Avalanches_SVM.ipynb

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Slope_angle (degrees)  \\\n","0              190070                  2450                     32   \n","1              190345                  2270                     40   \n","2              189024                  2422                     33   \n","3              189770                  2360                     35   \n","4              190800                  2450                     37   \n","..                ...                   ...                    ...   \n","584            187794                  2280                     35   \n","585            185869                  2320                     25   \n","586            185884                  2311                     30   \n","587            185897                  2320                     25   \n","588            188989                  2460                     36   \n","\n","     Profile_class  5-class_Stability  ...  Cracks  Avalanche_activity  \\\n","0                6                  3  ...       0                   0   \n","1                1                  3  ...       0                   0   \n","2                8                  4  ...       0                   0   \n","3                7                  4  ...       0                   0   \n","4                1                  2  ...       0                   1   \n","..             ...                ...  ...     ...                 ...   \n","584              1                  4  ...       0                   0   \n","585              4                  3  ...       0                   0   \n","586              7                  3  ...       0                   0   \n","587              6                  4  ...       0                   0   \n","588              6                  3  ...       0                   0   \n","\n","     LN_Local_danger_level_nowcast  LN_rounded  \\\n","0                              2.0           2   \n","1                              2.0           2   \n","2                              2.0           2   \n","3                              2.0           2   \n","4                              2.0           2   \n","..                             ...         ...   \n","584                            2.0           2   \n","585                            2.0           2   \n","586                            2.0           2   \n","587                            2.0           2   \n","588                            2.0           2   \n","\n","     RF_Regional _danger_level_forecast  Deviation [LN-RF]  SNPK_Index  \\\n","0                                     2                  0       2.057   \n","1                                     2                  0       2.446   \n","2                                     2                  0       1.800   \n","3                                     2                  0       1.407   \n","4                                     2                  0       2.153   \n","..                                  ...                ...         ...   \n","584                                   3                 -1       1.487   \n","585                                   2                  0       2.053   \n","586                                   2                  0       0.500   \n","587                                   2                  0       1.727   \n","588                                   2                  0       2.054   \n","\n","     SNPK_Index_Class  HN24 (cm)  HN3d (cm)  \n","0                   2        2.0       10.0  \n","1                   2        0.0        8.0  \n","2                   2        0.0        5.0  \n","3                   3        0.0        3.5  \n","4                   2        0.0        5.0  \n","..                ...        ...        ...  \n","584                 3       18.0       39.0  \n","585                 2        0.0       18.0  \n","586                 5        0.0       18.0  \n","587                 2        0.0       18.0  \n","588                 2        0.0        0.0  \n","\n","[589 rows x 57 columns]"],"text/html":["\n","  <div id=\"df-a20808d4-8084-4946-82ad-6dda1a2ed5d4\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>No</th>\n","      <th>Profile_ID</th>\n","      <th>Date_time</th>\n","      <th>Aspect</th>\n","      <th>X-Coordinate (m)</th>\n","      <th>Y-Coordinate (m)</th>\n","      <th>Elevation (m a.s.l.)</th>\n","      <th>Slope_angle (degrees)</th>\n","      <th>Profile_class</th>\n","      <th>5-class_Stability</th>\n","      <th>...</th>\n","      <th>Cracks</th>\n","      <th>Avalanche_activity</th>\n","      <th>LN_Local_danger_level_nowcast</th>\n","      <th>LN_rounded</th>\n","      <th>RF_Regional _danger_level_forecast</th>\n","      <th>Deviation [LN-RF]</th>\n","      <th>SNPK_Index</th>\n","      <th>SNPK_Index_Class</th>\n","      <th>HN24 (cm)</th>\n","      <th>HN3d (cm)</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>6781</td>\n","      <td>22-01-2002 10:00</td>\n","      <td>NNE</td>\n","      <td>790000</td>\n","      <td>190070</td>\n","      <td>2450</td>\n","      <td>32</td>\n","      <td>6</td>\n","      <td>3</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2.057</td>\n","      <td>2</td>\n","      <td>2.0</td>\n","      <td>10.