projectRF.ipynb

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      "name": "projectRF.ipynb",
      "provenance": []
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      "name": "python3",
      "display_name": "Python 3"
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      "name": "python"
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  "cells": [
    {
      "cell_type": "code",
      "execution_count": 113,
      "metadata": {
        "id": "34PNrzh8-V9G"
      },
      "outputs": [],
      "source": [
        "from google.colab import drive"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "drive.mount ('/content/drive')"
      ],
      "metadata": {
        "id": "PnwY7oOg-YpV",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7a249738-4afb-42b5-eaed-46ca20c6dd54"
      },
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cd /content/drive/\"MyDrive/machine learning /machine-learning-master\""
      ],
      "metadata": {
        "id": "c5n2Dl5x-g1W",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5c9ead5b-daaf-4995-b32d-c8266650d8f3"
      },
      "execution_count": 115,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/machine learning /machine-learning-master\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "import matplotlib.pyplot as plt\n"
      ],
      "metadata": {
        "id": "aGd6fjZl-pKT"
      },
      "execution_count": 116,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dataset = pd.read_csv(\"predictive_maintenance.csv\")\n"
      ],
      "metadata": {
        "id": "xW7_2Hly-sfA"
      },
      "execution_count": 117,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dataset"
      ],
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        "id": "8l_6x_Qn-vX3",
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          "height": 423
        },
        "outputId": "e38eca0a-c28b-4e90-e86b-916ce9fb479c"
      },
      "execution_count": 118,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "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",
              "9995   9996     M24855    M                298.8                    308.4   \n",
              "9996   9997     H39410    H                298.9                    308.4   \n",
              "9997   9998     M24857    M                299.0                    308.6   \n",
              "9998   9999     H39412    H                299.0                    308.7   \n",
              "9999  10000     M24859    M                299.0                    308.7   \n",
              "\n",
              "      Rotational speed [rpm]  Torque [Nm]  Tool wear [min]  Target  \\\n",
              "0                       1551         42.8                0       0   \n",
              "1                       1408         46.3                3       0   \n",
              "2                       1498         49.4                5       0   \n",
              "3                       1433         39.5                7       0   \n",
              "4                       1408         40.0                9       0   \n",
              "...                      ...          ...              ...     ...   \n",
              "9995                    1604         29.5               14       0   \n",
              "9996                    1632         31.8               17       0   \n",
              "9997                    1645         33.4               22       0   \n",
              "9998                    1408         48.5               25       0   \n",
              "9999                    1500         40.2               30       0   \n",
              "\n",
              "     Failure Type  \n",
              "0      No Failure  \n",
              "1      No Failure  \n",
              "2      No Failure  \n",
              "3      No Failure  \n",
              "4      No Failure  \n",
              "...           ...  \n",
              "9995   No Failure  \n",
              "9996   No Failure  \n",
              "9997   No Failure  \n",
              "9998   No Failure  \n",
              "9999   No Failure  \n",
              "\n",
              "[10000 rows x 10 columns]"
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              "      <th></th>\n",
              "      <th>UDI</th>\n",
              "      <th>Product ID</th>\n",
              "      <th>Type</th>\n",
              "      <th>Air temperature [K]</th>\n",
              "      <th>Process temperature [K]</th>\n",
              "      <th>Rotational speed [rpm]</th>\n",
              "      <th>Torque [Nm]</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>M14860</td>\n",
              "      <td>M</td>\n",
              "      <td>298.1</td>\n",
              "      <td>308.6</td>\n",
              "      <td>1551</td>\n",
              "      <td>42.8</td>\n",
              "      <td>0</td>\n",
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              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>L47181</td>\n",
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              "      <td>298.2</td>\n",
              "      <td>308.7</td>\n",
              "      <td>1408</td>\n",
              "      <td>46.3</td>\n",
              "      <td>3</td>\n",
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              "      <td>No Failure</td>\n",
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              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>L47182</td>\n",
              "      <td>L</td>\n",
              "      <td>298.1</td>\n",
              "      <td>308.5</td>\n",
              "      <td>1498</td>\n",
              "      <td>49.4</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>No Failure</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>L47183</td>\n",
              "      <td>L</td>\n",
              "      <td>298.2</td>\n",
              "      <td>308.6</td>\n",
              "      <td>1433</td>\n",
              "      <td>39.5</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>No Failure</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>L47184</td>\n",
              "      <td>L</td>\n",
              "      <td>298.2</td>\n",
              "      <td>308.7</td>\n",
              "      <td>1408</td>\n",
