boston-house-prices-prediction-light-eda.ipynb

{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":2292500,"sourceType":"datasetVersion","datasetId":1381830}],"dockerImageVersionId":30732,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","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\nimport numpy as np # linear algebra\nimport 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\nimport os\nfor 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","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-06-07T07:16:15.646126Z","iopub.execute_input":"2024-06-07T07:16:15.647140Z","iopub.status.idle":"2024-06-07T07:16:15.655266Z","shell.execute_reply.started":"2024-06-07T07:16:15.647100Z","shell.execute_reply":"2024-06-07T07:16:15.654083Z"},"trusted":true},"execution_count":51,"outputs":[{"name":"stdout","text":"/kaggle/input/the-boston-houseprice-data/boston.csv\n","output_type":"stream"}]},{"cell_type":"code","source":"data = pd.read_csv('/kaggle/input/the-boston-houseprice-data/boston.csv')\ndata.head(5)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:15.663223Z","iopub.execute_input":"2024-06-07T07:16:15.663584Z","iopub.status.idle":"2024-06-07T07:16:15.690269Z","shell.execute_reply.started":"2024-06-07T07:16:15.663556Z","shell.execute_reply":"2024-06-07T07:16:15.689035Z"},"trusted":true},"execution_count":52,"outputs":[{"execution_count":52,"output_type":"execute_result","data":{"text/plain":"      CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n0  0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900    1  296.0   \n1  0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671    2  242.0   \n2  0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671    2  242.0   \n3  0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622    3  222.0   \n4  0.06905   0.0   2.18     0  0.458  7.147  54.2  6.0622    3  222.0   \n\n   PTRATIO       B  LSTAT  MEDV  \n0     15.3  396.90   4.98  24.0  \n1     17.8  396.90   9.14  21.6  \n2     17.8  392.83   4.03  34.7  \n3     18.7  394.63   2.94  33.4  \n4     18.7  396.90   5.33  36.2  ","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>CRIM</th>\n      <th>ZN</th>\n      <th>INDUS</th>\n      <th>CHAS</th>\n      <th>NOX</th>\n      <th>RM</th>\n      <th>AGE</th>\n      <th>DIS</th>\n      <th>RAD</th>\n      <th>TAX</th>\n      <th>PTRATIO</th>\n      <th>B</th>\n      <th>LSTAT</th>\n      <th>MEDV</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0.00632</td>\n      <td>18.0</td>\n      <td>2.31</td>\n      <td>0</td>\n      <td>0.538</td>\n      <td>6.575</td>\n      <td>65.2</td>\n      <td>4.0900</td>\n      <td>1</td>\n      <td>296.0</td>\n      <td>15.3</td>\n      <td>396.90</td>\n      <td>4.98</td>\n      <td>24.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0.02731</td>\n      <td>0.0</td>\n      <td>7.07</td>\n      <td>0</td>\n      <td>0.469</td>\n      <td>6.421</td>\n      <td>78.9</td>\n      <td>4.9671</td>\n      <td>2</td>\n      <td>242.0</td>\n      <td>17.8</td>\n      <td>396.90</td>\n      <td>9.14</td>\n      <td>21.6</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0.02729</td>\n      <td>0.0</td>\n      <td>7.07</td>\n      <td>0</td>\n      <td>0.469</td>\n      <td>7.185</td>\n      <td>61.1</td>\n      <td>4.9671</td>\n      <td>2</td>\n      <td>242.0</td>\n      <td>17.8</td>\n      <td>392.83</td>\n      <td>4.03</td>\n      <td>34.7</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0.03237</td>\n      <td>0.0</td>\n      <td>2.18</td>\n      <td>0</td>\n      <td>0.458</td>\n      <td>6.998</td>\n      <td>45.8</td>\n      <td>6.0622</td>\n      <td>3</td>\n      <td>222.0</td>\n      <td>18.7</td>\n      <td>394.63</td>\n      <td>2.94</td>\n      <td>33.4</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0.06905</td>\n      <td>0.0</td>\n      <td>2.18</td>\n      <td>0</td>\n      <td>0.458</td>\n      <td>7.147</td>\n      <td>54.2</td>\n      <td>6.0622</td>\n      <td>3</td>\n      <td>222.0</td>\n      <td>18.7</td>\n      <td>396.90</td>\n      <td>5.33</td>\n      <td>36.2</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"# Exploratory data analsis","metadata":{}},{"cell_type":"code","source":"data.columns","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:15.692125Z","iopub.execute_input":"2024-06-07T07:16:15.692458Z","iopub.status.idle":"2024-06-07T07:16:15.699610Z","shell.execute_reply.started":"2024-06-07T07:16:15.692429Z","shell.execute_reply":"2024-06-07T07:16:15.698481Z"},"trusted":true},"execution_count":53,"outputs":[{"execution_count":53,"output_type":"execute_result","data":{"text/plain":"Index(['CRIM', 'ZN', 'INDUS', 'CHAS', 'NOX', 'RM', 'AGE', 'DIS', 'RAD', 'TAX',\n       'PTRATIO', 'B', 'LSTAT', 'MEDV'],\n      dtype='object')"},"metadata":{}}]},{"cell_type":"code","source":"data.describe()","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:15.701009Z","iopub.execute_input":"2024-06-07T07:16:15.701335Z","iopub.status.idle":"2024-06-07T07:16:15.759445Z","shell.execute_reply.started":"2024-06-07T07:16:15.701307Z","shell.execute_reply":"2024-06-07T07:16:15.758328Z"},"trusted":true},"execution_count":54,"outputs":[{"execution_count":54,"output_type":"execute_result","data":{"text/plain":"             CRIM          ZN       INDUS        CHAS         NOX          RM  \\\ncount  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \nmean     3.613524   11.363636   11.136779    0.069170    0.554695    6.284634   \nstd      8.601545   23.322453    6.860353    0.253994    0.115878    0.702617   \nmin      0.006320    0.000000    0.460000    0.000000    0.385000    3.561000   \n25%      0.082045    0.000000    5.190000    0.000000    0.449000    5.885500   \n50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208500   \n75%      3.677083   12.500000   18.100000    0.000000    0.624000    6.623500   \nmax     88.976200  100.000000   27.740000    1.000000    0.871000    8.780000   \n\n              AGE         DIS         RAD         TAX     PTRATIO           B  \\\ncount  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \nmean    68.574901    3.795043    9.549407  408.237154   18.455534  356.674032   \nstd     28.148861    2.105710    8.707259  168.537116    2.164946   91.294864   \nmin      2.900000    1.129600    1.000000  187.000000   12.600000    0.320000   \n25%     45.025000    2.100175    4.000000  279.000000   17.400000  375.377500   \n50%     77.500000    3.207450    5.000000  330.000000   19.050000  391.440000   \n75%     94.075000    5.188425   24.000000  666.000000   20.200000  396.225000   \nmax    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n\n            LSTAT        MEDV  \ncount  506.000000  506.000000  \nmean    12.653063   22.532806  \nstd      7.141062    9.197104  \nmin      1.730000    5.000000  \n25%      6.950000   17.025000  \n50%     11.360000   21.200000  \n75%     16.955000   25.000000  \nmax     37.970000   50.000000  ","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>CRIM</th>\n      <th>ZN</th>\n      <th>INDUS</th>\n      <th>CHAS</th>\n      <th>NOX</th>\n      <th>RM</th>\n      <th>AGE</th>\n      <th>DIS</th>\n      <th>RAD</th>\n      <th>TAX</th>\n      <th>PTRATIO</th>\n      <th>B</th>\n      <th>LSTAT</th>\n      <th>MEDV</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>3.613524</td>\n      <td>11.363636</td>\n      <td>11.136779</td>\n      <td>0.069170</td>\n      <td>0.554695</td>\n      <td>6.284634</td>\n      <td>68.574901</td>\n      <td>3.795043</td>\n      <td>9.549407</td>\n      <td>408.237154</td>\n      <td>18.455534</td>\n      <td>356.674032</td>\n      <td>12.653063</td>\n      <td>22.532806</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>8.601545</td>\n      <td>23.322453</td>\n      <td>6.860353</td>\n      <td>0.253994</td>\n      <td>0.115878</td>\n      <td>0.702617</td>\n      <td>28.148861</td>\n      <td>2.105710</td>\n      <td>8.707259</td>\n      <td>168.537116</td>\n      <td>2.164946</td>\n      <td>91.294864</td>\n      <td>7.141062</td>\n      <td>9.197104</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>0.006320</td>\n      <td>0.000000</td>\n      <td>0.460000</td>\n      <td>0.000000</td>\n      <td>0.385000</td>\n      <td>3.561000</td>\n      <td>2.900000</td>\n      <td>1.129600</td>\n      <td>1.000000</td>\n      <td>187.000000</td>\n      <td>12.600000</td>\n      <td>0.320000</td>\n      <td>1.730000</td>\n      <td>5.