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>6802</td>\n","      <td>22-01-2002 12:55</td>\n","      <td>NW</td>\n","      <td>789915</td>\n","      <td>190345</td>\n","      <td>2270</td>\n","      <td>40</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2.446</td>\n","      <td>2</td>\n","      <td>0.0</td>\n","      <td>8.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>6826</td>\n","      <td>23-01-2002 10:15</td>\n","      <td>N</td>\n","      <td>790820</td>\n","      <td>189024</td>\n","      <td>2422</td>\n","      <td>33</td>\n","      <td>8</td>\n","      <td>4</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1.800</td>\n","      <td>2</td>\n","      <td>0.0</td>\n","      <td>5.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>6831</td>\n","      <td>23-01-2002 13:15</td>\n","      <td>E</td>\n","      <td>790565</td>\n","      <td>189770</td>\n","      <td>2360</td>\n","      <td>35</td>\n","      <td>7</td>\n","      <td>4</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1.407</td>\n","      <td>3</td>\n","      <td>0.0</td>\n","      <td>3.5</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>6814</td>\n","      <td>23-01-2002 14:45</td>\n","      <td>NW</td>\n","      <td>790663</td>\n","      <td>190800</td>\n","      <td>2450</td>\n","      <td>37</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2.153</td>\n","      <td>2</td>\n","      <td>0.0</td>\n","      <td>5.0</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","      <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>584</th>\n","      <td>585</td>\n","      <td>85640</td>\n","      <td>12.02.2019 12:15</td>\n","      <td>SW</td>\n","      <td>787854</td>\n","      <td>187794</td>\n","      <td>2280</td>\n","      <td>35</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>-1</td>\n","      <td>1.487</td>\n","      <td>3</td>\n","      <td>18.0</td>\n","      <td>39.0</td>\n","    </tr>\n","    <tr>\n","      <th>585</th>\n","      <td>586</td>\n","      <td>85679</td>\n","      <td>14.02.2019 11:05</td>\n","      <td>W</td>\n","      <td>778020</td>\n","      <td>185869</td>\n","      <td>2320</td>\n","      <td>25</td>\n","      <td>4</td>\n","      <td>3</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2.053</td>\n","      <td>2</td>\n","      <td>0.0</td>\n","      <td>18.0</td>\n","    </tr>\n","    <tr>\n","      <th>586</th>\n","      <td>587</td>\n","      <td>85681</td>\n","      <td>14.02.2019 10:40</td>\n","      <td>NW</td>\n","      <td>778029</td>\n","      <td>185884</td>\n","      <td>2311</td>\n","      <td>30</td>\n","      <td>7</td>\n","      <td>3</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0.500</td>\n","      <td>5</td>\n","      <td>0.0</td>\n","      <td>18.0</td>\n","    </tr>\n","    <tr>\n","      <th>587</th>\n","      <td>588</td>\n","      <td>85689</td>\n","      <td>14.02.2019 11:00</td>\n","      <td>NW</td>\n","      <td>778033</td>\n","      <td>185897</td>\n","      <td>2320</td>\n","      <td>25</td>\n","      <td>6</td>\n","      <td>4</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1.727</td>\n","      <td>2</td>\n","      <td>0.0</td>\n","      <td>18.0</td>\n","    </tr>\n","    <tr>\n","      <th>588</th>\n","      <td>589</td>\n","      <td>85784</td>\n","      <td>21.02.2019 11:15</td>\n","      <td>N</td>\n","      <td>780156</td>\n","      <td>188989</td>\n","      <td>2460</td>\n","      <td>36</td>\n","      <td>6</td>\n","      <td>3</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2.054</td>\n","      <td>2</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>589 rows × 57 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a20808d4-8084-4946-82ad-6dda1a2ed5d4')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 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Slope_angle (degrees)  \\\n","0            190070                  2450                     32   \n","1            190345                  2270                     40   \n","2            189024                  2422                     33   \n","3            189770                  2360                     35   \n","4            190800                  2450                     37   \n","\n","   Profile_class  5-class_Stability  ...  Cracks  Avalanche_activity  \\\n","0              6                  3  ...       0                   0   \n","1              1                  3  ...       0                   0   \n","2              8                  4  ...       0                   0   \n","3              7                  4  ...       0                   0   \n","4              1                  2  ...       