nm]</th>\n",
              "      <th>Tool wear [min]</th>\n",
              "      <th>Target</th>\n",
              "      <th>Failure Type</th>\n",
              "      <th>Temperature difference [°C]</th>\n",
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              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>25.95</td>\n",
              "      <td>36.45</td>\n",
              "      <td>1551</td>\n",
              "      <td>42.8</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>10.5</td>\n",
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              "      <td>26.05</td>\n",
              "      <td>36.55</td>\n",
              "      <td>1408</td>\n",
              "      <td>46.3</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>10.5</td>\n",
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              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-0ac241f3-2d02-4825-92df-4237977283c7 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-0ac241f3-2d02-4825-92df-4237977283c7');\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-9ed46d74-406b-45ad-b33e-cc359a5f05bb\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9ed46d74-406b-45ad-b33e-cc359a5f05bb')\"\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",
              "      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-9ed46d74-406b-45ad-b33e-cc359a5f05bb button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 10000,\n  \"fields\": [\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 3,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          1,\n          2,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Air temperature [\\u00b0C]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.000258682915716,\n        \"min\": 23.150000000000034,\n        \"max\": 32.35000000000002,\n        \"num_unique_values\": 93,\n        \"samples\": [\n          27.150000000000034,\n          24.75,\n          28.650000000000034\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Process temperature [\\u00b0C]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.4837342191657485,\n        \"min\": 33.55000000000001,\n        \"max\": 41.650000000000034,\n        \"num_unique_values\": 82,\n        \"samples\": [\n          35.05000000000001,\n          36.450000000000045,\n          37.950000000000045\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rotational speed [rpm]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 179,\n        \"min\": 1168,\n        \"max\": 2886,\n        \"num_unique_values\": 941,\n        \"samples\": [\n          1274,\n          1576,\n          2010\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Torque [Nm]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9.968933725121401,\n        \"min\": 3.8,\n        \"max\": 76.6,\n        \"num_unique_values\": 577,\n        \"samples\": [\n          36.1,\n          65.9,\n          12.6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Tool wear [min]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 63,\n        \"min\": 0,\n        \"max\": 253,\n        \"num_unique_values\": 246,\n        \"samples\": [\n          93,\n          14,\n          215\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Target\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Failure Type\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 6,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Temperature difference [\\u00b0C]\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0010938127779054,\n        \"min\": 7.599999999999966,\n        \"max\": 12.100000000000023,\n        \"num_unique_values\": 83,\n        \"samples\": [\n          11.300000000000011,\n          10.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import LabelEncoder\n",
        "scaler = LabelEncoder()\n",
        "df['Failure Type'] = scaler.fit_transform(df['Failure Type'])"
      ],
      "metadata": {
        "id": "KZEEwEJk0yxe"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = df.drop(columns=\"Failure Type\" , axis=1)\n",
        "y = df[\"Failure Type\"]"
      ],
      "metadata": {
        "id": "I1FG2rFl03t4"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.2,random_state=42)"
      ],
      "metadata": {
        "id": "Y1zE6L6x1DRq"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,5))\n",
        "ax = sns.countplot(x = y_train, palette = 'tab10')\n",
        "t= len(y_train)\n",
        "for p in ax.patches:\n",
        "    percentage = f'{100 * p.get_height() / t:.1f}%\\n'\n",
        "    x = p.get_x() + p.get_width() / 2\n",
        "    y = p.get_height()\n",
        "    ax.annotate(percentage, (x, y), ha='center', va='center')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 465
        },
        "id": "Eu47ZSnU1DT_",
