naval-vessel-predictive-maintenance.ipynb

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    {
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     "output_type": "stream",
     "text": [
      "/kaggle/input/improving-naval-vessel-condition-through-machine/data.csv\n"
     ]
    }
   ],
   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load\n",
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n",
    "\n",
    "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
    "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
   ]
  },
  {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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     "exception": false,
     "start_time": "2024-03-01T19:07:32.782382",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Lever position</th>\n",
       "      <th>Ship speed (v)</th>\n",
       "      <th>Gas Turbine (GT) shaft torque (GTT) [kN m]</th>\n",
       "      <th>GT rate of revolutions (GTn) [rpm]</th>\n",
       "      <th>Gas Generator rate of revolutions (GGn) [rpm]</th>\n",
       "      <th>Starboard Propeller Torque (Ts) [kN]</th>\n",
       "      <th>Port Propeller Torque (Tp) [kN]</th>\n",
       "      <th>Hight Pressure (HP) Turbine exit temperature (T48) [C]</th>\n",
       "      <th>GT Compressor inlet air temperature (T1) [C]</th>\n",
       "      <th>GT Compressor outlet air temperature (T2) [C]</th>\n",
       "      <th>HP Turbine exit pressure (P48) [bar]</th>\n",
       "      <th>GT Compressor inlet air pressure (P1) [bar]</th>\n",
       "      <th>GT Compressor outlet air pressure (P2) [bar]</th>\n",
       "      <th>GT exhaust gas pressure (Pexh) [bar]</th>\n",
       "      <th>Turbine Injecton Control (TIC) [%]</th>\n",
       "      <th>Fuel flow (mf) [kg/s]</th>\n",
       "      <th>GT Compressor decay state coefficient</th>\n",
       "      <th>GT Turbine decay state coefficient</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1.138</td>\n",
       "      <td>3</td>\n",
       "      <td>289.964</td>\n",
       "      <td>1349.489</td>\n",
       "      <td>6677.380</td>\n",
       "      <td>7.584</td>\n",
       "      <td>7.584</td>\n",
       "      <td>464.006</td>\n",
       "      <td>288</td>\n",
       "      <td>550.563</td>\n",
       "      <td>1.096</td>\n",
       "      <td>0.998</td>\n",
       "      <td>5.947</td>\n",
       "      <td>1.019</td>\n",
       "      <td>7.137</td>\n",
       "      <td>0.082</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2.088</td>\n",
       "      <td>6</td>\n",
       "      <td>6960.180</td>\n",
       "      <td>1376.166</td>\n",
       "      <td>6828.469</td>\n",
       "      <td>28.204</td>\n",
       "      <td>28.204</td>\n",
       "      <td>635.401</td>\n",
       "      <td>288</td>\n",
       "      <td>581.658</td>\n",
       "      <td>1.331</td>\n",
       "      <td>0.998</td>\n",
       "      <td>7.282</td>\n",
       "      <td>1.019</td>\n",
       "      <td>10.655</td>\n",
       "      <td>0.287</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3.144</td>\n",
       "      <td>9</td>\n",
       "      <td>8379.229</td>\n",
       "      <td>1386.757</td>\n",
       "      <td>7111.811</td>\n",
       "      <td>60.358</td>\n",
       "      <td>60.358</td>\n",
       "      <td>606.002</td>\n",
       "      <td>288</td>\n",
       "      <td>587.587</td>\n",
       "      <td>1.389</td>\n",
       "      <td>0.998</td>\n",
       "      <td>7.574</td>\n",
       "      <td>1.020</td>\n",
       "      <td>13.086</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>4.161</td>\n",
       "      <td>12</td>\n",
       "      <td>14724.395</td>\n",
       "      <td>1547.465</td>\n",
       "      <td>7792.630</td>\n",
       "      <td>113.774</td>\n",
       "      <td>113.774</td>\n",
       "      <td>661.471</td>\n",
       "      <td>288</td>\n",
       "      <td>613.851</td>\n",
       "      <td>1.658</td>\n",
       "      <td>0.998</td>\n",
       "      <td>9.007</td>\n",
       "      <td>1.022</td>\n",
       "      <td>18.109</td>\n",
       "      <td>0.358</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>5.140</td>\n",
       "      <td>15</td>\n",
       "      <td>21636.432</td>\n",
       "      <td>1924.313</td>\n",
       "      <td>8494.777</td>\n",
       "      <td>175.306</td>\n",
       "      <td>175.306</td>\n",
       "      <td>731.494</td>\n",
       "      <td>288</td>\n",
       "      <td>645.642</td>\n",
       "      <td>2.078</td>\n",
       "      <td>0.998</td>\n",
       "      <td>11.197</td>\n",
       "      <td>1.026</td>\n",
       "      <td>26.373</td>\n",
       "      <td>0.522</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>6.175</td>\n",
       "      <td>18</td>\n",
       "      <td>29792.731</td>\n",
       "      <td>2307.404</td>\n",
       "      <td>8828.360</td>\n",
       "      <td>246.278</td>\n",
       "      <td>246.278</td>\n",
       "      <td>800.434</td>\n",
       "      <td>288</td>\n",
       "      <td>676.397</td>\n",
       "      <td>2.501</td>\n",
       "      <td>0.998</td>\n",
       "      <td>13.356</td>\n",
       "      <td>1.030</td>\n",
       "      <td>35.760</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>7.148</td>\n",
       "      <td>21</td>\n",
       "      <td>38982.180</td>\n",
       "      <td>2678.086</td>\n",
       "      <td>9132.429</td>\n",
       "      <td>332.077</td>\n",
       "      <td>332.077</td>\n",
       "      <td>854.747</td>\n",
       "      <td>288</td>\n",
       "      <td>699.954</td>\n",
       "      <td>2.963</td>\n",
       "      <td>0.998</td>\n",
       "      <td>15.679</td>\n",
       "      <td>1.035</td>\n",
       "      <td>45.881</td>\n",
       "      <td>0.908</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>8.206</td>\n",
       "      <td>24</td>\n",
       "      <td>50996.808</td>\n",
       "      <td>3087.561</td>\n",
       "      <td>9318.562</td>\n",
       "      <td>437.989</td>\n",
       "      <td>437.989</td>\n",
       "      <td>952.122</td>\n",
       "      <td>288</td>\n",
       "      <td>741.770</td>\n",
       "      <td>3.576</td>\n",
       "      <td>0.998</td>\n",
       "      <td>18.632</td>\n",
       "      <td>1.040</td>\n",
       "      <td>62.440</td>\n",
       "      <td>1.236</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>9.300</td>\n",
       "      <td>27</td>\n",
       "      <td>72763.329</td>\n",
       "      <td>3560.395</td>\n",
       "      <td>9778.528</td>\n",
       "      <td>644.905</td>\n",
       "      <td>644.905</td>\n",
       "      <td>1115.797</td>\n",
       "      <td>288</td>\n",
       "      <td>789.094</td>\n",
       "      <td>4.498</td>\n",
       "      <td>0.998</td>\n",
       "      <td>22.811</td>\n",
       "      <td>1.049</td>\n",
       "      <td>92.556</td>\n",
       "      <td>1.832</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>1.138</td>\n",
       "      <td>3</td>\n",
       "      <td>379.880</td>\n",
       "      <td>1355.375</td>\n",
       "      <td>6683.916</td>\n",
       "      <td>7.915</td>\n",
       "      <td>7.915</td>\n",
       "      <td>464.017</td>\n",
       "      <td>288</td>\n",
       "      <td>550.985</td>\n",
       "      <td>1.100</td>\n",
       "      <td>0.998</td>\n",
       "      <td>5.963</td>\n",
       "      <td>1.019</td>\n",
       "      <td>3.879</td>\n",
       "      <td>0.079</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>2.088</td>\n",
       "      <td>6</td>\n",
       "      <td>6969.176</td>\n",
       "      <td>1371.940</td>\n",
       "      <td>6828.438</td>\n",
       "      <td>27.424</td>\n",
       "      <td>27.424</td>\n",
       "      <td>635.960</td>\n",
       "      <td>288</td>\n",
       "      <td>581.440</td>\n",
       "      <td>1.330</td>\n",
       "      <td>0.998</td>\n",
       "      <td>7.272</td>\n",