0                   1   \n","\n","   LN_Local_danger_level_nowcast  LN_rounded  \\\n","0                            2.0           2   \n","1                            2.0           2   \n","2                            2.0           2   \n","3                            2.0           2   \n","4                            2.0           2   \n","\n","   RF_Regional _danger_level_forecast  Deviation [LN-RF]  SNPK_Index  \\\n","0                                   2                  0       2.057   \n","1                                   2                  0       2.446   \n","2                                   2                  0       1.800   \n","3                                   2                  0       1.407   \n","4                                   2                  0       2.153   \n","\n","   SNPK_Index_Class  HN24 (cm)  HN3d (cm)  \n","0                 2        2.0       10.0  \n","1                 2        0.0        8.0  \n","2                 2        0.0        5.0  \n","3                 3        0.0        3.5  \n","4                 2        0.0        5.0  \n","\n","[5 rows x 57 columns]"],"text/html":["\n","  <div id=\"df-abf0f15c-6df0-4eff-aa83-3bf28280c0aa\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>No</th>\n","      <th>Profile_ID</th>\n","      <th>Date_time</th>\n","      <th>Aspect</th>\n","      <th>X-Coordinate (m)</th>\n","      <th>Y-Coordinate (m)</th>\n","      <th>Elevation (m a.s.l.)</th>\n","      <th>Slope_angle (degrees)</th>\n","      <th>Profile_class</th>\n","      <th>5-class_Stability</th>\n","      <th>...</th>\n","      <th>Cracks</th>\n","      <th>Avalanche_activity</th>\n","      <th>LN_Local_danger_level_nowcast</th>\n","      <th>LN_rounded</th>\n","      <th>RF_Regional _danger_level_forecast</th>\n","      <th>Deviation [LN-RF]</th>\n","      <th>SNPK_Index</th>\n","      <th>SNPK_Index_Class</th>\n","      <th>HN24 (cm)</th>\n","      <th>HN3d (cm)</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>6781</td>\n","      <td>22-01-2002 10:00</td>\n","      <td>NNE</td>\n","      <td>790000</td>\n","      <td>190070</td>\n","      <td>2450</td>\n","      <td>32</td>\n","      <td>6</td>\n","      <td>3</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2.057</td>\n","      <td>2</td>\n","      <td>2.0</td>\n","      <td>10.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>6802</td>\n","      <td>22-01-2002 12:55</td>\n","      <td>NW</td>\n","      <td>789915</td>\n","      <td>190345</td>\n","      <td>2270</td>\n","      <td>40</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2.446</td>\n","      <td>2</td>\n","      <td>0.0</td>\n","      <td>8.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>6826</td>\n","      <td>23-01-2002 10:15</td>\n","      <td>N</td>\n","      <td>790820</td>\n","      <td>189024</td>\n","      <td>2422</td>\n","      <td>33</td>\n","      <td>8</td>\n","      <td>4</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1.800</td>\n","      <td>2</td>\n","      <td>0.0</td>\n","      <td>5.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>6831</td>\n","      <td>23-01-2002 13:15</td>\n","      <td>E</td>\n","      <td>790565</td>\n","      <td>189770</td>\n","      <td>2360</td>\n","      <td>35</td>\n","      <td>7</td>\n","      <td>4</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1.407</td>\n","      <td>3</td>\n","      <td>0.0</td>\n","      <td>3.5</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>6814</td>\n","      <td>23-01-2002 14:45</td>\n","      <td>NW</td>\n","      <td>790663</td>\n","      <td>190800</td>\n","      <td>2450</td>\n","      <td>37</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2.153</td>\n","      <td>2</td>\n","      <td>0.0</td>\n","      <td>5.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 57 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-abf0f15c-6df0-4eff-aa83-3bf28280c0aa')\"\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 -960 960 960\">\n","    <path 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Slope_angle (degrees)  Profile_class  \\\n","count            589.000000             589.000000     589.000000   \n","mean            2447.079796              32.886248       4.617997   \n","std              194.649027               4.567591       2.244816   \n","min             1760.000000              14.000000       1.000000   \n","25%             2344.000000              30.000000       3.000000   \n","50%             2470.000000              33.000000       6.000000   \n","75%             2577.000000              36.000000       7.000000   \n","max             2965.000000              43.000000       9.000000   \n","\n","       5-class_Stability    RB_score  RB_release_type  ...      Cracks  \\\n","count         589.000000  589.000000       589.000000  ...  589.000000   \n","mean            3.081494    4.037351         1.877759  ...    0.173175   \n","std             0.905471    1.361008         0.768423  ...    0.378720   \n","min             1.000000    1.000000         1.000000  ...    0.000000   \n","25%             3.000000    3.000000         1.000000  ...    