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>0.082045</td>\n      <td>0.000000</td>\n      <td>5.190000</td>\n      <td>0.000000</td>\n      <td>0.449000</td>\n      <td>5.885500</td>\n      <td>45.025000</td>\n      <td>2.100175</td>\n      <td>4.000000</td>\n      <td>279.000000</td>\n      <td>17.400000</td>\n      <td>375.377500</td>\n      <td>6.950000</td>\n      <td>17.025000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>0.256510</td>\n      <td>0.000000</td>\n      <td>9.690000</td>\n      <td>0.000000</td>\n      <td>0.538000</td>\n      <td>6.208500</td>\n      <td>77.500000</td>\n      <td>3.207450</td>\n      <td>5.000000</td>\n      <td>330.000000</td>\n      <td>19.050000</td>\n      <td>391.440000</td>\n      <td>11.360000</td>\n      <td>21.200000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>3.677083</td>\n      <td>12.500000</td>\n      <td>18.100000</td>\n      <td>0.000000</td>\n      <td>0.624000</td>\n      <td>6.623500</td>\n      <td>94.075000</td>\n      <td>5.188425</td>\n      <td>24.000000</td>\n      <td>666.000000</td>\n      <td>20.200000</td>\n      <td>396.225000</td>\n      <td>16.955000</td>\n      <td>25.000000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>88.976200</td>\n      <td>100.000000</td>\n      <td>27.740000</td>\n      <td>1.000000</td>\n      <td>0.871000</td>\n      <td>8.780000</td>\n      <td>100.000000</td>\n      <td>12.126500</td>\n      <td>24.000000</td>\n      <td>711.000000</td>\n      <td>22.000000</td>\n      <td>396.900000</td>\n      <td>37.970000</td>\n      <td>50.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"data.info","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:15.762089Z","iopub.execute_input":"2024-06-07T07:16:15.762527Z","iopub.status.idle":"2024-06-07T07:16:15.779711Z","shell.execute_reply.started":"2024-06-07T07:16:15.762487Z","shell.execute_reply":"2024-06-07T07:16:15.778599Z"},"trusted":true},"execution_count":55,"outputs":[{"execution_count":55,"output_type":"execute_result","data":{"text/plain":"<bound method DataFrame.info of         CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n0    0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900    1  296.0   \n1    0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671    2  242.0   \n2    0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671    2  242.0   \n3    0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622    3  222.0   \n4    0.06905   0.0   2.18     0  0.458  7.147  54.2  6.0622    3  222.0   \n..       ...   ...    ...   ...    ...    ...   ...     ...  ...    ...   \n501  0.06263   0.0  11.93     0  0.573  6.593  69.1  2.4786    1  273.0   \n502  0.04527   0.0  11.93     0  0.573  6.120  76.7  2.2875    1  273.0   \n503  0.06076   0.0  11.93     0  0.573  6.976  91.0  2.1675    1  273.0   \n504  0.10959   0.0  11.93     0  0.573  6.794  89.3  2.3889    1  273.0   \n505  0.04741   0.0  11.93     0  0.573  6.030  80.8  2.5050    1  273.0   \n\n     PTRATIO       B  LSTAT  MEDV  \n0       15.3  396.90   4.98  24.0  \n1       17.8  396.90   9.14  21.6  \n2       17.8  392.83   4.03  34.7  \n3       18.7  394.63   2.94  33.4  \n4       18.7  396.90   5.33  36.2  \n..       ...     ...    ...   ...  \n501     21.0  391.99   9.67  22.4  \n502     21.0  396.90   9.08  20.6  \n503     21.0  396.90   5.64  23.9  \n504     21.0  393.45   6.48  22.0  \n505     21.0  396.90   7.88  11.9  \n\n[506 rows x 14 columns]>"},"metadata":{}}]},{"cell_type":"code","source":"data.columns = ['crime_rate', 'residential_land_proportion', 'non_retail_acres', \n                'charles_river_dummy', 'nitric_oxides_concentration', 'rooms_per_dwelling', \n                'age_proportion', 'employment_access', 'highways_accessibility', \n                'property_tax_rate', 'pupil_teacher_ratio', 'black_proportion', \n                'lower_status_population', 'median_home_value']","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:15.781224Z","iopub.execute_input":"2024-06-07T07:16:15.781680Z","iopub.status.idle":"2024-06-07T07:16:15.788209Z","shell.execute_reply.started":"2024-06-07T07:16:15.781642Z","shell.execute_reply":"2024-06-07T07:16:15.787115Z"},"trusted":true},"execution_count":56,"outputs":[]},{"cell_type":"code","source":"data.describe()","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:15.789800Z","iopub.execute_input":"2024-06-07T07:16:15.790363Z","iopub.status.idle":"2024-06-07T07:16:15.846865Z","shell.execute_reply.started":"2024-06-07T07:16:15.790333Z","shell.execute_reply":"2024-06-07T07:16:15.845609Z"},"trusted":true},"execution_count":57,"outputs":[{"execution_count":57,"output_type":"execute_result","data":{"text/plain":"       crime_rate  residential_land_proportion  non_retail_acres  \\\ncount  506.000000                   506.000000        506.000000   \nmean     3.613524                    11.363636         11.136779   \nstd      8.601545                    23.322453          6.860353   \nmin      0.006320                     0.000000          0.460000   \n25%      0.082045                     0.000000          5.190000   \n50%      0.256510                     0.000000          9.690000   \n75%      3.677083                    12.500000         18.100000   \nmax     88.976200                   100.000000         27.740000   \n\n       charles_river_dummy  nitric_oxides_concentration  rooms_per_dwelling  \\\ncount           506.000000                   506.000000          506.000000   \nmean              0.069170                     0.554695            6.284634   \nstd               0.253994                     0.115878            0.702617   \nmin               0.000000                     0.385000            3.561000   \n25%               0.000000                     0.449000            5.885500   \n50%               0.000000                     0.538000            6.208500   \n75%               0.000000                     0.624000            6.623500   \nmax               1.000000                     0.871000            8.780000   \n\n       age_proportion  employment_access  highways_accessibility  \\\ncount      506.000000         506.000000              506.000000   \nmean        68.574901           3.795043                9.549407   \nstd         28.148861           2.105710                8.707259   \nmin          2.900000           1.129600                1.000000   \n25%         45.025000           2.100175                4.000000   \n50%         77.500000           3.207450                5.000000   \n75%         94.075000           5.188425               24.000000   \nmax        100.000000          12.126500               24.000000   \n\n       property_tax_rate  pupil_teacher_ratio  black_proportion  \\\ncount         506.000000           506.000000        506.000000   \nmean          408.237154            18.455534        356.674032   \nstd           168.537116             2.164946         91.294864   \nmin           187.000000            12.600000          0.320000   \n25%           279.000000            17.400000        375.377500   \n50%           330.000000            19.050000        391.440000   \n75%           666.000000            20.200000        396.225000   \nmax           711.000000            22.000000        396.900000   \n\n       lower_status_population  median_home_value  \ncount               506.000000         506.000000  \nmean                 12.653063          22.532806  \nstd                   7.141062           9.197104  \nmin                   1.730000           5.000000  \n25%                   6.950000          17.025000  \n50%                  11.360000          21.200000  \n75%                  16.955000          25.000000  \nmax                  37.970000          50.000000  ","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>crime_rate</th>\n      <th>residential_land_proportion</th>\n      <th>non_retail_acres</th>\n      <th>charles_river_dummy</th>\n      <th>nitric_oxides_concentration</th>\n      <th>rooms_per_dwelling</th>\n      <th>age_proportion</th>\n      <th>employment_access</th>\n      <th>highways_accessibility</th>\n      <th>property_tax_rate</th>\n      <th>pupil_teacher_ratio</th>\n      <th>black_proportion</th>\n      <th>lower_status_population</th>\n      <th>median_home_value</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n      <td>506.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>3.613524</td>\n      <td>11.363636</td>\n      <td>11.136779</td>\n      <td>0.069170</td>\n      <td>0.554695</td>\n      <td>6.284634</td>\n      <td>68.574901</td>\n      <td>3.795043</td>\n      <td>9.549407</td>\n      <td>408.237154</td>\n      <td>18.455534</td>\n      <td>356.674032</td>\n      <td>12.653063</td>\n      <td>22.532806</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>8.601545</td>\n      <td>23.322453</td>\n      <td>6.860353</td>\n      <td>0.253994</td>\n      <td>0.115878</td>\n      <td>0.702617</td>\n      <td>28.148861</td>\n      <td>2.105710</td>\n      <td>8.707259</td>\n      <td>168.537116</td>\n      <td>2.164946</td>\n      <td>91.294864</td>\n      <td>7.141062</td>\n      <td>9.197104</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>0.006320</td>\n      <td>0.000000</td>\n      <td>0.460000</td>\n      <td>0.000000</td>\n      <td>0.385000</td>\n      <td>3.561000</td>\n      <td>2.900000</td>\n      <td>1.129600</td>\n      <td>1.000000</td>\n      <td>187.000000</td>\n      <td>12.600000</td>\n      <td>0.320000</td>\n      <td>1.730000</td>\n      <td>5.