       "      <td>1.019</td>\n",
       "      <td>12.785</td>\n",
       "      <td>0.289</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.976</td>\n",
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      "text/plain": [
       "    index  Lever position   Ship speed (v)   \\\n",
       "0       0            1.138                3   \n",
       "1       1            2.088                6   \n",
       "2       2            3.144                9   \n",
       "3       3            4.161               12   \n",
       "4       4            5.140               15   \n",
       "5       5            6.175               18   \n",
       "6       6            7.148               21   \n",
       "7       7            8.206               24   \n",
       "8       8            9.300               27   \n",
       "9       9            1.138                3   \n",
       "10     10            2.088                6   \n",
       "\n",
       "    Gas Turbine (GT) shaft torque (GTT) [kN m]    \\\n",
       "0                                        289.964   \n",
       "1                                       6960.180   \n",
       "2                                       8379.229   \n",
       "3                                      14724.395   \n",
       "4                                      21636.432   \n",
       "5                                      29792.731   \n",
       "6                                      38982.180   \n",
       "7                                      50996.808   \n",
       "8                                      72763.329   \n",
       "9                                        379.880   \n",
       "10                                      6969.176   \n",
       "\n",
       "    GT rate of revolutions (GTn) [rpm]    \\\n",
       "0                               1349.489   \n",
       "1                               1376.166   \n",
       "2                               1386.757   \n",
       "3                               1547.465   \n",
       "4                               1924.313   \n",
       "5                               2307.404   \n",
       "6                               2678.086   \n",
       "7                               3087.561   \n",
       "8                               3560.395   \n",
       "9                               1355.375   \n",
       "10                              1371.940   \n",
       "\n",
       "    Gas Generator rate of revolutions (GGn) [rpm]    \\\n",
       "0                                          6677.380   \n",
       "1                                          6828.469   \n",
       "2                                          7111.811   \n",
       "3                                          7792.630   \n",
       "4                                          8494.777   \n",
       "5                                          8828.360   \n",
       "6                                          9132.429   \n",
       "7                                          9318.562   \n",
       "8                                          9778.528   \n",
       "9                                          6683.916   \n",
       "10                                         6828.438   \n",
       "\n",
       "    Starboard Propeller Torque (Ts) [kN]    Port Propeller Torque (Tp) [kN]    \\\n",
       "0                                    7.584                              7.584   \n",
       "1                                   28.204                             28.204   \n",
       "2                                   60.358                             60.358   \n",
       "3                                  113.774                            113.774   \n",
       "4                                  175.306                            175.306   \n",
       "5                                  246.278                            246.278   \n",
       "6                                  332.077                            332.077   \n",
       "7                                  437.989                            437.989   \n",
       "8                                  644.905                            644.905   \n",
       "9                                    7.915                              7.915   \n",
       "10                                  27.424                             27.424   \n",
       "\n",
       "    Hight Pressure (HP) Turbine exit temperature (T48) [C]    \\\n",
       "0                                             464.006          \n",
       "1                                             635.401          \n",
       "2                                             606.002          \n",
       "3                                             661.471          \n",
       "4                                             731.494          \n",
       "5                                             800.434          \n",
       "6                                             854.747          \n",
       "7                                             952.122          \n",
       "8                                            1115.797          \n",
       "9                                             464.017          \n",
       "10                                            635.960          \n",
       "\n",
       "    GT Compressor inlet air temperature (T1) [C]    \\\n",
       "0                                              288   \n",
       "1                                              288   \n",
       "2                                              288   \n",
       "3                                              288   \n",
       "4                                              288   \n",
       "5                                              288   \n",
       "6                                              288   \n",
       "7                                              288   \n",
       "8                                              288   \n",
       "9                                              288   \n",
       "10                                             288   \n",
       "\n",
       "    GT Compressor outlet air temperature (T2) [C]    \\\n",
       "0                                           550.563   \n",
       "1                                           581.658   \n",
       "2                                           587.587   \n",
       "3                                           613.851   \n",
       "4                                           645.642   \n",
       "5                                           676.397   \n",
       "6                                           699.954   \n",
       "7                                           741.770   \n",
       "8                                           789.094   \n",
       "9                                           550.985   \n",
       "10                                          581.440   \n",
       "\n",
       "    HP Turbine exit pressure (P48) [bar]    \\\n",
       "0                                    1.096   \n",
       "1                                    1.331   \n",
       "2                                    1.389   \n",
       "3                                    1.658   \n",
       "4                                    2.078   \n",
       "5                                    2.501   \n",
       "6                                    2.963   \n",
       "7                                    3.576   \n",
       "8                                    4.498   \n",
       "9                                    1.100   \n",
       "10                                   1.330   \n",
       "\n",
       "    GT Compressor inlet air pressure (P1) [bar]    \\\n",
       "0                                           0.998   \n",
       "1                                           0.998   \n",
       "2                                           0.998   \n",
       "3                                           0.998   \n",
       "4                                           0.998   \n",