0.000000   \n","50%             3.000000    4.000000         2.000000  ...    0.000000   \n","75%             4.000000    5.000000         2.000000  ...    0.000000   \n","max             5.000000    7.000000         3.000000  ...    1.000000   \n","\n","       Avalanche_activity  LN_Local_danger_level_nowcast  LN_rounded  \\\n","count          589.000000                     589.000000  589.000000   \n","mean             0.232598                       2.112564    2.159593   \n","std              0.422847                       0.759192    0.783545   \n","min              0.000000                       1.000000    1.000000   \n","25%              0.000000                       1.500000    2.000000   \n","50%              0.000000                       2.000000    2.000000   \n","75%              0.000000                       3.000000    3.000000   \n","max              1.000000                       4.000000    4.000000   \n","\n","       RF_Regional _danger_level_forecast  Deviation [LN-RF]  SNPK_Index  \\\n","count                          589.000000         589.000000  589.000000   \n","mean                             2.376910          -0.217317    1.523224   \n","std                              0.731142           0.518671    0.626313   \n","min                              1.000000          -2.000000    0.167000   \n","25%                              2.000000          -1.000000    1.097000   \n","50%                              2.000000           0.000000    1.712000   \n","75%                              3.000000           0.000000    1.977000   \n","max                              4.000000           1.000000    2.561000   \n","\n","       SNPK_Index_Class   HN24 (cm)   HN3d (cm)  \n","count        589.000000  589.000000  589.000000  \n","mean           2.964346    4.354499   14.090577  \n","std            1.231842    8.645374   19.351486  \n","min            1.000000    0.000000    0.000000  \n","25%            2.000000    0.000000    0.000000  \n","50%            2.000000    0.000000    6.000000  \n","75%            4.000000    5.000000   19.000000  \n","max            5.000000   52.000000  110.500000  \n","\n","[8 rows x 55 columns]"],"text/html":["\n","  <div id=\"df-7314e496-6391-4df0-b40a-1eb97a3883b4\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" 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<td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>...</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","      <td>589.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>295.000000</td>\n","      <td>53406.137521</td>\n","      <td>777831.859083</td>\n","      <td>185067.022071</td>\n","      <td>2447.079796</td>\n","      <td>32.886248</td>\n","      <td>4.617997</td>\n","      <td>3.081494</td>\n","      <td>4.037351</td>\n","      <td>1.877759</td>\n","      <td>...</td>\n","      <td>0.173175</td>\n","      <td>0.232598</td>\n","      <td>2.112564</td>\n","      <td>2.159593</td>\n","      <td>2.376910</td>\n","      <td>-0.217317</td>\n","      <td>1.523224</td>\n","      <td>2.964346</td>\n","      <td>4.354499</td>\n","      <td>14.090577</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>170.173931</td>\n","      <td>31870.589449</td>\n","      <td>26851.328839</td>\n","      <td>10144.386544</td>\n","      <td>194.649027</td>\n","      <td>4.567591</td>\n","      <td>2.244816</td>\n","      <td>0.905471</td>\n","      <td>1.361008</td>\n","      <td>0.768423</td>\n","      <td>...</td>\n","      <td>0.378720</td>\n","      <td>0.422847</td>\n","      <td>0.759192</td>\n","      <td>0.783545</td>\n","      <td>0.731142</td>\n","      <td>0.518671</td>\n","      <td>0.626313</td>\n","      <td>1.231842</td>\n","      <td>8.645374</td>\n","      <td>19.351486</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.000000</td>\n","      <td>6681.000000</td>\n","      <td>576110.000000</td>\n","      <td>105660.000000</td>\n","      <td>1760.000000</td>\n","      <td>14.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>...</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>-2.000000</td>\n","      <td>0.167000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>148.000000</td>\n","      <td>13930.000000</td>\n","      <td>779374.000000</td>\n","      <td>183200.000000</td>\n","      <td>2344.000000</td>\n","      <td>30.000000</td>\n","      <td>3.000000</td>\n","      <td>3.000000</td>\n","      <td>3.000000</td>\n","      <td>1.000000</td>\n","      <td>...</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>1.500000</td>\n","      <td>2.000000</td>\n","      <td>2.000000</td>\n","      <td>-1.000000</td>\n","      <td>1.097000</td>\n","      <td>2.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>295.000000</td>\n","      <td>74727.000000</td>\n","      <td>780582.000000</td>\n","      <td>186571.000000</td>\n","      <td>2470.000000</td>\n","      <td>33.000000</td>\n","      <td>6.000000</td>\n","      <td>3.000000</td>\n","      <td>4.000000</td>\n","      <td>2.000000</td>\n","      <td>...