              "      <td>40.0</td>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>No Failure</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>9995</th>\n",
              "      <td>9996</td>\n",
              "      <td>M24855</td>\n",
              "      <td>M</td>\n",
              "      <td>298.8</td>\n",
              "      <td>308.4</td>\n",
              "      <td>1604</td>\n",
              "      <td>29.5</td>\n",
              "      <td>14</td>\n",
              "      <td>0</td>\n",
              "      <td>No Failure</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9996</th>\n",
              "      <td>9997</td>\n",
              "      <td>H39410</td>\n",
              "      <td>H</td>\n",
              "      <td>298.9</td>\n",
              "      <td>308.4</td>\n",
              "      <td>1632</td>\n",
              "      <td>31.8</td>\n",
              "      <td>17</td>\n",
              "      <td>0</td>\n",
              "      <td>No Failure</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9997</th>\n",
              "      <td>9998</td>\n",
              "      <td>M24857</td>\n",
              "      <td>M</td>\n",
              "      <td>299.0</td>\n",
              "      <td>308.6</td>\n",
              "      <td>1645</td>\n",
              "      <td>33.4</td>\n",
              "      <td>22</td>\n",
              "      <td>0</td>\n",
              "      <td>No Failure</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9998</th>\n",
              "      <td>9999</td>\n",
              "      <td>H39412</td>\n",
              "      <td>H</td>\n",
              "      <td>299.0</td>\n",
              "      <td>308.7</td>\n",
              "      <td>1408</td>\n",
              "      <td>48.5</td>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
              "      <td>No Failure</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9999</th>\n",
              "      <td>10000</td>\n",
              "      <td>M24859</td>\n",
              "      <td>M</td>\n",
              "      <td>299.0</td>\n",
              "      <td>308.7</td>\n",
              "      <td>1500</td>\n",
              "      <td>40.2</td>\n",
              "      <td>30</td>\n",
              "      <td>0</td>\n",
              "      <td>No Failure</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10000 rows × 10 columns</p>\n",
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              "          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",
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          },
          "metadata": {},
          "execution_count": 118
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "type(dataset)"
      ],
      "metadata": {
        "id": "Ryd8ZtHH-ySs",
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          "base_uri": "https://localhost:8080/"
        },
        "outputId": "229ab417-c08e-4ada-f014-955a0f313739"
      },
      "execution_count": 119,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas.core.frame.DataFrame"
            ]
          },
          "metadata": {},
          "execution_count": 119
        }
      ]
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    {
      "cell_type": "code",
      "source": [
        "dataf=pd.DataFrame(dataset)"
      ],
      "metadata": {
        "id": "nyGlDnb6-4KD"
      },
      "execution_count": 120,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "dataf.describe()"
      ],
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        "outputId": "efe3cd9f-7448-435d-c533-18a2d2dc7940"
      },
      "execution_count": 121,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               UDI  Air temperature [K]  Process temperature [K]  \\\n",
              "count  10000.00000         10000.000000             10000.000000   \n",
              "mean    5000.50000           300.004930               310.005560   \n",
              "std     2886.89568             2.000259                 1.483734   \n",
              "min        1.00000           295.300000               305.700000   \n",
              "25%     2500.75000           298.300000               308.800000   \n",
              "50%     5000.50000           300.100000               310.100000   \n",
              "75%     7500.25000           301.500000               311.100000   \n",
              "max    10000.00000           304.500000               313.800000   \n",
              "\n",
              "       Rotational speed [rpm]   Torque [Nm]  Tool wear [min]        Target  \n",
              "count            10000.000000  10000.000000     10000.000000  10000.000000  \n",
              "mean              1538.776100     39.986910       107.951000      0.033900  \n",
              "std                179.284096      9.968934        63.654147      0.180981  \n",
              "min               1168.000000      3.800000         0.000000      0.000000  \n",
              "25%               1423.000000     33.200000        53.000000      0.000000  \n",
              "50%               1503.000000     40.100000       108.000000      0.000000  \n",
              "75%               1612.000000     46.800000       162.000000      0.000000  \n",
              "max               2886.000000     76.600000       253.000000      1.000000  "
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>UDI</th>\n",
              "      <th>Air temperature [K]</th>\n",
              "      <th>Process temperature [K]</th>\n",
              "      <th>Rotational speed [rpm]</th>\n",
              "      <th>Torque [Nm]</th>\n",
              "      <th>Tool wear [min]</th>\n",
              "      <th>Target</th>\n",
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              "      <th>count</th>\n",
              "      <td>10000.00000</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>5000.50000</td>\n",
              "      <td>300.004930</td>\n",
              "      <td>310.005560</td>\n",
              "      <td>1538.776100</td>\n",
              "      <td>39.986910</td>\n",
              "      <td>107.951000</td>\n",
              "      <td>0.033900</td>\n",
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              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>2886.89568</td>\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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.00000</td>\n",