       "5                                           0.998   \n",
       "6                                           0.998   \n",
       "7                                           0.998   \n",
       "8                                           0.998   \n",
       "9                                           0.998   \n",
       "10                                          0.998   \n",
       "\n",
       "    GT Compressor outlet air pressure (P2) [bar]    \\\n",
       "0                                            5.947   \n",
       "1                                            7.282   \n",
       "2                                            7.574   \n",
       "3                                            9.007   \n",
       "4                                           11.197   \n",
       "5                                           13.356   \n",
       "6                                           15.679   \n",
       "7                                           18.632   \n",
       "8                                           22.811   \n",
       "9                                            5.963   \n",
       "10                                           7.272   \n",
       "\n",
       "    GT exhaust gas pressure (Pexh) [bar]    \\\n",
       "0                                    1.019   \n",
       "1                                    1.019   \n",
       "2                                    1.020   \n",
       "3                                    1.022   \n",
       "4                                    1.026   \n",
       "5                                    1.030   \n",
       "6                                    1.035   \n",
       "7                                    1.040   \n",
       "8                                    1.049   \n",
       "9                                    1.019   \n",
       "10                                   1.019   \n",
       "\n",
       "    Turbine Injecton Control (TIC) [%]    Fuel flow (mf) [kg/s]    \\\n",
       "0                                  7.137                    0.082   \n",
       "1                                 10.655                    0.287   \n",
       "2                                 13.086                    0.259   \n",
       "3                                 18.109                    0.358   \n",
       "4                                 26.373                    0.522   \n",
       "5                                 35.760                    0.708   \n",
       "6                                 45.881                    0.908   \n",
       "7                                 62.440                    1.236   \n",
       "8                                 92.556                    1.832   \n",
       "9                                  3.879                    0.079   \n",
       "10                                12.785                    0.289   \n",
       "\n",
       "    GT Compressor decay state coefficient    \\\n",
       "0                                      0.95   \n",
       "1                                      0.95   \n",
       "2                                      0.95   \n",
       "3                                      0.95   \n",
       "4                                      0.95   \n",
       "5                                      0.95   \n",
       "6                                      0.95   \n",
       "7                                      0.95   \n",
       "8                                      0.95   \n",
       "9                                      0.95   \n",
       "10                                     0.95   \n",
       "\n",
       "    GT Turbine decay state coefficient   \n",
       "0                                 0.975  \n",
       "1                                 0.975  \n",
       "2                                 0.975  \n",
       "3                                 0.975  \n",
       "4                                 0.975  \n",
       "5                                 0.975  \n",
       "6                                 0.975  \n",
       "7                                 0.975  \n",
       "8                                 0.975  \n",
       "9                                 0.976  \n",
       "10                                0.976  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"/kaggle/input/improving-naval-vessel-condition-through-machine/data.csv\")\n",
    "data.head(11)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "909d90e9",
   "metadata": {
    "papermill": {
     "duration": 0.010055,
     "end_time": "2024-03-01T19:07:32.934932",
     "exception": false,
     "start_time": "2024-03-01T19:07:32.924877",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Performing Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f25d3350",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:32.956612Z",
     "iopub.status.busy": "2024-03-01T19:07:32.955430Z",
     "iopub.status.idle": "2024-03-01T19:07:32.986769Z",
     "shell.execute_reply": "2024-03-01T19:07:32.984740Z"
    },
    "papermill": {
     "duration": 0.045325,
     "end_time": "2024-03-01T19:07:32.989849",
     "exception": false,
     "start_time": "2024-03-01T19:07:32.944524",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 11934 entries, 0 to 11933\n",
      "Data columns (total 19 columns):\n",
      " #   Column                                                    Non-Null Count  Dtype  \n",
      "---  ------                                                    --------------  -----  \n",
      " 0   index                                                     11934 non-null  int64  \n",
      " 1   Lever position                                            11934 non-null  float64\n",
      " 2   Ship speed (v)                                            11934 non-null  int64  \n",
      " 3   Gas Turbine (GT) shaft torque (GTT) [kN m]                11934 non-null  float64\n",
      " 4   GT rate of revolutions (GTn) [rpm]                        11934 non-null  float64\n",
      " 5   Gas Generator rate of revolutions (GGn) [rpm]             11934 non-null  float64\n",
      " 6   Starboard Propeller Torque (Ts) [kN]                      11934 non-null  float64\n",
      " 7   Port Propeller Torque (Tp) [kN]                           11934 non-null  float64\n",
      " 8   Hight Pressure (HP) Turbine exit temperature (T48) [C]    11934 non-null  float64\n",
      " 9   GT Compressor inlet air temperature (T1) [C]              11934 non-null  int64  \n",
      " 10  GT Compressor outlet air temperature (T2) [C]             11934 non-null  float64\n",
      " 11  HP Turbine exit pressure (P48) [bar]                      11934 non-null  float64\n",
      " 12  GT Compressor inlet air pressure (P1) [bar]               11934 non-null  float64\n",
      " 13  GT Compressor outlet air pressure (P2) [bar]              11934 non-null  float64\n",
      " 14  GT exhaust gas pressure (Pexh) [bar]                      11934 non-null  float64\n",
      " 15  Turbine Injecton Control (TIC) [%]                        11934 non-null  float64\n",
      " 16  Fuel flow (mf) [kg/s]                                     11934 non-null  float64\n",
      " 17  GT Compressor decay state coefficient                     11934 non-null  float64\n",
      " 18  GT Turbine decay state coefficient                        11934 non-null  float64\n",
      "dtypes: float64(16), int64(3)\n",
      "memory usage: 1.7 MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "72a1aedf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:33.011375Z",
     "iopub.status.busy": "2024-03-01T19:07:33.010692Z",
     "iopub.status.idle": "2024-03-01T19:07:33.018769Z",
     "shell.execute_reply": "2024-03-01T19:07:33.017556Z"
    },
    "papermill": {
     "duration": 0.022361,
     "end_time": "2024-03-01T19:07:33.021870",
     "exception": false,
     "start_time": "2024-03-01T19:07:32.999509",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11934, 19)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c8224278",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:33.043801Z",