</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>2.000000</td>\n","      <td>2.000000</td>\n","      <td>2.000000</td>\n","      <td>0.000000</td>\n","      <td>1.712000</td>\n","      <td>2.000000</td>\n","      <td>0.000000</td>\n","      <td>6.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>442.000000</td>\n","      <td>80362.000000</td>\n","      <td>783764.000000</td>\n","      <td>189837.000000</td>\n","      <td>2577.000000</td>\n","      <td>36.000000</td>\n","      <td>7.000000</td>\n","      <td>4.000000</td>\n","      <td>5.000000</td>\n","      <td>2.000000</td>\n","      <td>...</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>3.000000</td>\n","      <td>3.000000</td>\n","      <td>3.000000</td>\n","      <td>0.000000</td>\n","      <td>1.977000</td>\n","      <td>4.000000</td>\n","      <td>5.000000</td>\n","      <td>19.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>589.000000</td>\n","      <td>85784.000000</td>\n","      <td>883690.000000</td>\n","      <td>235435.000000</td>\n","      <td>2965.000000</td>\n","      <td>43.000000</td>\n","      <td>9.000000</td>\n","      <td>5.000000</td>\n","      <td>7.000000</td>\n","      <td>3.000000</td>\n","      <td>...</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>4.000000</td>\n","      <td>4.000000</td>\n","      <td>4.000000</td>\n","      <td>1.000000</td>\n","      <td>2.561000</td>\n","      <td>5.000000</td>\n","      <td>52.000000</td>\n","      <td>110.500000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>8 rows × 55 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7314e496-6391-4df0-b40a-1eb97a3883b4')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    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In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n","  df.groupby('Avalanche_activity').mean()\n"]},{"output_type":"execute_result","data":{"text/plain":["                            No    Profile_ID  X-Coordinate (m)  \\\n","Avalanche_activity                                               \n","0                   299.331858  53908.933628     777443.099558   \n","1                   280.708029  51747.277372     779114.481752   \n","\n","                    Y-Coordinate (m)  Elevation (m a.s.l.)  \\\n","Avalanche_activity                                           \n","0                      185208.869469           2459.066372   \n","1                      184599.029197           2407.532847   \n","\n","                    Slope_angle (degrees)  Profile_class  5-class_Stability  \\\n","Avalanche_activity                                                            \n","0                               33.059735       4.738938           3.205752   \n","1                               32.313869       4.218978           2.671533   \n","\n","                    RB_score  RB_release_type  ...   Whumpfs    Cracks  \\\n","Avalanche_activity                             ...                       \n","0                   4.179204         1.960177  ...  0.256637  0.119469   \n","1                   3.569343         1.605839  ...  0.540146  0.350365   \n","\n","                    LN_Local_danger_level_nowcast  LN_rounded  \\\n","Avalanche_activity                                              \n","0                                        1.936504    1.977876   \n","1                                        2.693431    2.759124   \n","\n","                    RF_Regional _danger_level_forecast  Deviation [LN-RF]  \\\n","Avalanche_activity                                                          \n","0                                             2.258850          -0.280973   \n","1                                             2.766423          -0.007299   \n","\n","                    SNPK_Index  SNPK_Index_Class  HN24 (cm)  HN3d (cm)  \n","Avalanche_activity                                                      \n","0                     1.492779          3.024336   2.987389  10.547345  \n","1                     1.623672          2.766423   8.864964  25.780657  \n","\n","[2 rows x 54 columns]"],"text/html":["\n","  <div id=\"df-54eff82d-c98b-45be-921f-e17fd66b35a7\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>No</th>\n","      <th>Profile_ID</th>\n","      <th>X-Coordinate (m)</th>\n","      <th>Y-Coordinate (m)</th>\n","      <th>Elevation (m a.s.l.)</th>\n","      <th>Slope_angle (degrees)</th>\n","      <th>Profile_class</th>\n","      <th>5-class_Stability</th>\n","      <th>RB_score</th>\n","      <th>RB_release_type</th>\n","      <th>...</th>\n","      <th>Whumpfs</th>\n","      <th>Cracks</th>\n","      <th>LN_Local_danger_level_nowcast</th>\n","      <th>LN_rounded</th>\n","      <th>RF_Regional _danger_level_forecast</th>\n","      <th>Deviation [LN-RF]</th>\n","      <th>SNPK_Index</th>\n","      <th>SNPK_Index_Class</th>\n","      <th>HN24 (cm)</th>\n","      <th>HN3d (cm)</th>\n","    </tr>\n","    <tr>\n","      <th>Avalanche_activity</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>299.331858</td>\n","      <td>53908.933628</td>\n","      <td>777443.099558</td>\n","      <td>185208.869469</td>\n","      <td>2459.066372</td>\n","      <td>33.059735</td>\n","      <td>4.738938</td>\n","      <td>3.205752</td>\n","      <td>4.179204</td>\n","      <td>1.960177</td>\n","      <td>...