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>0.082045</td>\n      <td>0.000000</td>\n      <td>5.190000</td>\n      <td>0.000000</td>\n      <td>0.449000</td>\n      <td>5.885500</td>\n      <td>45.025000</td>\n      <td>2.100175</td>\n      <td>4.000000</td>\n      <td>279.000000</td>\n      <td>17.400000</td>\n      <td>375.377500</td>\n      <td>6.950000</td>\n      <td>17.025000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>0.256510</td>\n      <td>0.000000</td>\n      <td>9.690000</td>\n      <td>0.000000</td>\n      <td>0.538000</td>\n      <td>6.208500</td>\n      <td>77.500000</td>\n      <td>3.207450</td>\n      <td>5.000000</td>\n      <td>330.000000</td>\n      <td>19.050000</td>\n      <td>391.440000</td>\n      <td>11.360000</td>\n      <td>21.200000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>3.677083</td>\n      <td>12.500000</td>\n      <td>18.100000</td>\n      <td>0.000000</td>\n      <td>0.624000</td>\n      <td>6.623500</td>\n      <td>94.075000</td>\n      <td>5.188425</td>\n      <td>24.000000</td>\n      <td>666.000000</td>\n      <td>20.200000</td>\n      <td>396.225000</td>\n      <td>16.955000</td>\n      <td>25.000000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>88.976200</td>\n      <td>100.000000</td>\n      <td>27.740000</td>\n      <td>1.000000</td>\n      <td>0.871000</td>\n      <td>8.780000</td>\n      <td>100.000000</td>\n      <td>12.126500</td>\n      <td>24.000000</td>\n      <td>711.000000</td>\n      <td>22.000000</td>\n      <td>396.900000</td>\n      <td>37.970000</td>\n      <td>50.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"## Checking for missing values\n\ndata.isnull().sum()","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:15.848629Z","iopub.execute_input":"2024-06-07T07:16:15.848997Z","iopub.status.idle":"2024-06-07T07:16:15.858015Z","shell.execute_reply.started":"2024-06-07T07:16:15.848955Z","shell.execute_reply":"2024-06-07T07:16:15.856660Z"},"trusted":true},"execution_count":58,"outputs":[{"execution_count":58,"output_type":"execute_result","data":{"text/plain":"crime_rate                     0\nresidential_land_proportion    0\nnon_retail_acres               0\ncharles_river_dummy            0\nnitric_oxides_concentration    0\nrooms_per_dwelling             0\nage_proportion                 0\nemployment_access              0\nhighways_accessibility         0\nproperty_tax_rate              0\npupil_teacher_ratio            0\nblack_proportion               0\nlower_status_population        0\nmedian_home_value              0\ndtype: int64"},"metadata":{}}]},{"cell_type":"code","source":"data.dtypes","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:15.859357Z","iopub.execute_input":"2024-06-07T07:16:15.859696Z","iopub.status.idle":"2024-06-07T07:16:15.873060Z","shell.execute_reply.started":"2024-06-07T07:16:15.859666Z","shell.execute_reply":"2024-06-07T07:16:15.872049Z"},"trusted":true},"execution_count":59,"outputs":[{"execution_count":59,"output_type":"execute_result","data":{"text/plain":"crime_rate                     float64\nresidential_land_proportion    float64\nnon_retail_acres               float64\ncharles_river_dummy              int64\nnitric_oxides_concentration    float64\nrooms_per_dwelling             float64\nage_proportion                 float64\nemployment_access              float64\nhighways_accessibility           int64\nproperty_tax_rate              float64\npupil_teacher_ratio            float64\nblack_proportion               float64\nlower_status_population        float64\nmedian_home_value              float64\ndtype: object"},"metadata":{}}]},{"cell_type":"code","source":"## Creating a histogram for ever numerical attribute.\n\nimport matplotlib.pyplot as plt\ndata.hist(bins=50, figsize=(20, 15))\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:15.883546Z","iopub.execute_input":"2024-06-07T07:16:15.883928Z","iopub.status.idle":"2024-06-07T07:16:19.373339Z","shell.execute_reply.started":"2024-06-07T07:16:15.883897Z","shell.execute_reply":"2024-06-07T07:16:19.372123Z"},"trusted":true},"execution_count":60,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 2000x1500 with 16 Axes>","image/png":"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                            crime_rate  residential_land_proportion  \\\ncrime_rate                     1.000000                    -0.200469   \nresidential_land_proportion   -0.200469                     1.000000   \nnon_retail_acres               0.406583                    -0.533828   \ncharles_river_dummy           -0.055892                    -0.042697   \nnitric_oxides_concentration    0.420972                    -0.516604   \nrooms_per_dwelling            -0.219247                     0.311991   \nage_proportion                 0.352734                    -0.569537   \nemployment_access             -0.379670                     0.664408   \nhighways_accessibility         0.625505                    -0.311948   \nproperty_tax_rate              0.582764                    -0.314563   \npupil_teacher_ratio            0.289946                    -0.391679   \nblack_proportion              -0.385064                     0.175520   \nlower_status_population        0.455621                    -0.412995   \nmedian_home_value             -0.388305                     0.360445   \n\n                             non_retail_acres  charles_river_dummy  \\\ncrime_rate                           0.406583            -0.055892   \nresidential_land_proportion         -0.533828            -0.042697   \nnon_retail_acres                     1.000000             0.062938   \ncharles_river_dummy                  0.062938             1.000000   \nnitric_oxides_concentration          0.763651             0.091203   \nrooms_per_dwelling                  -0.391676             0.091251   \nage_proportion                       0.644779             0.086518   \nemployment_access                   -0.708027            -0.099176   \nhighways_accessibility               0.595129            -0.007368   \nproperty_tax_rate                    0.720760            -0.035587   \npupil_teacher_ratio                  0.383248            -0.121515   \nblack_proportion                    -0.356977             0.048788   \nlower_status_population              0.603800            -0.053929   \nmedian_home_value                   -0.483725             0.175260   \n\n                             nitric_oxides_concentration  rooms_per_dwelling  \\\ncrime_rate                                      0.420972           -0.219247   \nresidential_land_proportion                    -0.516604            0.311991   \nnon_retail_acres                                0.763651           -0.391676   \ncharles_river_dummy                             0.091203            0.091251   \nnitric_oxides_concentration                     1.000000           -0.302188   \nrooms_per_dwelling                             -0.302188            1.000000   \nage_proportion                                  0.731470           -0.240265   \nemployment_access                              -0.769230            0.205246   \nhighways_accessibility                          0.611441           -0.209847   \nproperty_tax_rate                               0.668023           -0.292048   \npupil_teacher_ratio                             0.188933           -0.355501   \nblack_proportion                               -0.380051            0.128069   \nlower_status_population                         0.590879           -0.613808   \nmedian_home_value                              -0.427321            0.695360   \n\n                             age_proportion  employment_access  \\\ncrime_rate                         0.352734          -0.379670   \nresidential_land_proportion       -0.569537           0.664408   \nnon_retail_acres                   0.644779          -0.708027   \ncharles_river_dummy                0.086518          -0.099176   \nnitric_oxides_concentration        0.731470          -0.769230   \nrooms_per_dwelling                -0.240265           0.205246   \nage_proportion                     1.000000          -0.747881   \nemployment_access                 -0.747881           1.000000   \nhighways_accessibility             0.456022          -0.494588   \nproperty_tax_rate                  0.506456          -0.534432   \npupil_teacher_ratio                0.261515          -0.232471   \nblack_proportion                  -0.273534           0.291512   \nlower_status_population            0.602339          -0.496996   \nmedian_home_value                 -0.376955           0.249929   \n\n                             highways_accessibility  property_tax_rate  \\\ncrime_rate                                 0.625505           0.582764   \nresidential_land_proportion               -0.311948          -0.314563   \nnon_retail_acres                           0.595129           0.720760   \ncharles_river_dummy                       -0.007368          -0.035587   \nnitric_oxides_concentration                0.611441           0.668023   \nrooms_per_dwelling                        -0.209847          -0.292048   \nage_proportion                             0.456022           0.506456   \nemployment_access                         -0.494588          -0.534432   \nhighways_accessibility                     1.000000           0.910228   \nproperty_tax_rate                          0.910228           1.000000   \npupil_teacher_ratio                        0.464741           0.460853   \nblack_proportion                          -0.444413          -0.441808   \nlower_status_population                    0.488676           0.543993   \nmedian_home_value                         -0.381626          -0.468536   \n\n                             pupil_teacher_ratio  black_proportion  \\\ncrime_rate                              0.289946         -0.385064   \nresidential_land_proportion            -0.391679          0.175520   \nnon_retail_acres                        0.383248         -0.356977   \ncharles_river_dummy                    -0.121515          0.048788   \nnitric_oxides_concentration             0.188933         -0.380051   \nrooms_per_dwelling                     -0.355501          0.128069   \nage_proportion                          0.261515         -0.273534   \nemployment_access                      -0.232471          0.291512   \nhighways_accessibility                  0.464741         -0.444413   \nproperty_tax_rate                       0.460853         -0.441808   \npupil_teacher_ratio                     1.000000         -0.177383   \nblack_proportion                       -0.177383          1.000000   \nlower_status_population                 0.374044         -0.366087   \nmedian_home_value                      -0.507787          0.333461   \n\n                             lower_status_population  median_home_value  \ncrime_rate                                  0.455621          -0.388305  \nresidential_land_proportion                -0.412995           0.360445  \nnon_retail_acres                            0.603800          -0.483725  \ncharles_river_dummy                        -0.053929           0.175260  \nnitric_oxides_concentration                 0.590879          -0.427321  \nrooms_per_dwelling                         -0.613808           0.695360  \nage_proportion                              0.602339          -0.376955  \nemployment_access                          -0.496996           0.249929  \nhighways_accessibility                      0.488676          -0.381626  \nproperty_tax_rate                           0.543993          -0.468536  \npupil_teacher_ratio                         0.374044          -0.507787  \nblack_proportion                           -0.366087           0.333461  \nlower_status_population                     1.000000          -0.737663  \nmedian_home_value                          -0.737663           1.000000  ","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>crime_rate</th>\n      <th>residential_land_proportion</th>\n      <th>non_retail_acres</th>\n      <th>charles_river_dummy</th>\n      <th>nitric_oxides_concentration</th>\n      <th>rooms_per_dwelling</th>\n      <th>age_proportion</th>\n      <th>employment_access</th>\n      <th>highways_accessibility</th>\n      <th>property_tax_rate</th>\n      <th>pupil_teacher_ratio</th>\n      <th>black_proportion</th>\n      <th>lower_status_population</th>\n      <th>median_home_value</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>crime_rate</th>\n      <td>1.000000</td>\n      <td>-0.200469</td>\n      <td>0.406583</td>\n      <td>-0.055892</td>\n      <td>0.420972</td>\n      <td>-0.219247</td>\n      <td>0.352734</td>\n      <td>-0.379670</td>\n      <td>0.625505</td>\n      <td>0.582764</td>\n      <td>0.289946</td>\n      <td>-0.385064</td>\n      <td>0.455621</td>\n      <td>-0.388305</td>\n    </tr>\n    <tr>\n      <th>residential_land_proportion</th>\n      <td>-0.200469</td>\n      <td>1.000000</td>\n      <td>-0.533828</td>\n      <td>-0.042697</td>\n      <td>-0.516604</td>\n      <td>0.311991</td>\n      <td>-0.569537</td>\n      <td>0.664408</td>\n      <td>-0.311948</td>\n      <td>-0.314563</td>\n      <td>-0.391679</td>\n      <td>0.175520</td>\n      <td>-0.412995</td>\n      <td>0.360445</td>\n    </tr>\n    <tr>\n      <th>non_retail_acres</th>\n      <td>0.406583</td>\n      <td>-0.533828</td>\n      <td>1.000000</td>\n      <td>0.062938</td>\n      <td>0.763651</td>\n      <td>-0.391676</td>\n      <td>0.644779</td>\n      <td>-0.708027</td>\n      <td>0.595129</td>\n      <td>0.720760</td>\n      <td>0.383248</td>\n      <td>-0.356977</td>\n      <td>0.603800</td>\n      <td>-0.483725</td>\n    </tr>\n    <tr>\n      <th>charles_river_dummy</th>\n      <td>-0.055892</td>\n      <td>-0.042697</td>\n      <td>0.062938</td>\n      <td>1.000000</td>\n      <td>0.091203</td>\n      <td>0.091251</td>\n      <td>0.086518</td>\n      <td>-0.099176</td>\n      <td>-0.007368</td>\n      <td>-0.035587</td>\n      <td>-0.121515</td>\n      <td>0.048788</td>\n      <td>-0.053929</td>\n      <td>0.175260</td>\n    </tr>\n    <tr>\n      <th>nitric_oxides_concentration</th>\n      <td>0.420972</td>\n      <td>-0.516604</td>\n      <td>0.763651</td>\n      <td>0.091203</td>\n      <td>1.000000</td>\n      <td>-0.302188</td>\n      <td>0.731470</td>\n      <td>-0.769230</td>\n      <td>0.611441</td>\n      <td>0.668023</td>\n      <td>0.188933</td>\n      <td>-0.380051</td>\n      <td>0.590879</td>\n      <td>-0.427321</td>\n    </tr>\n    <tr>\n      <th>rooms_per_dwelling</th>\n      <td>-0.219247</td>\n      <td>0.311991</td>\n      <td>-0.391676</td>\n      <td>0.091251</td>\n      <td>-0.302188</td>\n      <td>1.000000</td>\n      <td>-0.240265</td>\n      <td>0.205246</td>\n      <td>-0.209847</td>\n      <td>-0.292048</td>\n      <td>-0.355501</td>\n      <td>0.128069</td>\n      <td>-0.613808</td>\n      <td>0.695360</td>\n    </tr>\n    <tr>\n      <th>age_proportion</th>\n      <td>0.352734</td>\n      <td>-0.569537</td>\n      <td>0.644779</td>\n      <td>0.086518</td>\n      <td>0.731470</td>\n      <td>-0.240265</td>\n      <td>1.000000</td>\n      <td>-0.747881</td>\n      <td>0.456022</td>\n      <td>0.506456</td>\n      <td>0.261515</td>\n      <td>-0.273534</td>\n      <td>0.602339</td>\n      <td>-0.376955</td>\n    </tr>\n    <tr>\n      <th>employment_access</th>\n      <td>-0.379670</td>\n      <td>0.664408</td>\n      <td>-0.708027</td>\n      <td>-0.099176</td>\n      <td>-0.769230</td>\n      <td>0.205246</td>\n      <td>-0.747881</td>\n      <td>1.000000</td>\n      <td>-0.494588</td>\n      <td>-0.534432</td>\n      <td>-0.232471</td>\n      <td>0.291512</td>\n      <td>-0.496996</td>\n      <td>0.249929</td>\n    </tr>\n    <tr>\n      <th>highways_accessibility</th>\n      <td>0.625505</td>\n      <td>-0.311948</td>\n      <td>0.595129</td>\n      <td>-0.007368</td>\n      <td>0.611441</td>\n      <td>-0.209847</td>\n      <td>0.456022</td>\n      <td>-0.494588</td>\n      <td>1.000000</td>\n      <td>0.910228</td>\n      <td>0.464741</td>\n      <td>-0.444413</td>\n      <td>0.488676</td>\n      <td>-0.381626</td>\n    </tr>\n    <tr>\n      <th>property_tax_rate</th>\n      <td>0.582764</td>\n      <td>-0.314563</td>\n      <td>0.720760</td>\n      <td>-0.035587</td>\n      <td>0.668023</td>\n      <td>-0.292048</td>\n      <td>0.506456</td>\n      <td>-0.534432</td>\n      <td>0.910228</td>\n      <td>1.000000</td>\n      <td>0.460853</td>\n      <td>-0.441808</td>\n      <td>0.543993</td>\n      <td>-0.468536</td>\n    </tr>\n    <tr>\n      <th>pupil_teacher_ratio</th>\n      <td>0.289946</td>\n      <td>-0.391679</td>\n      <td>0.383248</td>\n      <td>-0.121515</td>\n      <td>0.188933</td>\n      <td>-0.355501</td>\n      <td>0.261515</td>\n      <td>-0.232471</td>\n      <td>0.464741</td>\n      <td>0.460853</td>\n      <td>1.000000</td>\n      <td>-0.177383</td>\n      <td>0.374044</td>\n      <td>-0.507787</td>\n    </tr>\n    <tr>\n      <th>black_proportion</th>\n      <td>-0.385064</td>\n      <td>0.175520</td>\n      <td>-0.356977</td>\n      <td>0.048788</td>\n      <td>-0.380051</td>\n      <td>0.128069</td>\n      <td>-0.273534</td>\n      <td>0.291512</td>\n      <td>-0.444413</td>\n      <td>-0.441808</td>\n      <td>-0.177383</td>\n      <td>1.000000</td>\n      <td>-0.366087</td>\n      <td>0.333461</td>\n    </tr>\n    <tr>\n      <th>lower_status_population</th>\n      <td>0.455621</td>\n      <td>-0.412995</td>\n      <td>0.603800</td>\n      <td>-0.053929</td>\n      <td>0.590879</td>\n      <td>-0.613808</td>\n      <td>0.602339</td>\n      <td>-0.496996</td>\n      <td>0.488676</td>\n      <td>0.543993</td>\n      <td>0.374044</td>\n      <td>-0.366087</td>\n      <td>1.000000</td>\n      <td>-0.737663</td>\n    </tr>\n    <tr>\n      <th>median_home_value</th>\n      <td>-0.388305</td>\n      <td>0.360445</td>\n      <td>-0.483725</td>\n      <td>0.175260</td>\n      <td>-0.427321</td>\n      <td>0.695360</td>\n      <td>-0.376955</td>\n      <td>0.249929</td>\n      <td>-0.381626</td>\n      <td>-0.468536</td>\n      <td>-0.507787</td>\n      <td>0.333461</td>\n      <td>-0.737663</td>\n      <td>1.