     "iopub.status.busy": "2024-03-01T19:07:33.043324Z",
     "iopub.status.idle": "2024-03-01T19:07:33.059624Z",
     "shell.execute_reply": "2024-03-01T19:07:33.058469Z"
    },
    "papermill": {
     "duration": 0.031331,
     "end_time": "2024-03-01T19:07:33.063188",
     "exception": false,
     "start_time": "2024-03-01T19:07:33.031857",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 11934 entries, 0 to 11933\n",
      "Data columns (total 18 columns):\n",
      " #   Column                                                    Non-Null Count  Dtype  \n",
      "---  ------                                                    --------------  -----  \n",
      " 0   Lever position                                            11934 non-null  float64\n",
      " 1   Ship speed (v)                                            11934 non-null  int64  \n",
      " 2   Gas Turbine (GT) shaft torque (GTT) [kN m]                11934 non-null  float64\n",
      " 3   GT rate of revolutions (GTn) [rpm]                        11934 non-null  float64\n",
      " 4   Gas Generator rate of revolutions (GGn) [rpm]             11934 non-null  float64\n",
      " 5   Starboard Propeller Torque (Ts) [kN]                      11934 non-null  float64\n",
      " 6   Port Propeller Torque (Tp) [kN]                           11934 non-null  float64\n",
      " 7   Hight Pressure (HP) Turbine exit temperature (T48) [C]    11934 non-null  float64\n",
      " 8   GT Compressor inlet air temperature (T1) [C]              11934 non-null  int64  \n",
      " 9   GT Compressor outlet air temperature (T2) [C]             11934 non-null  float64\n",
      " 10  HP Turbine exit pressure (P48) [bar]                      11934 non-null  float64\n",
      " 11  GT Compressor inlet air pressure (P1) [bar]               11934 non-null  float64\n",
      " 12  GT Compressor outlet air pressure (P2) [bar]              11934 non-null  float64\n",
      " 13  GT exhaust gas pressure (Pexh) [bar]                      11934 non-null  float64\n",
      " 14  Turbine Injecton Control (TIC) [%]                        11934 non-null  float64\n",
      " 15  Fuel flow (mf) [kg/s]                                     11934 non-null  float64\n",
      " 16  GT Compressor decay state coefficient                     11934 non-null  float64\n",
      " 17  GT Turbine decay state coefficient                        11934 non-null  float64\n",
      "dtypes: float64(16), int64(2)\n",
      "memory usage: 1.6 MB\n"
     ]
    }
   ],
   "source": [
    "data= data.drop(\"index\",axis=1)\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4dd74493",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:33.086080Z",
     "iopub.status.busy": "2024-03-01T19:07:33.085109Z",
     "iopub.status.idle": "2024-03-01T19:07:33.095156Z",
     "shell.execute_reply": "2024-03-01T19:07:33.093924Z"
    },
    "papermill": {
     "duration": 0.023784,
     "end_time": "2024-03-01T19:07:33.097551",
     "exception": false,
     "start_time": "2024-03-01T19:07:33.073767",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lever position                                              0\n",
       "Ship speed (v)                                              0\n",
       "Gas Turbine (GT) shaft torque (GTT) [kN m]                  0\n",
       "GT rate of revolutions (GTn) [rpm]                          0\n",
       "Gas Generator rate of revolutions (GGn) [rpm]               0\n",
       "Starboard Propeller Torque (Ts) [kN]                        0\n",
       "Port Propeller Torque (Tp) [kN]                             0\n",
       "Hight Pressure (HP) Turbine exit temperature (T48) [C]      0\n",
       "GT Compressor inlet air temperature (T1) [C]                0\n",
       "GT Compressor outlet air temperature (T2) [C]               0\n",
       "HP Turbine exit pressure (P48) [bar]                        0\n",
       "GT Compressor inlet air pressure (P1) [bar]                 0\n",
       "GT Compressor outlet air pressure (P2) [bar]                0\n",
       "GT exhaust gas pressure (Pexh) [bar]                        0\n",
       "Turbine Injecton Control (TIC) [%]                          0\n",
       "Fuel flow (mf) [kg/s]                                       0\n",
       "GT Compressor decay state coefficient                       0\n",
       "GT Turbine decay state coefficient                          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a9b8817c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:33.121812Z",
     "iopub.status.busy": "2024-03-01T19:07:33.121195Z",
     "iopub.status.idle": "2024-03-01T19:07:33.169963Z",
     "shell.execute_reply": "2024-03-01T19:07:33.168555Z"
    },
    "papermill": {
     "duration": 0.064685,
     "end_time": "2024-03-01T19:07:33.172806",
     "exception": false,
     "start_time": "2024-03-01T19:07:33.108121",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Lever position</th>\n",
       "      <th>Ship speed (v)</th>\n",
       "      <th>Gas Turbine (GT) shaft torque (GTT) [kN m]</th>\n",
       "      <th>GT rate of revolutions (GTn) [rpm]</th>\n",
       "      <th>Gas Generator rate of revolutions (GGn) [rpm]</th>\n",
       "      <th>Starboard Propeller Torque (Ts) [kN]</th>\n",
       "      <th>Port Propeller Torque (Tp) [kN]</th>\n",
       "      <th>Hight Pressure (HP) Turbine exit temperature (T48) [C]</th>\n",
       "      <th>GT Compressor inlet air temperature (T1) [C]</th>\n",
       "      <th>GT Compressor outlet air temperature (T2) [C]</th>\n",
       "      <th>HP Turbine exit pressure (P48) [bar]</th>\n",
       "      <th>GT Compressor inlet air pressure (P1) [bar]</th>\n",
       "      <th>GT Compressor outlet air pressure (P2) [bar]</th>\n",
       "      <th>GT exhaust gas pressure (Pexh) [bar]</th>\n",
       "      <th>Turbine Injecton Control (TIC) [%]</th>\n",
       "      <th>Fuel flow (mf) [kg/s]</th>\n",
       "      <th>GT Compressor decay state coefficient</th>\n",
       "      <th>GT Turbine decay state coefficient</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.138</td>\n",
       "      <td>3</td>\n",
       "      <td>289.964</td>\n",
       "      <td>1349.489</td>\n",
       "      <td>6677.380</td>\n",
       "      <td>7.584</td>\n",
       "      <td>7.584</td>\n",
       "      <td>464.006</td>\n",
       "      <td>288</td>\n",
       "      <td>550.563</td>\n",
       "      <td>1.096</td>\n",
       "      <td>0.998</td>\n",
       "      <td>5.947</td>\n",
       "      <td>1.019</td>\n",
       "      <td>7.137</td>\n",
       "      <td>0.082</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.088</td>\n",
       "      <td>6</td>\n",
       "      <td>6960.180</td>\n",
       "      <td>1376.166</td>\n",
       "      <td>6828.469</td>\n",
       "      <td>28.204</td>\n",
       "      <td>28.204</td>\n",
       "      <td>635.401</td>\n",
       "      <td>288</td>\n",
       "      <td>581.658</td>\n",
       "      <td>1.331</td>\n",
       "      <td>0.998</td>\n",
       "      <td>7.282</td>\n",
       "      <td>1.019</td>\n",
       "      <td>10.655</td>\n",
       "      <td>0.287</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.144</td>\n",
       "      <td>9</td>\n",
       "      <td>8379.229</td>\n",
       "      <td>1386.757</td>\n",
       "      <td>7111.811</td>\n",
       "      <td>60.358</td>\n",
       "      <td>60.358</td>\n",
       "      <td>606.002</td>\n",
       "      <td>288</td>\n",
       "      <td>587.587</td>\n",
       "      <td>1.389</td>\n",
       "      <td>0.998</td>\n",
       "      <td>7.574</td>\n",
       "      <td>1.020</td>\n",
       "      <td>13.086</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.161</td>\n",
       "      <td>12</td>\n",
       "      <td>14724.395</td>\n",
       "      <td>1547.465</td>\n",