              "      <td>295.300000</td>\n",
              "      <td>305.700000</td>\n",
              "      <td>1168.000000</td>\n",
              "      <td>3.800000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2500.75000</td>\n",
              "      <td>298.300000</td>\n",
              "      <td>308.800000</td>\n",
              "      <td>1423.000000</td>\n",
              "      <td>33.200000</td>\n",
              "      <td>53.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>5000.50000</td>\n",
              "      <td>300.100000</td>\n",
              "      <td>310.100000</td>\n",
              "      <td>1503.000000</td>\n",
              "      <td>40.100000</td>\n",
              "      <td>108.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>7500.25000</td>\n",
              "      <td>301.500000</td>\n",
              "      <td>311.100000</td>\n",
              "      <td>1612.000000</td>\n",
              "      <td>46.800000</td>\n",
              "      <td>162.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>10000.00000</td>\n",
              "      <td>304.500000</td>\n",
              "      <td>313.800000</td>\n",
              "      <td>2886.000000</td>\n",
              "      <td>76.600000</td>\n",
              "      <td>253.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8b09a9f9-7db4-4697-96c3-ea49974b3f08')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    .colab-df-convert {\n",
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              "\n",
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              "          const element = document.querySelector('#df-8b09a9f9-7db4-4697-96c3-ea49974b3f08');\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",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 121
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "Air_temperature_value=dataf.iloc[0:10000,3:4]\n",
        "Process_temperature_value=dataf.iloc[0:10000,4:5]\n",
        "Rotational_speed_value=dataf.iloc[0:10000,5:6]\n",
        "Torque_value=dataf.iloc[0:10000,6:7]\n",
        "Tool_wear_value=dataf.iloc[0:10000,7:8]\n",
        "Target_value=dataf.iloc[0:10000,8:9]"
      ],
      "metadata": {
        "id": "NbK6PV_2-9dF"
      },
      "execution_count": 122,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Air_temperature_value"
      ],
      "metadata": {
        "id": "UoPucaL6_Aqy",
        "colab": {
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          "height": 423
        },
        "outputId": "7a41a511-579d-4283-f1ca-5709b651dc95"
      },
      "execution_count": 123,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Air temperature [K]\n",
              "0                   298.1\n",
              "1                   298.2\n",
              "2                   298.1\n",
              "3                   298.2\n",
              "4                   298.2\n",
              "...                   ...\n",
              "9995                298.8\n",
              "9996                298.9\n",
              "9997                299.0\n",
              "9998                299.0\n",
              "9999                299.0\n",
              "\n",
              "[10000 rows x 1 columns]"
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              "  <div id=\"df-626ab72a-463f-4ee2-a2c1-331505d12b00\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "      <th></th>\n",
              "      <th>Air temperature [K]</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>298.1</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>298.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>298.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>298.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>298.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>9995</th>\n",
              "      <td>298.8</td>\n",
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              "    <tr>\n",
              "      <th>9996</th>\n",
              "      <td>298.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9997</th>\n",
              "      <td>299.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9998</th>\n",
              "      <td>299.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9999</th>\n",
              "      <td>299.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10000 rows × 1 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-626ab72a-463f-4ee2-a2c1-331505d12b00')\"\n",
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              "              style=\"display:none;\">\n",
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              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "\n",
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              "\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-626ab72a-463f-4ee2-a2c1-331505d12b00');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "  "
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    {
      "cell_type": "code",
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        " Process_temperature_value"
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          "height": 423
        },
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      },
      "execution_count": 124,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Process temperature [K]\n",
              "0                       308.6\n",
              "1                       308.7\n",
              "2                       308.5\n",
              "3                       308.6\n",
              "4                       308.7\n",
              "...                       ...\n",
              "9995                    308.4\n",
              "9996                    308.4\n",
              "9997                    308.6\n",
              "9998                    308.7\n",
              "9999                    308.7\n",
              "\n",
              "[10000 rows x 1 columns]"
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              "      <th>Process temperature [K]</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>308.6</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>308.7</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>308.5</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>308.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>308.7</td>\n",