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# Creating a heatmap for the different variables.\nimport seaborn as sns\n\ncorr_matrix = data.corr()\n\n# Creating the heatmap.\nplt.figure(figsize=(10, 8))\nsns.heatmap(corr_matrix, annot=True, cmap='coolwarm')\nplt.title('Correlation Heatmap', fontsize=16)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:19.409227Z","iopub.execute_input":"2024-06-07T07:16:19.410115Z","iopub.status.idle":"2024-06-07T07:16:20.326317Z","shell.execute_reply.started":"2024-06-07T07:16:19.410074Z","shell.execute_reply":"2024-06-07T07:16:20.325205Z"},"trusted":true},"execution_count":62,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x800 with 2 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"# Creating a scatter plot for some of the columns.\n\ncolumns = ['median_home_value', 'rooms_per_dwelling', 'property_tax_rate', 'nitric_oxides_concentration']\n\n# creating the scatter plot matrix.\nsns.pairplot(data[columns])\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:20.328164Z","iopub.execute_input":"2024-06-07T07:16:20.328535Z","iopub.status.idle":"2024-06-07T07:16:24.718964Z","shell.execute_reply.started":"2024-06-07T07:16:20.328503Z","shell.execute_reply":"2024-06-07T07:16:24.717540Z"},"trusted":true},"execution_count":63,"outputs":[{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n  with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n  with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n  with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n  with pd.option_context('mode.use_inf_as_na', True):\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x1000 with 20 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"},"metadata":{}}]},{"cell_type":"code","source":"data.columns","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:24.721809Z","iopub.execute_input":"2024-06-07T07:16:24.722690Z","iopub.status.idle":"2024-06-07T07:16:24.729295Z","shell.execute_reply.started":"2024-06-07T07:16:24.722654Z","shell.execute_reply":"2024-06-07T07:16:24.728240Z"},"trusted":true},"execution_count":64,"outputs":[{"execution_count":64,"output_type":"execute_result","data":{"text/plain":"Index(['crime_rate', 'residential_land_proportion', 'non_retail_acres',\n       'charles_river_dummy', 'nitric_oxides_concentration',\n       'rooms_per_dwelling', 'age_proportion', 'employment_access',\n       'highways_accessibility', 'property_tax_rate', 'pupil_teacher_ratio',\n       'black_proportion', 'lower_status_population', 'median_home_value'],\n      dtype='object')"},"metadata":{}}]},{"cell_type":"code","source":"data['median_home_value'].max()","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:24.730605Z","iopub.execute_input":"2024-06-07T07:16:24.731484Z","iopub.status.idle":"2024-06-07T07:16:24.746691Z","shell.execute_reply.started":"2024-06-07T07:16:24.731441Z","shell.execute_reply":"2024-06-07T07:16:24.745369Z"},"trusted":true},"execution_count":65,"outputs":[{"execution_count":65,"output_type":"execute_result","data":{"text/plain":"50.0"},"metadata":{}}]},{"cell_type":"code","source":"data['median_home_value'].min()","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:24.748385Z","iopub.execute_input":"2024-06-07T07:16:24.748846Z","iopub.status.idle":"2024-06-07T07:16:24.764033Z","shell.execute_reply.started":"2024-06-07T07:16:24.748805Z","shell.execute_reply":"2024-06-07T07:16:24.762561Z"},"trusted":true},"execution_count":66,"outputs":[{"execution_count":66,"output_type":"execute_result","data":{"text/plain":"5.0"},"metadata":{}}]},{"cell_type":"code","source":"# Creating a median home value category to allow for stratifed shuffle split.\n\ndata['home_value_cat'] = pd.cut(data['median_home_value'],\n                                  bins = [0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, np.inf],\n                                  labels = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11])","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:24.765401Z","iopub.execute_input":"2024-06-07T07:16:24.765765Z","iopub.status.idle":"2024-06-07T07:16:24.775850Z","shell.execute_reply.started":"2024-06-07T07:16:24.765735Z","shell.execute_reply":"2024-06-07T07:16:24.774835Z"},"trusted":true},"execution_count":67,"outputs":[]},{"cell_type":"code","source":"data['home_value_cat'].hist()","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:16:24.777408Z","iopub.execute_input":"2024-06-07T07:16:24.777799Z","iopub.status.idle":"2024-06-07T07:16:25.046762Z","shell.execute_reply.started":"2024-06-07T07:16:24.777763Z","shell.execute_reply":"2024-06-07T07:16:25.045477Z"},"trusted":true},"execution_count":68,"outputs":[{"execution_count":68,"output_type":"execute_result","data":{"text/plain":"<Axes: >"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 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"},"metadata":{}}]},{"cell_type":"code","source":"# Doing the scikitlearn StratifiedShuffleSplit using the home_value_cat.\nfrom sklearn.model_selection import StratifiedShuffleSplit","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:20:20.390067Z","iopub.execute_input":"2024-06-07T07:20:20.391285Z","iopub.status.idle":"2024-06-07T07:20:20.396226Z","shell.execute_reply.started":"2024-06-07T07:20:20.391236Z","shell.execute_reply":"2024-06-07T07:20:20.394827Z"},"trusted":true},"execution_count":69,"outputs":[]},{"cell_type":"code","source":"split = StratifiedShuffleSplit(n_splits=1, test_size=0.2, random_state=42)\nfor train_index, test_index in split.split(data, data['home_value_cat']):\n    strat_train_set = data.loc[train_index]\n    strat_test_set = data.loc[test_index]","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:23:12.666250Z","iopub.execute_input":"2024-06-07T07:23:12.666673Z","iopub.status.idle":"2024-06-07T07:23:12.677752Z","shell.execute_reply.started":"2024-06-07T07:23:12.666640Z","shell.execute_reply":"2024-06-07T07:23:12.676634Z"},"trusted":true},"execution_count":70,"outputs":[]},{"cell_type":"code","source":"# Confirming the functionality of the stratified sampling.\nstrat_test_set['home_value_cat'].value_counts() / len(strat_test_set)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:25:22.514099Z","iopub.execute_input":"2024-06-07T07:25:22.514489Z","iopub.status.idle":"2024-06-07T07:25:22.527448Z","shell.execute_reply.started":"2024-06-07T07:25:22.514461Z","shell.execute_reply":"2024-06-07T07:25:22.526275Z"},"trusted":true},"execution_count":72,"outputs":[{"execution_count":72,"output_type":"execute_result","data":{"text/plain":"home_value_cat\n5     0.333333\n4     0.235294\n3     0.147059\n6     0.078431\n7     0.068627\n2     0.049020\n10    0.039216\n8     0.029412\n9     0.019608\n1     0.000000\n11    0.000000\nName: count, dtype: float64"},"metadata":{}}]},{"cell_type":"code","source":"data.columns","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:26:03.308195Z","iopub.execute_input":"2024-06-07T07:26:03.308615Z","iopub.status.idle":"2024-06-07T07:26:03.316668Z","shell.execute_reply.started":"2024-06-07T07:26:03.308581Z","shell.execute_reply":"2024-06-07T07:26:03.315435Z"},"trusted":true},"execution_count":73,"outputs":[{"execution_count":73,"output_type":"execute_result","data":{"text/plain":"Index(['crime_rate', 'residential_land_proportion', 'non_retail_acres',\n       'charles_river_dummy', 'nitric_oxides_concentration',\n       'rooms_per_dwelling', 'age_proportion', 'employment_access',\n       'highways_accessibility', 'property_tax_rate', 'pupil_teacher_ratio',\n       'black_proportion', 'lower_status_population', 'median_home_value',\n       'home_value_cat'],\n      dtype='object')"},"metadata":{}}]},{"cell_type":"code","source":"# removing the temporary housing value category column.