        "outputId": "830fee2b-f19f-46d1-b612-2e6bab421ce7"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.boxplot(x = df['Rotational speed [rpm]'], color='green')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "x0-5RgurLBZq",
        "outputId": "22a877b3-2073-4723-b942-bc01670e57ec"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Rotational speed [rpm]'>"
            ]
          },
          "metadata": {},
          "execution_count": 29
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Logistic Regression**"
      ],
      "metadata": {
        "id": "XuPfU07W1Srp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.metrics import ConfusionMatrixDisplay # Import ConfusionMatrixDisplay\n",
        "\n",
        "# Logistic Regression\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "logreg = LogisticRegression()\n",
        "logreg.fit(X_train, y_train)\n",
        "y_pred_lr = logreg.predict(X_test)\n",
        "\n",
        "log_train = round(logreg.score(X_train, y_train) * 100, 2)\n",
        "log_accuracy = round(accuracy_score(y_pred_lr, y_test) * 100, 2)\n",
        "\n",
        "\n",
        "print(\"Training Accuracy    :\",log_train ,\"%\")\n",
        "print(\"Model Accuracy Score :\",log_accuracy ,\"%\")\n",
        "print(\"\\033[1m--------------------------------------------------------\\033[0m\")\n",
        "print(\"Classification_Report: \\n\",classification_report(y_test,y_pred_lr))\n",
        "print(\"\\033[1m--------------------------------------------------------\\033[0m\")\n",
        "# Use ConfusionMatrixDisplay instead of plot_confusion_matrix\n",
        "ConfusionMatrixDisplay.from_estimator(logreg, X_test, y_test);\n",
        "plt.title('Confusion Matrix');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 784
        },
        "id": "Kie9EqqM1Yv3",
        "outputId": "da284d59-02d6-427a-e133-e60a591278c6"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training Accuracy    : 96.56 %\n",
            "Model Accuracy Score : 96.85 %\n",
            "\u001b[1m--------------------------------------------------------\u001b[0m\n",
            "Classification_Report: \n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "           0       0.97      1.00      0.99      1935\n",
            "           1       0.00      0.00      0.00        20\n",
            "           2       0.00      0.00      0.00        11\n",
            "           3       0.38      0.23      0.29        13\n",
            "           4       0.00      0.00      0.00         6\n",
            "           5       0.00      0.00      0.00        15\n",
            "\n",
            "    accuracy                           0.97      2000\n",
            "   macro avg       0.22      0.21      0.21      2000\n",
            "weighted avg       0.94      0.97      0.96      2000\n",
            "\n",
            "\u001b[1m--------------------------------------------------------\u001b[0m\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Decision Tree Classifier**"
      ],
      "metadata": {
        "id": "mDx8J-Y62I6A"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Decision Tree\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.metrics import ConfusionMatrixDisplay # Import ConfusionMatrixDisplay\n",
        "\n",
        "decision = DecisionTreeClassifier()\n",
        "decision.fit(X_train, y_train)\n",
        "y_pred_dec = decision.predict(X_test)\n",
        "\n",
        "decision_train = round(decision.score(X_train, y_train) * 100, 2)\n",
        "decision_accuracy = round(accuracy_score(y_pred_dec, y_test) * 100, 2)\n",
        "\n",
        "print(\"Training Accuracy    :\",decision_train ,\"%\")\n",
        "print(\"Model Accuracy Score :\",decision_accuracy ,\"%\")\n",
        "print(\"\\033[1m--------------------------------------------------------\\033[0m\")\n",
        "print(\"Classification_Report: \\n\",classification_report(y_test,y_pred_dec))\n",
        "print(\"\\033[1m--------------------------------------------------------\\033[0m\")\n",
        "# Use ConfusionMatrixDisplay.from_estimator instead of plot_confusion_matrix\n",
        "ConfusionMatrixDisplay.from_estimator(decision, X_test, y_test);\n",
        "plt.title('Confusion Matrix');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 784
        },
        "id": "iI-7qGsa2IR8",
        "outputId": "bf2069e2-2ccf-46ed-a90e-ff85f196912e"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training Accuracy    : 100.0 %\n",
            "Model Accuracy Score : 98.9 %\n",
            "\u001b[1m--------------------------------------------------------\u001b[0m\n",
            "Classification_Report: \n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "           0       1.00      0.99      1.00      1935\n",
            "           1       0.94      0.80      0.86        20\n",
            "           2       1.00      0.82      0.90        11\n",