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              "    <tr>\n",
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              "    <tr>\n",
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              "      <td>308.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9997</th>\n",
              "      <td>308.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9998</th>\n",
              "      <td>308.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9999</th>\n",
              "      <td>308.7</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10000 rows × 1 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4d09ceeb-51b3-4d7b-b7a9-99b4f7eceb7b')\"\n",
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              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
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              "    .colab-df-container {\n",
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              "\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
              "      <script>\n",
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              "        buttonEl.style.display =\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-4d09ceeb-51b3-4d7b-b7a9-99b4f7eceb7b');\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",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 124
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Rotational_speed_value"
      ],
      "metadata": {
        "id": "PoVZeqdJx8Y2",
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          "height": 423
        },
        "outputId": "490ca9ba-4795-4e53-be9c-0075ec44307c"
      },
      "execution_count": 125,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "      Rotational speed [rpm]\n",
              "0                       1551\n",
              "1                       1408\n",
              "2                       1498\n",
              "3                       1433\n",
              "4                       1408\n",
              "...                      ...\n",
              "9995                    1604\n",
              "9996                    1632\n",
              "9997                    1645\n",
              "9998                    1408\n",
              "9999                    1500\n",
              "\n",
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              "      <th>9999</th>\n",
              "      <td>1500</td>\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
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              "\n",
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              "            '<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",
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              "  "
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    {
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      "source": [
        "Torque_value"
      ],
      "metadata": {
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          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "outputId": "c40f8be2-da14-4b74-9a3f-3276fe3dba4b"
      },
      "execution_count": 126,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Torque [Nm]\n",
              "0            42.8\n",
              "1            46.3\n",
              "2            49.4\n",
              "3            39.5\n",
              "4            40.0\n",
              "...           ...\n",
              "9995         29.5\n",
              "9996         31.8\n",
              "9997         33.4\n",
              "9998         48.5\n",
              "9999         40.2\n",
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              "[10000 rows x 1 columns]"
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              "\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-eca08d09-90d6-4778-b7b5-0732e4caf5db');\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",
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    {
      "cell_type": "code",
      "source": [
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "Tool_wear_value"
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          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "outputId": "60db33cb-4061-4bf1-b7d8-02147cede675"
      },
      "execution_count": 127,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Tool wear [min]\n",
              "0                   0\n",
              "1                   3\n",
              "2                   5\n",
              "3                   7\n",
              "4                   9\n",
              "...               ...\n",
              "9995               14\n",
              "9996               17\n",
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              "      <th>9999</th>\n",
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              "<p>10000 rows × 1 columns</p>\n",
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              "            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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              "          element.appendChild(docLink);\n",
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          "metadata": {},
          "execution_count": 127
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        "outputId": "b8f22f1c-3efe-49c5-fe25-f96024fe11d0"
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      "execution_count": 128,
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    {
      "cell_type": "code",
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        "dataf = pd.read_csv(\"predictive_maintenance.csv\", index_col =\"UDI\" )\n",
        "dataf.drop([\"Product ID\", \"Type\"], axis = 1, inplace = True)\n",
        "\n",
        "dataf"
      ],
      "metadata": {
        "id": "43elMBN-_mLp",
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          "height": 455
        },
        "outputId": "986b66a4-a106-47ec-91fd-103de88d67d2"
      },
      "execution_count": 129,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Air temperature [K]  Process temperature [K]  Rotational speed [rpm]  \\\n",