\nfor set_ in (strat_train_set, strat_test_set):\n    set_.drop('home_value_cat', axis=1, inplace=True)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:27:38.201054Z","iopub.execute_input":"2024-06-07T07:27:38.202299Z","iopub.status.idle":"2024-06-07T07:27:38.208871Z","shell.execute_reply.started":"2024-06-07T07:27:38.202260Z","shell.execute_reply":"2024-06-07T07:27:38.207654Z"},"trusted":true},"execution_count":74,"outputs":[]},{"cell_type":"code","source":"strat_train_set.columns","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:28:11.609524Z","iopub.execute_input":"2024-06-07T07:28:11.609893Z","iopub.status.idle":"2024-06-07T07:28:11.617259Z","shell.execute_reply.started":"2024-06-07T07:28:11.609865Z","shell.execute_reply":"2024-06-07T07:28:11.616120Z"},"trusted":true},"execution_count":76,"outputs":[{"execution_count":76,"output_type":"execute_result","data":{"text/plain":"Index(['crime_rate', 'residential_land_proportion', 'non_retail_acres',\n       'charles_river_dummy', 'nitric_oxides_concentration',\n       'rooms_per_dwelling', 'age_proportion', 'employment_access',\n       'highways_accessibility', 'property_tax_rate', 'pupil_teacher_ratio',\n       'black_proportion', 'lower_status_population', 'median_home_value'],\n      dtype='object')"},"metadata":{}}]},{"cell_type":"markdown","source":"# Preparing the Data for Machine Learning Algorithms.","metadata":{}},{"cell_type":"code","source":"data = strat_train_set.drop(\"median_home_value\", axis=1)\ndata_labels = strat_train_set[\"median_home_value\"].copy()","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:38:54.414157Z","iopub.execute_input":"2024-06-07T07:38:54.414563Z","iopub.status.idle":"2024-06-07T07:38:54.422410Z","shell.execute_reply.started":"2024-06-07T07:38:54.414531Z","shell.execute_reply":"2024-06-07T07:38:54.421120Z"},"trusted":true},"execution_count":77,"outputs":[]},{"cell_type":"code","source":"# Creating an imputer to fill in the missing values with the median of that numerical column.\nfrom sklearn.impute import SimpleImputer","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:41:23.247259Z","iopub.execute_input":"2024-06-07T07:41:23.247628Z","iopub.status.idle":"2024-06-07T07:41:23.439814Z","shell.execute_reply.started":"2024-06-07T07:41:23.247602Z","shell.execute_reply":"2024-06-07T07:41:23.438612Z"},"trusted":true},"execution_count":79,"outputs":[]},{"cell_type":"code","source":"imputer = SimpleImputer(strategy=\"median\")","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:42:02.490639Z","iopub.execute_input":"2024-06-07T07:42:02.491457Z","iopub.status.idle":"2024-06-07T07:42:02.496021Z","shell.execute_reply.started":"2024-06-07T07:42:02.491421Z","shell.execute_reply":"2024-06-07T07:42:02.494904Z"},"trusted":true},"execution_count":80,"outputs":[]},{"cell_type":"code","source":"# Fitting the imputer instance to the training data.\nimputer.fit(data)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:43:08.129732Z","iopub.execute_input":"2024-06-07T07:43:08.130786Z","iopub.status.idle":"2024-06-07T07:43:08.143376Z","shell.execute_reply.started":"2024-06-07T07:43:08.130746Z","shell.execute_reply":"2024-06-07T07:43:08.142171Z"},"trusted":true},"execution_count":81,"outputs":[{"execution_count":81,"output_type":"execute_result","data":{"text/plain":"SimpleImputer(strategy='median')","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>SimpleImputer(strategy=&#x27;median&#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-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SimpleImputer</label><div class=\"sk-toggleable__content\"><pre>SimpleImputer(strategy=&#x27;median&#x27;)</pre></div></div></div></div></div>"},"metadata":{}}]},{"cell_type":"code","source":"imputer.statistics_","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:43:28.826606Z","iopub.execute_input":"2024-06-07T07:43:28.827041Z","iopub.status.idle":"2024-06-07T07:43:28.834391Z","shell.execute_reply.started":"2024-06-07T07:43:28.827007Z","shell.execute_reply":"2024-06-07T07:43:28.833279Z"},"trusted":true},"execution_count":82,"outputs":[{"execution_count":82,"output_type":"execute_result","data":{"text/plain":"array([2.29015e-01, 0.00000e+00, 9.69000e+00, 0.00000e+00, 5.32000e-01,\n       6.20200e+00, 7.67000e+01, 3.30570e+00, 5.00000e+00, 3.30000e+02,\n       1.88500e+01, 3.91985e+02, 1.12350e+01])"},"metadata":{}}]},{"cell_type":"code","source":"data.median().values","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:43:58.978578Z","iopub.execute_input":"2024-06-07T07:43:58.979083Z","iopub.status.idle":"2024-06-07T07:43:58.992097Z","shell.execute_reply.started":"2024-06-07T07:43:58.979041Z","shell.execute_reply":"2024-06-07T07:43:58.990677Z"},"trusted":true},"execution_count":83,"outputs":[{"execution_count":83,"output_type":"execute_result","data":{"text/plain":"array([2.29015e-01, 0.00000e+00, 9.69000e+00, 0.00000e+00, 5.32000e-01,\n       6.20200e+00, 7.67000e+01, 3.30570e+00, 5.00000e+00, 3.30000e+02,\n       1.88500e+01, 3.91985e+02, 1.12350e+01])"},"metadata":{}}]},{"cell_type":"code","source":"# Now we can use this \"trained\" imputer to transform the training set by replacing the missing values in the training set.\nX = imputer.transform(data)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:48:22.728273Z","iopub.execute_input":"2024-06-07T07:48:22.728669Z","iopub.status.idle":"2024-06-07T07:48:22.737380Z","shell.execute_reply.started":"2024-06-07T07:48:22.728628Z","shell.execute_reply":"2024-06-07T07:48:22.736152Z"},"trusted":true},"execution_count":84,"outputs":[]},{"cell_type":"code","source":"data = pd.DataFrame(X, columns=data.columns, index=data.index)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:51:07.816552Z","iopub.execute_input":"2024-06-07T07:51:07.817002Z","iopub.status.idle":"2024-06-07T07:51:07.822428Z","shell.execute_reply.started":"2024-06-07T07:51:07.816964Z","shell.execute_reply":"2024-06-07T07:51:07.821185Z"},"trusted":true},"execution_count":85,"outputs":[]},{"cell_type":"code","source":"# Creating a Numerical Data Pipeline.\n\nfrom sklearn.pipeline import Pipeline\nfrom sklearn.preprocessing import StandardScaler","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:55:31.033079Z","iopub.execute_input":"2024-06-07T07:55:31.033484Z","iopub.status.idle":"2024-06-07T07:55:31.042021Z","shell.execute_reply.started":"2024-06-07T07:55:31.033451Z","shell.execute_reply":"2024-06-07T07:55:31.040707Z"},"trusted":true},"execution_count":86,"outputs":[]},{"cell_type":"markdown","source":"## Creating a Numerical Data Pipeline.","metadata":{}},{"cell_type":"code","source":"data_pipeline = Pipeline([\n    ('imputer', SimpleImputer(strategy=\"median\")),\n    ('std_scaler', StandardScaler()),\n])\n\ndata_tr = data_pipeline.fit_transform(data)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:58:53.568015Z","iopub.execute_input":"2024-06-07T07:58:53.568418Z","iopub.status.idle":"2024-06-07T07:58:53.584171Z","shell.execute_reply.started":"2024-06-07T07:58:53.568386Z","shell.execute_reply":"2024-06-07T07:58:53.582764Z"},"trusted":true},"execution_count":87,"outputs":[]},{"cell_type":"code","source":"data_tr","metadata":{"execution":{"iopub.status.busy":"2024-06-07T07:59:18.205466Z","iopub.execute_input":"2024-06-07T07:59:18.205856Z","iopub.status.idle":"2024-06-07T07:59:18.214450Z","shell.execute_reply.started":"2024-06-07T07:59:18.205826Z","shell.execute_reply":"2024-06-07T07:59:18.213396Z"},"trusted":true},"execution_count":88,"outputs":[{"execution_count":88,"output_type":"execute_result","data":{"text/plain":"array([[-0.2492046 , -0.500292  , -0.4440983 , ...,  1.19048592,\n         0.19669638,  0.0625823 ],\n       [-0.39483247,  1.96656683, -1.38062722, ..., -0.04614111,\n         0.38115439, -0.68150122],\n       [-0.39615897, -0.500292  ,  0.1062032 , ...,  1.19048592,\n         0.43519113, -0.98622114],\n       ...,\n       [-0.00848726, -0.500292  ,  1.00207661, ...,  0.82407791,\n        -0.06556507, -1.0358267 ],\n       [-0.38852028, -0.500292  , -0.38311502, ...,  1.14468492,\n         0.4155629 , -0.04654995],\n       [-0.38243637, -0.500292  , -0.55444899, ...,  0.5492719 ,\n         0.43519113, -0.811893  ]])"},"metadata":{}}]},{"cell_type":"markdown","source":"## Training Linear Regression models.","metadata":{}},{"cell_type":"code","source":"from sklearn.linear_model import LinearRegression\n\nlin_reg = LinearRegression()\nlin_reg.fit(data_tr, data_labels)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T08:11:41.731490Z","iopub.execute_input":"2024-06-07T08:11:41.731891Z","iopub.status.idle":"2024-06-07T08:11:41.760877Z","shell.execute_reply.started":"2024-06-07T08:11:41.731861Z","shell.execute_reply":"2024-06-07T08:11:41.759810Z"},"trusted":true},"execution_count":89,"outputs":[{"execution_count":89,"output_type":"execute_result","data":{"text/plain":"LinearRegression()","text/html":"<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 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-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 