            "           3       0.81      1.00      0.90        13\n",
            "           4       0.00      0.00      0.00         6\n",
            "           5       0.88      1.00      0.94        15\n",
            "\n",
            "    accuracy                           0.99      2000\n",
            "   macro avg       0.77      0.77      0.77      2000\n",
            "weighted avg       0.99      0.99      0.99      2000\n",
            "\n",
            "\u001b[1m--------------------------------------------------------\u001b[0m\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Random Forest CLassifier**"
      ],
      "metadata": {
        "id": "nXmdpGJw2aLR"
      }
    },
    {
      "source": [
        "# Random Forest\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.metrics import ConfusionMatrixDisplay # Import ConfusionMatrixDisplay\n",
        "# Import ConfusionMatrixDisplay for plotting\n",
        "\n",
        "random_forest = RandomForestClassifier(n_estimators=100)\n",
        "random_forest.fit(X_train, y_train)\n",
        "y_pred_rf = random_forest.predict(X_test)\n",
        "random_forest.score(X_train, y_train)\n",
        "\n",
        "random_forest_train = round(random_forest.score(X_train, y_train) * 100, 2)\n",
        "random_forest_accuracy = round(accuracy_score(y_pred_rf, y_test) * 100, 2)\n",
        "\n",
        "print(\"Training Accuracy    :\",random_forest_train ,\"%\")\n",
        "print(\"Model Accuracy Score :\",random_forest_accuracy ,\"%\")\n",
        "print(\"\\033[1m--------------------------------------------------------\\033[0m\")\n",
        "print(\"Classification_Report: \\n\",classification_report(y_test,y_pred_rf))\n",
        "print(\"\\033[1m--------------------------------------------------------\\033[0m\")\n",
        "# Use ConfusionMatrixDisplay.from_estimator instead of plot_confusion_matrix\n",
        "ConfusionMatrixDisplay.from_estimator(random_forest, X_test, y_test);\n",
        "plt.title('Confusion Matrix');"
      ],
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 784
        },
        "id": "FvYEO2Kq2kpD",
        "outputId": "e4ee8765-9276-40a0-81c1-55b7c56f2141"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training Accuracy    : 100.0 %\n",
            "Model Accuracy Score : 99.4 %\n",
            "\u001b[1m--------------------------------------------------------\u001b[0m\n",
            "Classification_Report: \n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "           0       1.00      1.00      1.00      1935\n",
            "           1       0.89      0.85      0.87        20\n",
            "           2       1.00      0.91      0.95        11\n",
            "           3       0.86      0.92      0.89        13\n",
            "           4       0.00      0.00      0.00         6\n",
            "           5       0.88      1.00      0.94        15\n",
            "\n",
            "    accuracy                           0.99      2000\n",
            "   macro avg       0.77      0.78      0.77      2000\n",
            "weighted avg       0.99      0.99      0.99      2000\n",
            "\n",
            "\u001b[1m--------------------------------------------------------\u001b[0m\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **SVM**"
      ],
      "metadata": {
        "id": "ouwsZtQx2n0N"
      }
    },
    {
      "source": [
        "# Support Vector Machines\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.metrics import ConfusionMatrixDisplay # Import ConfusionMatrixDisplay\n",
        "\n",
        "svc = SVC()\n",
        "svc.fit(X_train, y_train)\n",
        "y_pred_svc = svc.predict(X_test)\n",
        "\n",
        "svc_train = round(svc.score(X_train, y_train) * 100, 2)\n",
        "svc_accuracy = round(accuracy_score(y_pred_svc, y_test) * 100, 2)\n",
        "\n",
        "print(\"Training Accuracy    :\",svc_train ,\"%\")\n",
        "print(\"Model Accuracy Score :\",svc_accuracy ,\"%\")\n",
        "print(\"\\033[1m--------------------------------------------------------\\033[0m\")\n",
        "print(\"Classification_Report: \\n\",classification_report(y_test,y_pred_svc))\n",
        "print(\"\\033[1m--------------------------------------------------------\\033[0m\")\n",
        "# Use ConfusionMatrixDisplay.from_estimator instead of plot_confusion_matrix\n",
        "ConfusionMatrixDisplay.from_estimator(svc, X_test, y_test);\n",
        "plt.title('Confusion Matrix');"
      ],
      "cell_type": "code",
      "metadata": {
        "id": "ckLJobtg2z3E",
        "outputId": "6797dc74-e1e5-470a-8ae2-7cbb37c8888c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 784
        }
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training Accuracy    : 96.51 %\n",
            "Model Accuracy Score : 96.8 %\n",