       "      <td>7792.630</td>\n",
       "      <td>113.774</td>\n",
       "      <td>113.774</td>\n",
       "      <td>661.471</td>\n",
       "      <td>288</td>\n",
       "      <td>613.851</td>\n",
       "      <td>1.658</td>\n",
       "      <td>0.998</td>\n",
       "      <td>9.007</td>\n",
       "      <td>1.022</td>\n",
       "      <td>18.109</td>\n",
       "      <td>0.358</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.140</td>\n",
       "      <td>15</td>\n",
       "      <td>21636.432</td>\n",
       "      <td>1924.313</td>\n",
       "      <td>8494.777</td>\n",
       "      <td>175.306</td>\n",
       "      <td>175.306</td>\n",
       "      <td>731.494</td>\n",
       "      <td>288</td>\n",
       "      <td>645.642</td>\n",
       "      <td>2.078</td>\n",
       "      <td>0.998</td>\n",
       "      <td>11.197</td>\n",
       "      <td>1.026</td>\n",
       "      <td>26.373</td>\n",
       "      <td>0.522</td>\n",
       "      <td>0.95</td>\n",
       "      <td>0.975</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",
       "      <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>11929</th>\n",
       "      <td>5.140</td>\n",
       "      <td>15</td>\n",
       "      <td>21624.934</td>\n",
       "      <td>1924.342</td>\n",
       "      <td>8470.013</td>\n",
       "      <td>175.239</td>\n",
       "      <td>175.239</td>\n",
       "      <td>681.658</td>\n",
       "      <td>288</td>\n",
       "      <td>628.950</td>\n",
       "      <td>2.087</td>\n",
       "      <td>0.998</td>\n",
       "      <td>10.990</td>\n",
       "      <td>1.027</td>\n",
       "      <td>23.803</td>\n",
       "      <td>0.471</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11930</th>\n",
       "      <td>6.175</td>\n",
       "      <td>18</td>\n",
       "      <td>29763.213</td>\n",
       "      <td>2306.745</td>\n",
       "      <td>8800.352</td>\n",
       "      <td>245.954</td>\n",
       "      <td>245.954</td>\n",
       "      <td>747.405</td>\n",
       "      <td>288</td>\n",
       "      <td>658.853</td>\n",
       "      <td>2.512</td>\n",
       "      <td>0.998</td>\n",
       "      <td>13.109</td>\n",
       "      <td>1.031</td>\n",
       "      <td>32.671</td>\n",
       "      <td>0.647</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11931</th>\n",
       "      <td>7.148</td>\n",
       "      <td>21</td>\n",
       "      <td>39003.867</td>\n",
       "      <td>2678.052</td>\n",
       "      <td>9120.889</td>\n",
       "      <td>332.389</td>\n",
       "      <td>332.389</td>\n",
       "      <td>796.457</td>\n",
       "      <td>288</td>\n",
       "      <td>680.393</td>\n",
       "      <td>2.982</td>\n",
       "      <td>0.998</td>\n",
       "      <td>15.420</td>\n",
       "      <td>1.036</td>\n",
       "      <td>42.104</td>\n",
       "      <td>0.834</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11932</th>\n",
       "      <td>8.206</td>\n",
       "      <td>24</td>\n",
       "      <td>50992.579</td>\n",
       "      <td>3087.434</td>\n",
       "      <td>9300.274</td>\n",
       "      <td>438.024</td>\n",
       "      <td>438.024</td>\n",
       "      <td>892.945</td>\n",
       "      <td>288</td>\n",
       "      <td>722.029</td>\n",
       "      <td>3.594</td>\n",
       "      <td>0.998</td>\n",
       "      <td>18.293</td>\n",
       "      <td>1.043</td>\n",
       "      <td>58.064</td>\n",
       "      <td>1.149</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11933</th>\n",
       "      <td>9.300</td>\n",
       "      <td>27</td>\n",
       "      <td>72775.130</td>\n",
       "      <td>3560.400</td>\n",
       "      <td>9742.950</td>\n",
       "      <td>644.880</td>\n",
       "      <td>644.880</td>\n",
       "      <td>1038.411</td>\n",
       "      <td>288</td>\n",
       "      <td>767.595</td>\n",
       "      <td>4.531</td>\n",
       "      <td>0.998</td>\n",
       "      <td>22.464</td>\n",
       "      <td>1.052</td>\n",
       "      <td>86.067</td>\n",
       "      <td>1.704</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11934 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Lever position   Ship speed (v)   \\\n",
       "0                1.138                3   \n",
       "1                2.088                6   \n",
       "2                3.144                9   \n",
       "3                4.161               12   \n",
       "4                5.140               15   \n",
       "...                ...              ...   \n",
       "11929            5.140               15   \n",
       "11930            6.175               18   \n",
       "11931            7.148               21   \n",
       "11932            8.206               24   \n",
       "11933            9.300               27   \n",
       "\n",
       "       Gas Turbine (GT) shaft torque (GTT) [kN m]    \\\n",
       "0                                           289.964   \n",
       "1                                          6960.180   \n",
       "2                                          8379.229   \n",
       "3                                         14724.395   \n",
       "4                                         21636.432   \n",
       "...                                             ...   \n",
       "11929                                     21624.934   \n",
       "11930                                     29763.213   \n",
       "11931                                     39003.867   \n",
       "11932                                     50992.579   \n",
       "11933                                     72775.130   \n",
       "\n",
       "       GT rate of revolutions (GTn) [rpm]    \\\n",
       "0                                  1349.489   \n",
       "1                                  1376.166   \n",
       "2                                  1386.757   \n",
       "3                                  1547.465   \n",
       "4                                  1924.313   \n",
       "...                                     ...   \n",
       "11929                              1924.342   \n",
       "11930                              2306.745   \n",
       "11931                              2678.052   \n",
       "11932                              3087.434   \n",
       "11933                              3560.400   \n",
       "\n",
       "       Gas Generator rate of revolutions (GGn) [rpm]    \\\n",
       "0                                             6677.380   \n",
       "1                                             6828.469   \n",
       "2                                             7111.811   \n",
       "3                                             7792.630   \n",
       "4                                             8494.777   \n",
       "...                                                ...   \n",
       "11929                                         8470.013   \n",
       "11930                                         8800.352   \n",
       "11931                                         9120.889   \n",
       "11932                                         9300.274   \n",
       "11933                                         9742.950   \n",
       "\n",
       "       Starboard Propeller Torque (Ts) [kN]    \\\n",
       "0                                       7.584   \n",
       "1                                      28.204   \n",
       "2                                      60.358   \n",
       "3                                     113.774   \n",
       "4                                     175.306   \n",
       "...                                       ...   \n",
       "11929                                 175.239   \n",
       "11930                                 245.954   \n",
       "11931                                 332.389   \n",
       "11932                                 438.024   \n",
       "11933                                 644.880   \n",
       "\n",