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-2 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-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 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-2 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-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 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-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 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-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 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-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" 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-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"},"metadata":{}}]},{"cell_type":"code","source":"def display_scores(scores):\n    print(\"Scores:\", scores)\n    print(\"Mean:\", scores.mean())\n    print(\"Standard deviation:\", scores.std())","metadata":{"execution":{"iopub.status.busy":"2024-06-07T08:19:47.155345Z","iopub.execute_input":"2024-06-07T08:19:47.155908Z","iopub.status.idle":"2024-06-07T08:19:47.162171Z","shell.execute_reply.started":"2024-06-07T08:19:47.155868Z","shell.execute_reply":"2024-06-07T08:19:47.160806Z"},"trusted":true},"execution_count":90,"outputs":[]},{"cell_type":"code","source":"from sklearn.model_selection import cross_val_score","metadata":{"execution":{"iopub.status.busy":"2024-06-07T08:20:35.694287Z","iopub.execute_input":"2024-06-07T08:20:35.695430Z","iopub.status.idle":"2024-06-07T08:20:35.700064Z","shell.execute_reply.started":"2024-06-07T08:20:35.695382Z","shell.execute_reply":"2024-06-07T08:20:35.698881Z"},"trusted":true},"execution_count":92,"outputs":[]},{"cell_type":"code","source":"# Performing cross-validation in the Linear Regression Model.\n\nlin_scores = cross_val_score(lin_reg, data_tr, data_labels, scoring=\"neg_mean_squared_error\", cv=10)\nlin_rmse_scores = np.sort(-lin_scores)\ndisplay_scores(lin_rmse_scores)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T08:20:38.574375Z","iopub.execute_input":"2024-06-07T08:20:38.574816Z","iopub.status.idle":"2024-06-07T08:20:38.618209Z","shell.execute_reply.started":"2024-06-07T08:20:38.574784Z","shell.execute_reply":"2024-06-07T08:20:38.616768Z"},"trusted":true},"execution_count":93,"outputs":[{"name":"stdout","text":"Scores: [11.030715   12.07361047 14.2292208  15.8852475  20.81571697 25.81439723\n 26.39590487 30.05289605 37.3778544  42.37515595]\nMean: 23.605071923167316\nStandard deviation: 10.210884997081582\n","output_type":"stream"}]},{"cell_type":"code","source":"# Training a decision tree regressor\n\nfrom sklearn.tree import DecisionTreeRegressor\n\ntree_reg = DecisionTreeRegressor()\ntree_reg.fit(data_tr, data_labels)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T08:35:13.959552Z","iopub.execute_input":"2024-06-07T08:35:13.959962Z","iopub.status.idle":"2024-06-07T08:35:14.009297Z","shell.execute_reply.started":"2024-06-07T08:35:13.959916Z","shell.execute_reply":"2024-06-07T08:35:14.008247Z"},"trusted":true},"execution_count":94,"outputs":[{"execution_count":94,"output_type":"execute_result","data":{"text/plain":"DecisionTreeRegressor()","text/html":"<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 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-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 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-3 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-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 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-3 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-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 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-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 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-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 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-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeRegressor()</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-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeRegressor</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeRegressor()</pre></div></div></div></div></div>"},"metadata":{}}]},{"cell_type":"code","source":"# evaluation using the K-fold cross validation.\nscores = cross_val_score(tree_reg, data_tr, data_labels,\n                        scoring=\"neg_mean_squared_error\", cv=10)\ntree_rmse_scores = np.sqrt(-scores)\ndisplay_scores(tree_rmse_scores)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T08:38:05.049777Z","iopub.execute_input":"2024-06-07T08:38:05.050471Z","iopub.status.idle":"2024-06-07T08:38:05.109470Z","shell.execute_reply.started":"2024-06-07T08:38:05.050437Z","shell.execute_reply":"2024-06-07T08:38:05.108382Z"},"trusted":true},"execution_count":96,"outputs":[{"name":"stdout","text":"Scores: [4.51814769 4.00204216 9.03000419 3.39184819 4.14677586 5.28140606\n 6.72104903 6.50274942 2.87097544 4.071302  ]\nMean: 5.053630003682821\nStandard deviation: 1.7733893428930156\n","output_type":"stream"}]},{"cell_type":"code","source":"# Training random Forests.\n\nfrom sklearn.ensemble import RandomForestRegressor\nforest_reg = RandomForestRegressor()\nforest_reg.fit(data_tr, data_labels)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T09:46:52.692140Z","iopub.execute_input":"2024-06-07T09:46:52.692530Z","iopub.status.idle":"2024-06-07T09:46:53.066303Z","shell.execute_reply.started":"2024-06-07T09:46:52.692499Z","shell.execute_reply":"2024-06-07T09:46:53.065077Z"},"trusted":true},"execution_count":118,"outputs":[{"execution_count":118,"output_type":"execute_result","data":{"text/plain":"RandomForestRegressor()","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: black;}#sk-container-id-6 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-6 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 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-6 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-6 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 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-6 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-6 div.sk-item {position: relative;z-index: 1;}#sk-container-id-6 div.sk-parallel {display: flex;align-items: 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>RandomForestRegressor()</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-8\" type=\"checkbox\" checked><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor()</pre></div></div></div></div></div>"},"metadata":{}}]},{"cell_type":"code","source":"# Evaluating the random forest regressor.\nfrom sklearn.metrics import mean_squared_error\n\ndata_predictions = forest_reg.predict(data_tr)\nforest_mse = mean_squared_error(data_labels, data_predictions)\nforest_rmse = np.sqrt(forest_mse)\nforest_rmse","metadata":{"execution":{"iopub.status.busy":"2024-06-07T09:46:55.795768Z","iopub.execute_input":"2024-06-07T09:46:55.796156Z","iopub.status.idle":"2024-06-07T09:46:55.816894Z","shell.execute_reply.started":"2024-06-07T09:46:55.796126Z","shell.execute_reply":"2024-06-07T09:46:55.815773Z"},"trusted":true},"execution_count":119,"outputs":[{"execution_count":119,"output_type":"execute_result","data":{"text/plain":"1.354650465494094"},"metadata":{}}]},{"cell_type":"code","source":"# Training a support vecor machine.\nfrom sklearn.svm import SVR\nfrom sklearn.metrics import mean_squared_error\n\nsvr_reg = SVR()\n\nsvr_reg.fit(data_tr, data_labels)\ndata_predictions = svr_reg.predict(data_tr)\nsvr_mse = mean_squared_error(data_labels, data_predictions)\n\n# calculating the RMSE\nsvr_rmse = np.sqrt(svr_mse)\n\nprint(f'SVR RMSE: {svr_rmse}')","metadata":{"execution":{"iopub.status.busy":"2024-06-07T09:17:54.988836Z","iopub.execute_input":"2024-06-07T09:17:54.989261Z","iopub.status.idle":"2024-06-07T09:17:55.019714Z","shell.execute_reply.started":"2024-06-07T09:17:54.989229Z","shell.execute_reply":"2024-06-07T09:17:55.018687Z"},"trusted":true},"execution_count":106,"outputs":[{"name":"stdout","text":"SVR RMSE: 5.246254071616638\n","output_type":"stream"}]},{"cell_type":"code","source":"# Fine Tuning the Model using grid-search.