              "UDI                                                                           \n",
              "1                    298.1                    308.6                    1551   \n",
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              "       Torque [Nm]  Tool wear [min]  Target Failure Type  \n",
              "UDI                                                       \n",
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              "9998          33.4               22       0   No Failure  \n",
              "9999          48.5               25       0   No Failure  \n",
              "10000         40.2               30       0   No Failure  \n",
              "\n",
              "[10000 rows x 7 columns]"
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              "      <td>1500</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>10000 rows × 7 columns</p>\n",
              "</div>\n",
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              "\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-98074c29-3c57-4d7c-aba5-101ace1a5ab8');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 129
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dataf=pd.get_dummies(dataf)\n",
        "dataf"
      ],
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        "id": "v7wlT1yCA2Zm",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 534
        },
        "outputId": "15dd86bf-cb4c-4c07-cb59-3a2bc75b3c93"
      },
      "execution_count": 130,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Air temperature [K]  Process temperature [K]  Rotational speed [rpm]  \\\n",
              "UDI                                                                           \n",
              "1                    298.1                    308.6                    1551   \n",
              "2                    298.2                    308.7                    1408   \n",
              "3                    298.1                    308.5                    1498   \n",
              "4                    298.2                    308.6                    1433   \n",
              "5                    298.2                    308.7                    1408   \n",
              "...                    ...                      ...                     ...   \n",
              "9996                 298.8                    308.4                    1604   \n",
              "9997                 298.9                    308.4                    1632   \n",
              "9998                 299.0                    308.6                    1645   \n",
              "9999                 299.0                    308.7                    1408   \n",
              "10000                299.0                    308.7                    1500   \n",
              "\n",
              "       Torque [Nm]  Tool wear [min]  Target  \\\n",
              "UDI                                           \n",
              "1             42.8                0       0   \n",
              "2             46.3                3       0   \n",
              "3             49.4                5       0   \n",
              "4             39.5                7       0   \n",
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              "...            ...              ...     ...   \n",
              "9996          29.5               14       0   \n",
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              "10000         40.2               30       0   \n",
              "\n",
              "       Failure Type_Heat Dissipation Failure  Failure Type_No Failure  \\\n",
              "UDI                                                                     \n",
              "1                                          0                        1   \n",
              "2                                          0                        1   \n",
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              "UDI                                                                  \n",
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          "metadata": {},
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        "dataf.shape"
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      "outputs": [
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          "data": {
            "text/plain": [
              "(10000, 12)"
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          "metadata": {},
          "execution_count": 131
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      "execution_count": 133,
      "outputs": []
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      "outputs": []
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              "       Air temperature [K]  Process temperature [K]  Rotational speed [rpm]  \\\n",
              "UDI                                                                           \n",
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              "10000                299.0                    308.7                    1500   \n",
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              "       Torque [Nm]  Tool wear [min]  Failure Type_Heat Dissipation Failure  \\\n",
              "UDI                                                                          \n",
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              "9999          48.5               25                                      0   \n",
              "10000         40.2               30                                      0   \n",
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              "       Failure Type_No Failure  Failure Type_Overstrain Failure  \\\n",
              "UDI                                                               \n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>298.1</td>\n",
              "      <td>308.5</td>\n",
              "      <td>1498</td>\n",
              "      <td>49.4</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>298.2</td>\n",
              "      <td>308.6</td>\n",
              "      <td>1433</td>\n",
              "      <td>39.5</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>298.2</td>\n",
              "      <td>308.7</td>\n",
              "      <td>1408</td>\n",