       "       Port Propeller Torque (Tp) [kN]    \\\n",
       "0                                  7.584   \n",
       "1                                 28.204   \n",
       "2                                 60.358   \n",
       "3                                113.774   \n",
       "4                                175.306   \n",
       "...                                  ...   \n",
       "11929                            175.239   \n",
       "11930                            245.954   \n",
       "11931                            332.389   \n",
       "11932                            438.024   \n",
       "11933                            644.880   \n",
       "\n",
       "       Hight Pressure (HP) Turbine exit temperature (T48) [C]    \\\n",
       "0                                                464.006          \n",
       "1                                                635.401          \n",
       "2                                                606.002          \n",
       "3                                                661.471          \n",
       "4                                                731.494          \n",
       "...                                                  ...          \n",
       "11929                                            681.658          \n",
       "11930                                            747.405          \n",
       "11931                                            796.457          \n",
       "11932                                            892.945          \n",
       "11933                                           1038.411          \n",
       "\n",
       "       GT Compressor inlet air temperature (T1) [C]    \\\n",
       "0                                                 288   \n",
       "1                                                 288   \n",
       "2                                                 288   \n",
       "3                                                 288   \n",
       "4                                                 288   \n",
       "...                                               ...   \n",
       "11929                                             288   \n",
       "11930                                             288   \n",
       "11931                                             288   \n",
       "11932                                             288   \n",
       "11933                                             288   \n",
       "\n",
       "       GT Compressor outlet air temperature (T2) [C]    \\\n",
       "0                                              550.563   \n",
       "1                                              581.658   \n",
       "2                                              587.587   \n",
       "3                                              613.851   \n",
       "4                                              645.642   \n",
       "...                                                ...   \n",
       "11929                                          628.950   \n",
       "11930                                          658.853   \n",
       "11931                                          680.393   \n",
       "11932                                          722.029   \n",
       "11933                                          767.595   \n",
       "\n",
       "       HP Turbine exit pressure (P48) [bar]    \\\n",
       "0                                       1.096   \n",
       "1                                       1.331   \n",
       "2                                       1.389   \n",
       "3                                       1.658   \n",
       "4                                       2.078   \n",
       "...                                       ...   \n",
       "11929                                   2.087   \n",
       "11930                                   2.512   \n",
       "11931                                   2.982   \n",
       "11932                                   3.594   \n",
       "11933                                   4.531   \n",
       "\n",
       "       GT Compressor inlet air pressure (P1) [bar]    \\\n",
       "0                                              0.998   \n",
       "1                                              0.998   \n",
       "2                                              0.998   \n",
       "3                                              0.998   \n",
       "4                                              0.998   \n",
       "...                                              ...   \n",
       "11929                                          0.998   \n",
       "11930                                          0.998   \n",
       "11931                                          0.998   \n",
       "11932                                          0.998   \n",
       "11933                                          0.998   \n",
       "\n",
       "       GT Compressor outlet air pressure (P2) [bar]    \\\n",
       "0                                               5.947   \n",
       "1                                               7.282   \n",
       "2                                               7.574   \n",
       "3                                               9.007   \n",
       "4                                              11.197   \n",
       "...                                               ...   \n",
       "11929                                          10.990   \n",
       "11930                                          13.109   \n",
       "11931                                          15.420   \n",
       "11932                                          18.293   \n",
       "11933                                          22.464   \n",
       "\n",
       "       GT exhaust gas pressure (Pexh) [bar]    \\\n",
       "0                                       1.019   \n",
       "1                                       1.019   \n",
       "2                                       1.020   \n",
       "3                                       1.022   \n",
       "4                                       1.026   \n",
       "...                                       ...   \n",
       "11929                                   1.027   \n",
       "11930                                   1.031   \n",
       "11931                                   1.036   \n",
       "11932                                   1.043   \n",
       "11933                                   1.052   \n",
       "\n",
       "       Turbine Injecton Control (TIC) [%]    Fuel flow (mf) [kg/s]    \\\n",
       "0                                     7.137                    0.082   \n",
       "1                                    10.655                    0.287   \n",
       "2                                    13.086                    0.259   \n",
       "3                                    18.109                    0.358   \n",
       "4                                    26.373                    0.522   \n",
       "...                                     ...                      ...   \n",
       "11929                                23.803                    0.471   \n",
       "11930                                32.671                    0.647   \n",
       "11931                                42.104                    0.834   \n",
       "11932                                58.064                    1.149   \n",
       "11933                                86.067                    1.704   \n",
       "\n",
       "       GT Compressor decay state coefficient    \\\n",
       "0                                         0.95   \n",
       "1                                         0.95   \n",
       "2                                         0.95   \n",
       "3                                         0.95   \n",
       "4                                         0.95   \n",
       "...                                        ...   \n",
       "11929                                     1.00   \n",