</td>\n","      <td>0.256637</td>\n","      <td>0.119469</td>\n","      <td>1.936504</td>\n","      <td>1.977876</td>\n","      <td>2.258850</td>\n","      <td>-0.280973</td>\n","      <td>1.492779</td>\n","      <td>3.024336</td>\n","      <td>2.987389</td>\n","      <td>10.547345</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>280.708029</td>\n","      <td>51747.277372</td>\n","      <td>779114.481752</td>\n","      <td>184599.029197</td>\n","      <td>2407.532847</td>\n","      <td>32.313869</td>\n","      <td>4.218978</td>\n","      <td>2.671533</td>\n","      <td>3.569343</td>\n","      <td>1.605839</td>\n","      <td>...</td>\n","      <td>0.540146</td>\n","      <td>0.350365</td>\n","      <td>2.693431</td>\n","      <td>2.759124</td>\n","      <td>2.766423</td>\n","      <td>-0.007299</td>\n","      <td>1.623672</td>\n","      <td>2.766423</td>\n","      <td>8.864964</td>\n","      <td>25.780657</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>2 rows × 54 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-54eff82d-c98b-45be-921f-e17fd66b35a7')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 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Whumpfs  Cracks  \\\n","0                  2                       1  ...        0       0   \n","1                  2                       1  ...        0       0   \n","2                  3                       1  ...        0       0   \n","3                  3                       1  ...        0       0   \n","4                  1                       1  ...        0       0   \n","..               ...                     ...  ...      ...     ...   \n","584                2                       1  ...        1       0   \n","585                2                       1  ...        0       0   \n","586                2                       1  ...        0       0   \n","587                2                       1  ...        0       0   \n","588                2                       1  ...        0       0   \n","\n","     LN_Local_danger_level_nowcast  LN_rounded  \\\n","0                              2.0           2   \n","1                              2.0           2   \n","2                              2.0           2   \n","3                              2.0           2   \n","4                              2.0           2   \n","..                             ...         ...   \n","584                            2.0           2   \n","585                            2.0           2   \n","586                            2.0           2   \n","587                            2.0           2   \n","588                            2.0           2   \n","\n","     RF_Regional _danger_level_forecast  Deviation [LN-RF]  SNPK_Index  \\\n","0                                     2                  0       2.057   \n","1                                     2                  0       2.446   \n","2                                     2                  0       1.800   \n","3                                     2                  0       1.407   \n","4                                     2                  0       2.153   \n","..                                  ...                ...         ...   \n","584                                   3                 -1       1.487   \n","585                                   2                  0       2.053   \n","586                                   2                  0       0.500   \n","587                                   2                  0       1.727   \n","588                                   2                  0       2.054   \n","\n","     SNPK_Index_Class  HN24 (cm)  HN3d (cm)  \n","0                   2        2.0       10.0  \n","1                   2        0.0        8.0  \n","2                   2        0.0        5.0  \n","3                   3        0.0        3.5  \n","4                   2        0.0        5.0  \n","..                ...        ...        ...  \n","584                 3       18.0       39.0  \n","585                 2        0.0       18.0  \n","586                 5        0.0       18.0  \n","587                 2        0.0       18.0  \n","588                 2        0.0        0.0  \n","\n","[589 rows x 53 columns]\n"]}]},{"cell_type":"code","source":["print(Y)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"f7Pkq6gH7Ht3","executionInfo":{"status":"ok","timestamp":1694874699034,"user_tz":-330,"elapsed":19,"user":{"displayName":"PHANTOM GAMING","userId":"03286714748556263266"}},"outputId":"9608446d-5f0e-4009-daee-16fcc73f514a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["0      0\n","1      0\n","2      0\n","3      0\n","4      1\n","      ..