              "      <td>40.0</td>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9996</th>\n",
              "      <td>298.8</td>\n",
              "      <td>308.4</td>\n",
              "      <td>1604</td>\n",
              "      <td>29.5</td>\n",
              "      <td>14</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9997</th>\n",
              "      <td>298.9</td>\n",
              "      <td>308.4</td>\n",
              "      <td>1632</td>\n",
              "      <td>31.8</td>\n",
              "      <td>17</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9998</th>\n",
              "      <td>299.0</td>\n",
              "      <td>308.6</td>\n",
              "      <td>1645</td>\n",
              "      <td>33.4</td>\n",
              "      <td>22</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9999</th>\n",
              "      <td>299.0</td>\n",
              "      <td>308.7</td>\n",
              "      <td>1408</td>\n",
              "      <td>48.5</td>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10000</th>\n",
              "      <td>299.0</td>\n",
              "      <td>308.7</td>\n",
              "      <td>1500</td>\n",
              "      <td>40.2</td>\n",
              "      <td>30</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10000 rows × 11 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9f942068-d7c2-4c46-8ba9-1944c482a7d5')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\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",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-9f942068-d7c2-4c46-8ba9-1944c482a7d5 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-9f942068-d7c2-4c46-8ba9-1944c482a7d5');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 135
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dataf_list=list(dataf.columns)\n",
        "dataf=np.array(dataf)"
      ],
      "metadata": {
        "id": "Q0h_JvUTDS0o"
      },
      "execution_count": 136,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x"
      ],
      "metadata": {
        "id": "hQGWS4PJEDhI",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a93523d5-671f-4f1b-9c4b-d6630e6eedb4"
      },
      "execution_count": 137,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 298.1,  308.6, 1551. , ...,    0. ,    0. ,    0. ],\n",
              "       [ 298.2,  308.7, 1408. , ...,    0. ,    0. ,    0. ],\n",
              "       [ 298.1,  308.5, 1498. , ...,    0. ,    0. ,    0. ],\n",
              "       ...,\n",
              "       [ 299. ,  308.6, 1645. , ...,    0. ,    0. ,    0. ],\n",
              "       [ 299. ,  308.7, 1408. , ...,    0. ,    0. ,    0. ],\n",
              "       [ 299. ,  308.7, 1500. , ...,    0. ,    0. ,    0. ]])"
            ]
          },
          "metadata": {},
          "execution_count": 137
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dataf_list"
      ],
      "metadata": {
        "id": "Wtv2CyXGEfgV",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4dba8180-e33c-41b2-a014-cce8c2a24a9f"
      },
      "execution_count": 138,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Air temperature [K]',\n",
              " 'Process temperature [K]',\n",
              " 'Rotational speed [rpm]',\n",
              " 'Torque [Nm]',\n",
              " 'Tool wear [min]',\n",
              " 'Failure Type_Heat Dissipation Failure',\n",
              " 'Failure Type_No Failure',\n",
              " 'Failure Type_Overstrain Failure',\n",
              " 'Failure Type_Power Failure',\n",
              " 'Failure Type_Random Failures',\n",
              " 'Failure Type_Tool Wear Failure']"
            ]
          },
          "metadata": {},
          "execution_count": 138
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split"
      ],
      "metadata": {
        "id": "CAfoC51MEiPx"
      },
      "execution_count": 139,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_dataf,test_dataf,train_labels,test_labels=train_test_split(dataf,labels,test_size=0.25,random_state=42)"
      ],
      "metadata": {
        "id": "XOmJcxhQFbIK"
      },
      "execution_count": 140,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_labels.shape"
      ],
      "metadata": {
        "id": "BAbnVAdkGEBQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f308ed6d-51a5-4148-8237-c0f2cc6b9e87"
      },
      "execution_count": 141,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2500,)"
            ]
          },
          "metadata": {},
          "execution_count": 141
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.ensemble import RandomForestRegressor"
      ],
      "metadata": {
        "id": "wvZwO8zmGTSx"
      },
      "execution_count": 142,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "rf=RandomForestRegressor(n_estimators=1000,random_state=42)"
      ],
      "metadata": {
        "id": "2Ky6z4mxJpdg"
      },
      "execution_count": 143,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "rf.fit(train_dataf,train_labels) "
      ],
      "metadata": {
        "id": "6XIzUkIRMdVs",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "21903da6-26f7-4ac8-aea6-d8f6b5e04d0b"
      },
      "execution_count": 144,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestRegressor(n_estimators=1000, random_state=42)"
            ]
          },
          "metadata": {},
          "execution_count": 144
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "predections=rf.predict(test_dataf)"
      ],
      "metadata": {
        "id": "t2YeJM_DNtDA"
      },
      "execution_count": 145,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_labels.shape"
      ],
      "metadata": {
        "id": "Kf413YncPSiL",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "52c4ec41-c211-4852-8e95-662d71e2d4a4"
      },
      "execution_count": 146,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2500,)"
            ]
          },
          "metadata": {},
          "execution_count": 146
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "\n",
        "predections"
      ],
      "metadata": {
        "id": "r1rnOpTi6Rxt",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4c14d215-788a-4c51-d4d3-929922ac1ba5"
      },
      "execution_count": 147,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0., 0., 0., ..., 0., 0., 0.])"