       "11930                                     1.00   \n",
       "11931                                     1.00   \n",
       "11932                                     1.00   \n",
       "11933                                     1.00   \n",
       "\n",
       "       GT Turbine decay state coefficient   \n",
       "0                                    0.975  \n",
       "1                                    0.975  \n",
       "2                                    0.975  \n",
       "3                                    0.975  \n",
       "4                                    0.975  \n",
       "...                                    ...  \n",
       "11929                                1.000  \n",
       "11930                                1.000  \n",
       "11931                                1.000  \n",
       "11932                                1.000  \n",
       "11933                                1.000  \n",
       "\n",
       "[11934 rows x 18 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c69735c0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:33.200737Z",
     "iopub.status.busy": "2024-03-01T19:07:33.199126Z",
     "iopub.status.idle": "2024-03-01T19:07:33.470139Z",
     "shell.execute_reply": "2024-03-01T19:07:33.468234Z"
    },
    "papermill": {
     "duration": 0.288659,
     "end_time": "2024-03-01T19:07:33.472860",
     "exception": false,
     "start_time": "2024-03-01T19:07:33.184201",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 11934 entries, 0 to 11933\n",
      "Data columns (total 18 columns):\n",
      " #   Column                                                    Non-Null Count  Dtype  \n",
      "---  ------                                                    --------------  -----  \n",
      " 0   Lever position                                            11934 non-null  float64\n",
      " 1   Ship speed (v)                                            11934 non-null  int64  \n",
      " 2   Gas Turbine (GT) shaft torque (GTT) [kN m]                11934 non-null  float64\n",
      " 3   GT rate of revolutions (GTn) [rpm]                        11934 non-null  float64\n",
      " 4   Gas Generator rate of revolutions (GGn) [rpm]             11934 non-null  float64\n",
      " 5   Starboard Propeller Torque (Ts) [kN]                      11934 non-null  float64\n",
      " 6   Port Propeller Torque (Tp) [kN]                           11934 non-null  float64\n",
      " 7   Hight Pressure (HP) Turbine exit temperature (T48) [C]    11934 non-null  float64\n",
      " 8   GT Compressor inlet air temperature (T1) [C]              11934 non-null  int64  \n",
      " 9   GT Compressor outlet air temperature (T2) [C]             11934 non-null  float64\n",
      " 10  HP Turbine exit pressure (P48) [bar]                      11934 non-null  float64\n",
      " 11  GT Compressor inlet air pressure (P1) [bar]               11934 non-null  float64\n",
      " 12  GT Compressor outlet air pressure (P2) [bar]              11934 non-null  float64\n",
      " 13  GT exhaust gas pressure (Pexh) [bar]                      11934 non-null  float64\n",
      " 14  Turbine Injecton Control (TIC) [%]                        11934 non-null  float64\n",
      " 15  Fuel flow (mf) [kg/s]                                     11934 non-null  float64\n",
      " 16  GT Compressor decay state coefficient                     11934 non-null  float64\n",
      " 17  GT Turbine decay state coefficient                        11934 non-null  float64\n",
      "dtypes: float64(16), int64(2)\n",
      "memory usage: 1.6 MB\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "enc = LabelEncoder()\n",
    "for i in data.columns:\n",
    "    if data[i].dtype == 'object':\n",
    "        data[i]=enc.fit_transform(data[i])\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce23fa49",
   "metadata": {
    "papermill": {
     "duration": 0.011437,
     "end_time": "2024-03-01T19:07:33.495847",
     "exception": false,
     "start_time": "2024-03-01T19:07:33.484410",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "data.head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "40784829",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:33.521884Z",
     "iopub.status.busy": "2024-03-01T19:07:33.521502Z",
     "iopub.status.idle": "2024-03-01T19:07:34.219976Z",
     "shell.execute_reply": "2024-03-01T19:07:34.218600Z"
    },
    "papermill": {
     "duration": 0.716979,
     "end_time": "2024-03-01T19:07:34.224002",
     "exception": false,
     "start_time": "2024-03-01T19:07:33.507023",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataplot=sns.heatmap(data.corr())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5cfd5442",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:34.254335Z",
     "iopub.status.busy": "2024-03-01T19:07:34.253423Z",
     "iopub.status.idle": "2024-03-01T19:07:34.365916Z",
     "shell.execute_reply": "2024-03-01T19:07:34.364601Z"
    },
    "papermill": {
     "duration": 0.130771,
     "end_time": "2024-03-01T19:07:34.368754",
     "exception": false,
     "start_time": "2024-03-01T19:07:34.237983",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "091738e6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:34.400555Z",
     "iopub.status.busy": "2024-03-01T19:07:34.400137Z",
     "iopub.status.idle": "2024-03-01T19:07:34.408356Z",
     "shell.execute_reply": "2024-03-01T19:07:34.406916Z"
    },
    "papermill": {
     "duration": 0.027816,
     "end_time": "2024-03-01T19:07:34.410867",
     "exception": false,
     "start_time": "2024-03-01T19:07:34.383051",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Lever position ', 'Ship speed (v) ',\n",
       "       'Gas Turbine (GT) shaft torque (GTT) [kN m]  ',\n",
       "       'GT rate of revolutions (GTn) [rpm]  ',\n",
       "       'Gas Generator rate of revolutions (GGn) [rpm]  ',\n",
       "       'Starboard Propeller Torque (Ts) [kN]  ',\n",
       "       'Port Propeller Torque (Tp) [kN]  ',\n",
       "       'Hight Pressure (HP) Turbine exit temperature (T48) [C]  ',\n",
       "       'GT Compressor inlet air temperature (T1) [C]  ',\n",
       "       'GT Compressor outlet air temperature (T2) [C]  ',\n",
       "       'HP Turbine exit pressure (P48) [bar]  ',\n",
       "       'GT Compressor inlet air pressure (P1) [bar]  ',\n",
       "       'GT Compressor outlet air pressure (P2) [bar]  ',\n",
       "       'GT exhaust gas pressure (Pexh) [bar]  ',\n",
       "       'Turbine Injecton Control (TIC) [%]  ', 'Fuel flow (mf) [kg/s]  ',\n",
       "       'GT Compressor decay state coefficient  ',\n",
       "       'GT Turbine decay state coefficient '],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "40aebec7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:34.441348Z",
     "iopub.status.busy": "2024-03-01T19:07:34.440917Z",
     "iopub.status.idle": "2024-03-01T19:07:34.448472Z",
     "shell.execute_reply": "2024-03-01T19:07:34.447106Z"
    },
    "papermill": {
     "duration": 0.026203,
     "end_time": "2024-03-01T19:07:34.451496",
     "exception": false,
     "start_time": "2024-03-01T19:07:34.425293",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data.columns=['Lever position ', 'Ship speed (v) ',\n",
    "       'Gas Turbine (GT) shaft torque (GTT) [kN m]  ',\n",
    "       'GT rate of revolutions (GTn) [rpm]  ',\n",
    "       'Gas Generator rate of revolutions (GGn) [rpm]  ',\n",
    "       'Starboard Propeller Torque (Ts) [kN]  ',\n",
    "       'Port Propeller Torque (Tp) [kN]  ',\n",
    "       'Hight Pressure (HP) Turbine exit temperature (T48) [C]  ',\n",
    "       'GT Compressor inlet air temperature (T1) [C]  ',\n",
    "       'GT Compressor outlet air temperature (T2) [C]  ',\n",
    "       'HP Turbine exit pressure (P48) [bar]  ',\n",
    "       'GT Compressor inlet air pressure (P1) [bar]  ',\n",
    "       'GT Compressor outlet air pressure (P2) [bar]  ',\n",