\n","584    0\n","585    0\n","586    0\n","587    0\n","588    0\n","Name: Avalanche_activity, Length: 589, dtype: int64\n"]}]},{"cell_type":"markdown","source":["Splitting the data to training data & Test data"],"metadata":{"id":"nXaGLJUZ7TOf"}},{"cell_type":"code","source":["X_train,X_test,Y_train,Y_test = train_test_split(X,Y,test_size=0.2,random_state=2)"],"metadata":{"id":"jYAX-lNc7K-F"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(X.shape,X_train.shape,X_test.shape)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"6Vr3Wwzl7h2t","executionInfo":{"status":"ok","timestamp":1694874699034,"user_tz":-330,"elapsed":17,"user":{"displayName":"PHANTOM GAMING","userId":"03286714748556263266"}},"outputId":"87ca717f-74eb-4549-f12d-7eaa73bc4bd8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["(589, 53) (471, 53) (118, 53)\n"]}]},{"cell_type":"code","source":["scaler = StandardScaler()\n","scaler.fit(X_train)\n","X_train = scaler.transform(X_train)\n","\n","X_test = scaler.transform(X_test)"],"metadata":{"id":"hFrBek5gPnyR"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(X_train)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"wzJvDA7vP1F4","executionInfo":{"status":"ok","timestamp":1694874699035,"user_tz":-330,"elapsed":16,"user":{"displayName":"PHANTOM GAMING","userId":"03286714748556263266"}},"outputId":"088f5e91-4b82-49be-8b27-91c0fcc279a6"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["[[ 0.25571449  0.24105541 -0.19036389 ... -0.78732734 -0.52169252\n","  -0.73257717]\n"," [-1.36040407  0.05874811 -0.00940703 ... -0.78732734 -0.52169252\n","  -0.49481995]\n"," [-1.35459069  0.03324474  0.01130664 ...  0.01882739 -0.52169252\n","  -0.73257717]\n"," ...\n"," [ 1.12772091  0.10287878  0.47170615 ... -0.78732734 -0.52169252\n","  -0.73257717]\n"," [ 1.3253757   0.11113736  0.52569593 ... -0.78732734 -0.52169252\n","  -0.73257717]\n"," [-0.76162633  0.02669608  0.04976117 ... -0.78732734 -0.52169252\n","  -0.73257717]]\n"]}]},{"cell_type":"code","source":["print(Y_train)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2Ix_uHemP3yv","executionInfo":{"status":"ok","timestamp":1694874699035,"user_tz":-330,"elapsed":15,"user":{"displayName":"PHANTOM GAMING","userId":"03286714748556263266"}},"outputId":"f0b39224-6523-4417-ac89-ddbf980aaa42"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["343    0\n","65     1\n","66     0\n","371    0\n","431    1\n","      ..\n","534    1\n","584    0\n","493    0\n","527    0\n","168    0\n","Name: Avalanche_activity, Length: 471, dtype: int64\n"]}]},{"cell_type":"code","source":["model=svm.SVC(kernel='linear')"],"metadata":{"id":"NHWipwH7P7lw"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# training the SVM model with training data\n","model.fit(X_train,Y_train)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":74},"id":"OTB0nTM6QBWh","executionInfo":{"status":"ok","timestamp":1694874699036,"user_tz":-330,"elapsed":15,"user":{"displayName":"PHANTOM GAMING","userId":"03286714748556263266"}},"outputId":"17f485a1-a132-4257-c26b-6e55231b8aa0"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["SVC(kernel='linear')"],"text/html":["<style>#sk-container-id-6 {color: black;background-color: white;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 div.sk-toggleable {background-color: white;}#sk-container-id-6 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-6 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {color: 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stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 div.sk-item::before, #sk-container-id-6 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-6 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-6 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-6 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 div.sk-label-container {text-align: center;}#sk-container-id-6 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-6 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-6\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(kernel=&#x27;linear&#x27;)</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-6\" type=\"checkbox\" checked><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC(kernel=&#x27;linear&#x27;)</pre></div></div></div></div></div>"]},"metadata":{},"execution_count":263}]},{"cell_type":"code","source":["print(model)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"qLriCn1BQGCJ","executionInfo":{"status":"ok","timestamp":1694874699036,"user_tz":-330,"elapsed":14,"user":{"displayName":"PHANTOM GAMING","userId":"03286714748556263266"}},"outputId":"ef64e731-1559-4f7c-d667-c0ab3048312e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["SVC(kernel='linear')\n"]}]},{"cell_type":"code","source":["# accuracy score on training data\n","X_train_prediction = model.predict(X_train)\n","training_data_accuracy = accuracy_score(Y_train,X_train_prediction)"],"metadata":{"id":"Z0HBZ6pZQZ4Q"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["X_test_prediction = model.predict(X_test)\n","test_data_accuracy = accuracy_score(Y_test,X_test_prediction)"],"metadata":{"id":"bOyTYH6fRkDI"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print('Accuracy