\n\nfrom sklearn.model_selection import GridSearchCV\n\nparam_grid = [\n    {'n_estimators': [3, 5, 10 ,30], 'max_features':[2, 4, 6, 8, 10]},\n    {'bootstrap': [False], 'n_estimators': [3, 10], 'max_features': [2, 3, 4]}\n]\n\nforest_reg = RandomForestRegressor()\n\ngrid_search = GridSearchCV(forest_reg, param_grid, cv=5, scoring='neg_mean_squared_error', return_train_score=True)\n\ngrid_search.fit(data_tr, data_labels)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T09:30:20.363630Z","iopub.execute_input":"2024-06-07T09:30:20.364026Z","iopub.status.idle":"2024-06-07T09:30:24.129802Z","shell.execute_reply.started":"2024-06-07T09:30:20.363996Z","shell.execute_reply":"2024-06-07T09:30:24.128722Z"},"trusted":true},"execution_count":111,"outputs":[{"execution_count":111,"output_type":"execute_result","data":{"text/plain":"GridSearchCV(cv=5, estimator=RandomForestRegressor(),\n             param_grid=[{'max_features': [2, 4, 6, 8, 10],\n                          'n_estimators': [3, 5, 10, 30]},\n                         {'bootstrap': [False], 'max_features': [2, 3, 4],\n                          'n_estimators': [3, 10]}],\n             return_train_score=True, scoring='neg_mean_squared_error')","text/html":"<style>#sk-container-id-5 {color: black;background-color: white;}#sk-container-id-5 pre{padding: 0;}#sk-container-id-5 div.sk-toggleable {background-color: white;}#sk-container-id-5 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-5 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-5 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-5 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-5 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 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-5 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-5 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-5 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 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-5 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-5 div.sk-item {position: relative;z-index: 1;}#sk-container-id-5 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-5 div.sk-item::before, #sk-container-id-5 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-5 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-5 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-5 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-5 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-5 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-5 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-5 div.sk-label-container {text-align: center;}#sk-container-id-5 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-5 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=5, estimator=RandomForestRegressor(),\n             param_grid=[{&#x27;max_features&#x27;: [2, 4, 6, 8, 10],\n                          &#x27;n_estimators&#x27;: [3, 5, 10, 30]},\n                         {&#x27;bootstrap&#x27;: [False], &#x27;max_features&#x27;: [2, 3, 4],\n                          &#x27;n_estimators&#x27;: [3, 10]}],\n             return_train_score=True, scoring=&#x27;neg_mean_squared_error&#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 sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=5, estimator=RandomForestRegressor(),\n             param_grid=[{&#x27;max_features&#x27;: [2, 4, 6, 8, 10],\n                          &#x27;n_estimators&#x27;: [3, 5, 10, 30]},\n                         {&#x27;bootstrap&#x27;: [False], &#x27;max_features&#x27;: [2, 3, 4],\n                          &#x27;n_estimators&#x27;: [3, 10]}],\n             return_train_score=True, scoring=&#x27;neg_mean_squared_error&#x27;)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor()</pre></div></div></div><div class=\"sk-serial\"><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\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor()</pre></div></div></div></div></div></div></div></div></div></div>"},"metadata":{}}]},{"cell_type":"code","source":"cvres = grid_search.cv_results_\nfor mean_score, params in zip(cvres[\"mean_test_score\"], cvres[\"params\"]):\n    print(np.sqrt(-mean_score), params)","metadata":{"execution":{"iopub.status.busy":"2024-06-07T09:32:12.661132Z","iopub.execute_input":"2024-06-07T09:32:12.661505Z","iopub.status.idle":"2024-06-07T09:32:12.668306Z","shell.execute_reply.started":"2024-06-07T09:32:12.661478Z","shell.execute_reply":"2024-06-07T09:32:12.667006Z"},"trusted":true},"execution_count":112,"outputs":[{"name":"stdout","text":"5.17306831935967 {'max_features': 2, 'n_estimators': 3}\n5.109053107408553 {'max_features': 2, 'n_estimators': 5}\n4.355901842101667 {'max_features': 2, 'n_estimators': 10}\n4.177088804456461 {'max_features': 2, 'n_estimators': 30}\n5.0325840576852805 {'max_features': 4, 'n_estimators': 3}\n4.429943202545354 {'max_features': 4, 'n_estimators': 5}\n4.256483231495221 {'max_features': 4, 'n_estimators': 10}\n4.022066127180519 {'max_features': 4, 'n_estimators': 30}\n4.408981044934911 {'max_features': 6, 'n_estimators': 3}\n4.4688526022064 {'max_features': 6, 'n_estimators': 5}\n4.000216972510428 {'max_features': 6, 'n_estimators': 10}\n4.011294311032993 {'max_features': 6, 'n_estimators': 30}\n4.827222534807018 {'max_features': 8, 'n_estimators': 3}\n4.448275319827635 {'max_features': 8, 'n_estimators': 5}\n4.11425296048256 {'max_features': 8, 'n_estimators': 10}\n4.02759834759978 {'max_features': 8, 'n_estimators': 30}\n4.394871933757449 {'max_features': 10, 'n_estimators': 3}\n4.179099908997476 {'max_features': 10, 'n_estimators': 5}\n4.1859670280446 {'max_features': 10, 'n_estimators': 10}\n4.16193071491107 {'max_features': 10, 'n_estimators': 30}\n4.687408139017595 {'bootstrap': False, 'max_features': 2, 'n_estimators': 3}\n4.448109671326478 {'bootstrap': False, 'max_features': 2, 'n_estimators': 10}\n4.682648650945639 {'bootstrap': False, 'max_features': 3, 'n_estimators': 3}\n4.308479459875937 {'bootstrap': False, 'max_features': 3, 'n_estimators': 10}\n4.770114030092185 {'bootstrap': False, 'max_features': 4, 'n_estimators': 3}\n4.168705332742357 {'bootstrap': False, 'max_features': 4, 'n_estimators': 10}\n","output_type":"stream"}]},{"cell_type":"code","source":"grid_search.best_params_","metadata":{"execution":{"iopub.status.busy":"2024-06-07T09:32:43.101067Z","iopub.execute_input":"2024-06-07T09:32:43.102092Z","iopub.status.idle":"2024-06-07T09:32:43.110393Z","shell.execute_reply.started":"2024-06-07T09:32:43.102046Z","shell.execute_reply":"2024-06-07T09:32:43.108799Z"},"trusted":true},"execution_count":113,"outputs":[{"execution_count":113,"output_type":"execute_result","data":{"text/plain":"{'max_features': 6, 'n_estimators': 10}"},"metadata":{}}]},{"cell_type":"code","source":"# Training our forest on the best parameters.\nbest_params = {'max_features': 6, 'n_estimators': 10}\n\nbest_forest_reg = RandomForestRegressor(**best_params)\n\nbest_forest_reg.fit(data_tr, data_labels)\n\ndata_predictions = best_forest_reg.predict(data_tr)\n\nforest_mse = mean_squared_error(data_labels, data_predictions)\nforest_rmse = np.sqrt(forest_mse)\n\nprint(f\"Trained model RMSE: {forest_rmse}\")","metadata":{"execution":{"iopub.status.busy":"2024-06-07T09:45:44.259128Z","iopub.execute_input":"2024-06-07T09:45:44.259494Z","iopub.status.idle":"2024-06-07T09:45:44.297484Z","shell.execute_reply.started":"2024-06-07T09:45:44.259466Z","shell.execute_reply":"2024-06-07T09:45:44.296324Z"},"trusted":true},"execution_count":117,"outputs":[{"name":"stdout","text":"Trained model RMSE: 1.4426602387105691\n","output_type":"stream"}]},{"cell_type":"code","source":"forest_rmse","metadata":{"execution":{"iopub.status.busy":"2024-06-07T09:47:06.964271Z","iopub.execute_input":"2024-06-07T09:47:06.965196Z","iopub.status.idle":"2024-06-07T09:47:06.971848Z","shell.execute_reply.started":"2024-06-07T09:47:06.965150Z","shell.execute_reply":"2024-06-07T09:47:06.970867Z"},"trusted":true},"execution_count":120,"outputs":[{"execution_count":120,"output_type":"execute_result","data":{"text/plain":"1.354650465494094"},"metadata":{}}]},{"cell_type":"markdown","source":"# Evaluating the System on the test set","metadata":{}},{"cell_type":"code","source":"final_model = forest_reg","metadata":{"execution":{"iopub.status.busy":"2024-06-07T09:48:32.420569Z","iopub.execute_input":"2024-06-07T09:48:32.420965Z","iopub.status.idle":"2024-06-07T09:48:32.426394Z","shell.execute_reply.started":"2024-06-07T09:48:32.420917Z","shell.execute_reply":"2024-06-07T09:48:32.424880Z"},"trusted":true},"execution_count":121,"outputs":[]},{"cell_type":"code","source":"X_test = strat_test_set.drop(\"median_home_value\", axis=1)\ny_test = strat_test_set[\"median_home_value\"].copy()\n\nX_test_prepared = data_pipeline.fit_transform(X_test)\n\nfinal_predictions = final_model.predict(X_test_prepared)\nfinal_mse = mean_squared_error(y_test, final_predictions)\nfinal_rmse = np.sqrt(final_mse)\nfinal_rmse","metadata":{"execution":{"iopub.status.busy":"2024-06-07T09:54:03.481999Z","iopub.execute_input":"2024-06-07T09:54:03.482390Z","iopub.status.idle":"2024-06-07T09:54:03.506141Z","shell.execute_reply.started":"2024-06-07T09:54:03.482359Z","shell.execute_reply":"2024-06-07T09:54:03.505045Z"},"trusted":true},"execution_count":123,"outputs":[{"execution_count":123,"output_type":"execute_result","data":{"text/plain":"3.130563897083957"},"metadata":{}}]}]}