    "       'GT exhaust gas pressure (Pexh) [bar]  ',\n",
    "       'Turbine Injecton Control (TIC) [%]  ', 'Fuel flow (mf) [kg/s]  ','compressor decay','turbine decay']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2d536099",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:34.482435Z",
     "iopub.status.busy": "2024-03-01T19:07:34.482018Z",
     "iopub.status.idle": "2024-03-01T19:07:34.490958Z",
     "shell.execute_reply": "2024-03-01T19:07:34.488802Z"
    },
    "papermill": {
     "duration": 0.027591,
     "end_time": "2024-03-01T19:07:34.493793",
     "exception": false,
     "start_time": "2024-03-01T19:07:34.466202",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "y=data.loc[:,[\"compressor decay\",\"turbine decay\",]]\n",
    "x=data.drop(['compressor decay','turbine decay'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "52e8fea6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:34.524771Z",
     "iopub.status.busy": "2024-03-01T19:07:34.523689Z",
     "iopub.status.idle": "2024-03-01T19:07:34.541766Z",
     "shell.execute_reply": "2024-03-01T19:07:34.540587Z"
    },
    "papermill": {
     "duration": 0.036929,
     "end_time": "2024-03-01T19:07:34.545125",
     "exception": false,
     "start_time": "2024-03-01T19:07:34.508196",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler, Normalizer\n",
    "scaler = StandardScaler()\n",
    "x = scaler.fit_transform(x)\n",
    "x = Normalizer().fit_transform(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cdeaa1dc",
   "metadata": {
    "papermill": {
     "duration": 0.014018,
     "end_time": "2024-03-01T19:07:34.573501",
     "exception": false,
     "start_time": "2024-03-01T19:07:34.559483",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Data-splitting: Testing and Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a17d5241",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:34.604133Z",
     "iopub.status.busy": "2024-03-01T19:07:34.603442Z",
     "iopub.status.idle": "2024-03-01T19:07:34.613933Z",
     "shell.execute_reply": "2024-03-01T19:07:34.612625Z"
    },
    "papermill": {
     "duration": 0.031161,
     "end_time": "2024-03-01T19:07:34.618795",
     "exception": false,
     "start_time": "2024-03-01T19:07:34.587634",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(9547, 16) (9547, 2) (2387, 16) (2387, 2)\n"
     ]
    }
   ],
   "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=0.20)\n",
    "print(x_train.shape, y_train.shape, x_test.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1a6bf5a",
   "metadata": {
    "papermill": {
     "duration": 0.014088,
     "end_time": "2024-03-01T19:07:34.646984",
     "exception": false,
     "start_time": "2024-03-01T19:07:34.632896",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Decision Tree Regressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "627e719a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:34.678172Z",
     "iopub.status.busy": "2024-03-01T19:07:34.677789Z",
     "iopub.status.idle": "2024-03-01T19:07:35.062016Z",
     "shell.execute_reply": "2024-03-01T19:07:35.060746Z"
    },
    "papermill": {
     "duration": 0.403051,
     "end_time": "2024-03-01T19:07:35.065114",
     "exception": false,
     "start_time": "2024-03-01T19:07:34.662063",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeRegressor\n",
    "model1 = DecisionTreeRegressor(random_state=0)\n",
    "model1= model1.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "037845f9",
   "metadata": {
    "papermill": {
     "duration": 0.014705,
     "end_time": "2024-03-01T19:07:35.094471",
     "exception": false,
     "start_time": "2024-03-01T19:07:35.079766",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Evaluation: DT Regressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ae8a4c01",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:35.125593Z",
     "iopub.status.busy": "2024-03-01T19:07:35.125158Z",
     "iopub.status.idle": "2024-03-01T19:07:35.143537Z",
     "shell.execute_reply": "2024-03-01T19:07:35.142435Z"
    },
    "papermill": {
     "duration": 0.037025,
     "end_time": "2024-03-01T19:07:35.146117",
     "exception": false,
     "start_time": "2024-03-01T19:07:35.109092",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MSE      = 0.00000326\n",
      "MAE      = 0.00110\n",
      "MAPE     = 0.00112\n",
      "r2 Score = 0.9640\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error, mean_absolute_error, mean_absolute_percentage_error, r2_score\n",
    "p=model1.predict(x_test)\n",
    "print(f\"MSE      = {mean_squared_error(p,y_test):.8f}\")\n",
    "print(f\"MAE      = {mean_absolute_error(p,y_test):.5f}\")\n",
    "print(f\"MAPE     = {mean_absolute_percentage_error(p,y_test):.5f}\")\n",
    "print(f\"r2 Score = {r2_score(p,y_test):.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5a40965",
   "metadata": {
    "papermill": {
     "duration": 0.014894,
     "end_time": "2024-03-01T19:07:35.175646",
     "exception": false,
     "start_time": "2024-03-01T19:07:35.160752",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Random Forest Regressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "582a6947",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:07:35.206670Z",
     "iopub.status.busy": "2024-03-01T19:07:35.206263Z",
     "iopub.status.idle": "2024-03-01T19:08:13.807752Z",
     "shell.execute_reply": "2024-03-01T19:08:13.806657Z"
    },
    "papermill": {
     "duration": 38.63496,
     "end_time": "2024-03-01T19:08:13.825190",
     "exception": false,
     "start_time": "2024-03-01T19:07:35.190230",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(max_depth=25, n_estimators=300)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(max_depth=25, n_estimators=300)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestRegressor(max_depth=25, n_estimators=300)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "model2=RandomForestRegressor(n_estimators = 300, max_depth = 25)\n",
    "model2.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb55457b",
   "metadata": {
    "papermill": {
     "duration": 0.014551,
     "end_time": "2024-03-01T19:08:13.854955",
     "exception": false,
     "start_time": "2024-03-01T19:08:13.840404",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Evaluation: RF Regressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "339f746a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-01T19:08:13.886771Z",
     "iopub.status.busy": "2024-03-01T19:08:13.886356Z",
     "iopub.status.idle": "2024-03-01T19:08:14.114870Z",
     "shell.execute_reply": "2024-03-01T19:08:14.113703Z"
    },
    "papermill": {
     "duration": 0.247468,
     "end_time": "2024-03-01T19:08:14.117420",
     "exception": false,
     "start_time": "2024-03-01T19:08:13.869952",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MSE = 0.00000059\n",
      "MAE = 0.00040\n",
      "MAPE = 0.00041\n",
      "r2 Score = 0.9935\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error, mean_absolute_error, mean_absolute_percentage_error, r2_score\n",
    "p2=model2.predict(x_test)\n",
    "print(f\"MSE = {mean_squared_error(p2,y_test):.8f}\")\n",
    "print(f\"MAE = {mean_absolute_error(p2,y_test):.5f}\")\n",
    "print(f\"MAPE = {mean_absolute_percentage_error(p2,y_test):.5f}\")\n",
    "print(f\"r2 Score = {r2_score(p2,y_test):.4f}\")"
   ]
  }
 ],
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    {
     "datasetId": 2702571,
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   "dockerImageVersionId": 30664,
   "isGpuEnabled": false,
   "isInternetEnabled": true,
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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  "papermill": {
   "default_parameters": {},
   "duration": 47.857414,
   "end_time": "2024-03-01T19:08:14.854492",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2024-03-01T19:07:26.997078",
   "version": "2.5.0"
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