Run
10154827

Run 10154827

Task 31 (Supervised Classification) credit-g Uploaded 20-02-2019 by Pieter Gijsbers
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Flow

sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer .ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=categor y_encoders.target_encoder.TargetEncoder),algorithm=sklearn.naive_bayes.Gaus sianNB)(2)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder),algorithm=sklearn.naive_bayes.GaussianNB)(2)_memorynull
sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder),algorithm=sklearn.naive_bayes.GaussianNB)(2)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "preprocessing", "step_name": "preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "algorithm", "step_name": "algorithm"}}]
sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder)(2)_n_jobsnull
sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder)(2)_remainder"passthrough"
sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder)(2)_sparse_threshold0.3
sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder)(2)_transformer_weightsnull
sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder)(2)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer", "argument_1": [1, 4, 7, 10, 12, 15, 17]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat_encoder", "step_name": "cat_encoder", "argument_1": [0, 2, 3, 5, 6, 8, 9, 11, 13, 14, 16, 18, 19]}}]
sklearn.impute.SimpleImputer(8)_copytrue
sklearn.impute.SimpleImputer(8)_fill_valuenull
sklearn.impute.SimpleImputer(8)_missing_valuesNaN
sklearn.impute.SimpleImputer(8)_strategy"mean"
sklearn.impute.SimpleImputer(8)_verbose0
category_encoders.target_encoder.TargetEncoder(3)_cols[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
category_encoders.target_encoder.TargetEncoder(3)_drop_invariantfalse
category_encoders.target_encoder.TargetEncoder(3)_handle_unknown"impute"
category_encoders.target_encoder.TargetEncoder(3)_impute_missingtrue
category_encoders.target_encoder.TargetEncoder(3)_min_samples_leaf1
category_encoders.target_encoder.TargetEncoder(3)_return_dftrue
category_encoders.target_encoder.TargetEncoder(3)_smoothing1.0
category_encoders.target_encoder.TargetEncoder(3)_verbose0
sklearn.naive_bayes.GaussianNB(12)_priorsnull
sklearn.naive_bayes.GaussianNB(12)_var_smoothing1e-09

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

0.762 ± 0.0362
Per class
Cross-validation details (10-fold Crossvalidation)
0.7213 ± 0.0507
Per class
Cross-validation details (10-fold Crossvalidation)
0.3114 ± 0.1273
Cross-validation details (10-fold Crossvalidation)
241.4501 ± 5.2615
Cross-validation details (10-fold Crossvalidation)
0.3112 ± 0.0181
Cross-validation details (10-fold Crossvalidation)
0.4202
Cross-validation details (10-fold Crossvalidation)
1000
Per class
Cross-validation details (10-fold Crossvalidation)
0.722 ± 0.0553
Per class
Cross-validation details (10-fold Crossvalidation)
0.74 ± 0.0432
Cross-validation details (10-fold Crossvalidation)
0.8818
Cross-validation details (10-fold Crossvalidation)
0.74 ± 0.0432
Per class
Cross-validation details (10-fold Crossvalidation)
0.7407 ± 0.043
Cross-validation details (10-fold Crossvalidation)
0.4583
Cross-validation details (10-fold Crossvalidation)
0.4283 ± 0.0223
Cross-validation details (10-fold Crossvalidation)
0.9347 ± 0.0486
Cross-validation details (10-fold Crossvalidation)