            ]
          },
          "metadata": {},
          "execution_count": 147
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_predections = predections.astype(int)\n",
        "print(new_predections)"
      ],
      "metadata": {
        "id": "6U6IA53atvqm",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e191fd63-17d7-409e-a1b8-93e1e0e08a11"
      },
      "execution_count": 148,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0 0 0 ... 0 0 0]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_predections.reshape(-1, 1)"
      ],
      "metadata": {
        "id": "Pcl4EFbnvmiq",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2d9d4aef-d7da-4051-fe99-c532a29d4ff2"
      },
      "execution_count": 149,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0],\n",
              "       [0],\n",
              "       [0],\n",
              "       ...,\n",
              "       [0],\n",
              "       [0],\n",
              "       [0]])"
            ]
          },
          "metadata": {},
          "execution_count": 149
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "add loop to compare and find the error \n"
      ],
      "metadata": {
        "id": "ao-VjoQw6UIg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "new_predections.shape"
      ],
      "metadata": {
        "id": "d39lZF6hyoXM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2e4be07f-b4c8-45c5-b3f2-63987ec3f678"
      },
      "execution_count": 150,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2500,)"
            ]
          },
          "metadata": {},
          "execution_count": 150
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        ""
      ],
      "metadata": {
        "id": "Z4vIPqn37OZ3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "test_labels"
      ],
      "metadata": {
        "id": "fdhaFLAMzXHM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9d650d2a-3c41-44ab-bc98-7e5265624741"
      },
      "execution_count": 151,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1, 0, ..., 0, 0, 0])"
            ]
          },
          "metadata": {},
          "execution_count": 151
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_test_labels =test_labels.astype(int)\n",
        "print(new_test_labels)"
      ],
      "metadata": {
        "id": "spA8JpmbvGjH",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a99c5b3c-0b81-4f98-8572-364efc353cad"
      },
      "execution_count": 152,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0 1 0 ... 0 0 0]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_test_labels.reshape(-1, 1)"
      ],
      "metadata": {
        "id": "zdao7OkAv6PG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "95bd6dd2-f444-470f-e6d1-9ff202280241"
      },
      "execution_count": 153,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0],\n",
              "       [1],\n",
              "       [0],\n",
              "       ...,\n",
              "       [0],\n",
              "       [0],\n",
              "       [0]])"
            ]
          },
          "metadata": {},
          "execution_count": 153
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import accuracy_score\n",
        "print(\" accuracy : {} \".format(accuracy_score(new_test_labels, new_predections)))"
      ],
      "metadata": {
        "id": "jwrbZwi-xRpM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c5120ca1-f0e8-407b-ecd0-ed718fcdb636"
      },
      "execution_count": 154,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " accuracy : 0.9992 \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n"
      ],
      "metadata": {
        "id": "OIgJuYGv0u44"
      },
      "execution_count": 154,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "aVZ0aeT_tDt_"
      },
      "execution_count": 154,
      "outputs": []
    }
  ]
}