Run
10154826

Run 10154826

Task 3 (Supervised Classification) kr-vs-kp 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": []}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat_encoder", "step_name": "cat_encoder", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]}}]
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, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]
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

0.9158 ± 0.0207
Per class
Cross-validation details (10-fold Crossvalidation)
0.5875 ± 0.0203
Per class
Cross-validation details (10-fold Crossvalidation)
0.2575 ± 0.0303
Cross-validation details (10-fold Crossvalidation)
904.5646 ± 8.4399
Cross-validation details (10-fold Crossvalidation)
0.3571 ± 0.0131
Cross-validation details (10-fold Crossvalidation)
0.499 ± 0
Cross-validation details (10-fold Crossvalidation)
3196
Per class
Cross-validation details (10-fold Crossvalidation)
0.7459 ± 0.0232
Per class
Cross-validation details (10-fold Crossvalidation)
0.6405 ± 0.0144
Cross-validation details (10-fold Crossvalidation)
0.9986
Cross-validation details (10-fold Crossvalidation)
0.6405 ± 0.0144
Per class
Cross-validation details (10-fold Crossvalidation)
0.7155 ± 0.0263
Cross-validation details (10-fold Crossvalidation)
0.4995 ± 0
Cross-validation details (10-fold Crossvalidation)
0.5927 ± 0.0106
Cross-validation details (10-fold Crossvalidation)
1.1866 ± 0.0212
Cross-validation details (10-fold Crossvalidation)