score of training data: ',training_data_accuracy)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"L4_H3TDPQbF4","executionInfo":{"status":"ok","timestamp":1694874699036,"user_tz":-330,"elapsed":12,"user":{"displayName":"PHANTOM GAMING","userId":"03286714748556263266"}},"outputId":"0f706b9a-de7c-4955-b8f4-c0c526651d7e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy score of training data:  0.8407643312101911\n"]}]},{"cell_type":"code","source":["X_test_prediction = model.predict(X_test)\n","test_data_accuracy = accuracy_score(Y_test,X_test_prediction)"],"metadata":{"id":"SfDvTL46Rpjz"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print('Accuracy score of test data : ', test_data_accuracy)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-G_vipC9RYP4","executionInfo":{"status":"ok","timestamp":1694874699666,"user_tz":-330,"elapsed":10,"user":{"displayName":"PHANTOM GAMING","userId":"03286714748556263266"}},"outputId":"312fe444-97bc-4c0c-a7ef-5e3fa83510de"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy score of test data :  0.7288135593220338\n"]}]},{"cell_type":"code","source":["from sklearn.linear_model import LinearRegression  # Example with Linear Regression\n","\n","# Initialize the regression model\n","regression_model = LinearRegression()\n","\n","# Fit the model to the training data\n","regression_model.fit(X_train, Y_train)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":74},"id":"YGqhlG1kVRZp","executionInfo":{"status":"ok","timestamp":1694874699667,"user_tz":-330,"elapsed":10,"user":{"displayName":"PHANTOM GAMING","userId":"03286714748556263266"}},"outputId":"2f310d7b-4809-467c-9e4d-09a23cf32f41"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["LinearRegression()"],"text/html":["<style>#sk-container-id-7 {color: black;background-color: white;}#sk-container-id-7 pre{padding: 0;}#sk-container-id-7 div.sk-toggleable {background-color: white;}#sk-container-id-7 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-7 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-7 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-7 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-7 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 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-7 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-7 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-7 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 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-7 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-7 div.sk-item {position: relative;z-index: 1;}#sk-container-id-7 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-7 div.sk-item::before, #sk-container-id-7 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-7 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-7 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-7 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-7 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-7 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-7 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-7 div.sk-label-container {text-align: center;}#sk-container-id-7 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-7 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-7\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</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-7\" type=\"checkbox\" checked><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"]},"metadata":{},"execution_count":270}]},{"cell_type":"code","source":["y_pred = regression_model.predict(X_test)\n"],"metadata":{"id":"6ck6ekVTVYeI"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n","\n","# Calculate and print relevant metrics\n","mae = mean_absolute_error(Y_test, y_pred)\n","mse = mean_squared_error(Y_test, y_pred)\n","rmse = mean_squared_error(Y_test, y_pred, squared=False)  # Calculate RMSE\n","r2 = r2_score(Y_test, y_pred)\n","\n","print(\"Mean Absolute Error (MAE):\", mae)\n","print(\"Mean Squared Error (MSE):\", mse)\n","print(\"Root Mean Squared Error (RMSE):\", rmse)\n","print(\"R-squared (R2):\", r2)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kClk_qTrVZ-w","executionInfo":{"status":"ok","timestamp":1694874699667,"user_tz":-330,"elapsed":9,"user":{"displayName":"PHANTOM GAMING","userId":"03286714748556263266"}},"outputId":"6d0214a2-30d0-4d65-89af-372cb6878f3f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mean Absolute Error (MAE): 0.30858831743708287\n","Mean Squared Error (MSE): 0.16512420417170498\n","Root Mean Squared Error (RMSE): 0.40635477623833216\n","R-squared (R2): 0.2085406475432635\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"zzQ0wLtxV0dU"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":[],"metadata":{"id":"i-D8y359V4cU"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["\n"],"metadata":{"id":"mUvYH7WiKxHA"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["\n"],"metadata":{"id":"vOkn8co6K825"},"execution_count":null,"outputs":[]}]}