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tabular-playground

Tabular Classification
Scikit-learn
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Update README.md

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@@ -124,49 +124,17 @@ The model is trained with below hyperparameters.
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  | Hyperparameter | Value |
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  |-----------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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  | memory | |
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- | steps | [('transformation', ColumnTransformer(transformers=[('loading_missing_value_imputer',
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- SimpleImputer(), ['loading']),
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- ('numerical_missing_value_imputer',
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- SimpleImputer(),
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- ['loading', 'measurement_3', 'measurement_4',
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- 'measurement_5', 'measurement_6',
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- 'measurement_7', 'measurement_8',
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- 'measurement_9', 'measurement_10',
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- 'measurement_11', 'measurement_12',
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- 'measurement_13', 'measurement_14',
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- 'measurement_15', 'measurement_16',
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- 'measurement_17']),
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- ('attribute_0_encoder', OneHotEncoder(),
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- ['attribute_0']),
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- ('attribute_1_encoder', OneHotEncoder(),
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- ['attribute_1']),
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- ('product_code_encoder', OneHotEncoder(),
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- ['product_code'])])), ('model', DecisionTreeClassifier(max_depth=4))] |
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  | verbose | False |
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- | transformation | ColumnTransformer(transformers=[('loading_missing_value_imputer',
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- SimpleImputer(), ['loading']),
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- ('numerical_missing_value_imputer',
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- SimpleImputer(),
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- ['loading', 'measurement_3', 'measurement_4',
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- 'measurement_5', 'measurement_6',
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- 'measurement_7', 'measurement_8',
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- 'measurement_9', 'measurement_10',
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- 'measurement_11', 'measurement_12',
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- 'measurement_13', 'measurement_14',
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- 'measurement_15', 'measurement_16',
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- 'measurement_17']),
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- ('attribute_0_encoder', OneHotEncoder(),
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- ['attribute_0']),
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- ('attribute_1_encoder', OneHotEncoder(),
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- ['attribute_1']),
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- ('product_code_encoder', OneHotEncoder(),
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- ['product_code'])]) |
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  | model | DecisionTreeClassifier(max_depth=4) |
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  | transformation__n_jobs | |
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  | transformation__remainder | drop |
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  | transformation__sparse_threshold | 0.3 |
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  | transformation__transformer_weights | |
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- | transformation__transformers | [('loading_missing_value_imputer', SimpleImputer(), ['loading']), ('numerical_missing_value_imputer', SimpleImputer(), ['loading', 'measurement_3', 'measurement_4', 'measurement_5', 'measurement_6', 'measurement_7', 'measurement_8', 'measurement_9', 'measurement_10', 'measurement_11', 'measurement_12', 'measurement_13', 'measurement_14', 'measurement_15', 'measurement_16', 'measurement_17']), ('attribute_0_encoder', OneHotEncoder(), ['attribute_0']), ('attribute_1_encoder', OneHotEncoder(), ['attribute_1']), ('product_code_encoder', OneHotEncoder(), ['product_code'])] |
 
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  | transformation__verbose | False |
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  | transformation__verbose_feature_names_out | True |
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  | transformation__loading_missing_value_imputer | SimpleImputer() |
 
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  | Hyperparameter | Value |
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  |-----------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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  | memory | |
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+ | steps | [('transformation', ColumnTransformer(transformers=[('loading_missing_value_imputer', SimpleImputer(), ['loading']), ('numerical_missing_value_imputer', SimpleImputer(),['loading', 'measurement_3', 'measurement_4','measurement_5', 'measurement_6','measurement_7', 'measurement_8','measurement_9', 'measurement_10','measurement_11', 'measurement_12','measurement_13', 'measurement_14','measurement_15', 'measurement_16','measurement_17']),('attribute_0_encoder', OneHotEncoder(),['attribute_0']),('attribute_1_encoder', OneHotEncoder(),['attribute_1']),('product_code_encoder', OneHotEncoder(),['product_code'])])), ('model', DecisionTreeClassifier(max_depth=4))] |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  | verbose | False |
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+ | transformation | ColumnTransformer(transformers=[('loading_missing_value_imputer',SimpleImputer(), ['loading']),('numerical_missing_value_imputer',SimpleImputer(),['loading', 'measurement_3', 'measurement_4','measurement_5', 'measurement_6','measurement_7', 'measurement_8','measurement_9', 'measurement_10','measurement_11', 'measurement_12','measurement_13', 'measurement_14','measurement_15', 'measurement_16','measurement_17']),('attribute_0_encoder', OneHotEncoder(),['attribute_0']),('attribute_1_encoder', OneHotEncoder(),
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+ 'attribute_1']),('product_code_encoder', OneHotEncoder(),['product_code'])]) |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  | model | DecisionTreeClassifier(max_depth=4) |
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  | transformation__n_jobs | |
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  | transformation__remainder | drop |
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  | transformation__sparse_threshold | 0.3 |
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  | transformation__transformer_weights | |
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+ | transformation__transformers | [('loading_missing_value_imputer', SimpleImputer(), ['loading']), ('numerical_missing_value_imputer', SimpleImputer(), ['loading', 'measurement_3', 'measurement_4', 'measurement_5', 'measurement_6', 'measurement_7', 'measurement_8', 'measurement_9', 'measurement_10', 'measurement_11', 'measurement_12', 'measurement_13', 'measurement_14', 'measurement_15', 'measurement_16', 'measurement_17']), ('attribute_0_encoder', OneHotEncoder(), ['attribute_0']), ('attribute_1_encoder', OneHotEncoder(), ['attribute_1']), ('product_code_encoder', OneHotEncoder(),['product_code'])]
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+ |
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  | transformation__verbose | False |
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  | transformation__verbose_feature_names_out | True |
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  | transformation__loading_missing_value_imputer | SimpleImputer() |