            "\u001b[1m--------------------------------------------------------\u001b[0m\n",
            "Classification_Report: \n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "           0       0.97      1.00      0.98      1935\n",
            "           1       1.00      0.05      0.10        20\n",
            "           2       0.00      0.00      0.00        11\n",
            "           3       0.00      0.00      0.00        13\n",
            "           4       0.00      0.00      0.00         6\n",
            "           5       0.00      0.00      0.00        15\n",
            "\n",
            "    accuracy                           0.97      2000\n",
            "   macro avg       0.33      0.18      0.18      2000\n",
            "weighted avg       0.95      0.97      0.95      2000\n",
            "\n",
            "\u001b[1m--------------------------------------------------------\u001b[0m\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Model Building**"
      ],
      "metadata": {
        "id": "G6IB5J_A9Uy6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "models = pd.DataFrame({\n",
        "    'Model': [\n",
        "        'Support Vector Machines', 'Logistic Regression', 'Random Forest',\n",
        "        'Decision Tree'\n",
        "    ],\n",
        "\n",
        "    'Training Accuracy':\n",
        "    [log_train, svc_train, decision_train, random_forest_train],\n",
        "\n",
        "    'Model Accuracy Score': [\n",
        "        log_accuracy, svc_accuracy, decision_accuracy, random_forest_accuracy\n",
        "    ]\n",
        "})"
      ],
      "metadata": {
        "id": "O53uuF059ehW"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "models.sort_values(by='Model Accuracy Score', ascending=False).reset_index(drop=True, inplace = False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "HwoJQ4hR9s3J",
        "outputId": "da50f51b-ffd7-4af8-dbbf-b1c828b702d9"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                     Model  Training Accuracy  Model Accuracy Score\n",
              "0            Decision Tree             100.00                 99.40\n",
              "1            Random Forest             100.00                 98.90\n",
              "2  Support Vector Machines              96.56                 96.85\n",
              "3      Logistic Regression              96.51                 96.80"
            ],
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Support Vector Machines</td>\n",
              "      <td>96.56</td>\n",
              "      <td>96.85</td>\n",
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              "      <th>3</th>\n",
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              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"models\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"Model\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Random Forest\",\n          \"Logistic Regression\",\n          \"Decision Tree\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Training Accuracy\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.0006228196905727,\n        \"min\": 96.51,\n        \"max\": 100.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          100.0,\n          96.56,\n          96.51\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Model Accuracy Score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.357924273784569,\n        \"min\": 96.8,\n        \"max\": 99.4,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          98.9,\n          96.8,\n          99.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Result**"
      ],
      "metadata": {
        "id": "E_kCfMX8AEGu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "prediction = decision.predict(X_test)\n",
        "print(prediction)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PiDnwmuy9xC5",
        "outputId": "f12d75f8-1e74-47e3-b32f-dd86d3ce4418"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0 1 0 ... 0 1 0]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cross_checking = pd.DataFrame({'Actual' : y_test , 'Predicted' : prediction})\n",
        "cross_checking.sample(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "WqayMIbXAKny",
        "outputId": "976959ff-a90f-4e45-aeeb-6e210dba5ba3"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Actual  Predicted\n",
              "1498       0          0\n",
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              "    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-d6b6a71c-c470-440d-ab92-091976603472 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"cross_checking\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Actual\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Predicted\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    }
  ]
}