Run
10154755

Run 10154755

Task 3890 (Supervised Classification) ada_prior Uploaded 11-02-2019 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)(1)Automatically created scikit-learn flow.
sklearn.impute.SimpleImputer(1)_copytrue
sklearn.impute.SimpleImputer(1)_fill_valuenull
sklearn.impute.SimpleImputer(1)_missing_valuesNaN
sklearn.impute.SimpleImputer(1)_strategy"mean"
sklearn.impute.SimpleImputer(1)_verbose0
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)(1)_memorynull
sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder)(1)_n_jobsnull
sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder)(1)_remainder"passthrough"
sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder)(1)_transformer_weightsnull
category_encoders.target_encoder.TargetEncoder(2)_cols[0, 1, 2, 3, 4, 5, 6, 7]
category_encoders.target_encoder.TargetEncoder(2)_drop_invariantfalse
category_encoders.target_encoder.TargetEncoder(2)_handle_unknown"impute"
category_encoders.target_encoder.TargetEncoder(2)_impute_missingtrue
category_encoders.target_encoder.TargetEncoder(2)_min_samples_leaf1
category_encoders.target_encoder.TargetEncoder(2)_return_dftrue
category_encoders.target_encoder.TargetEncoder(2)_smoothing1.0
category_encoders.target_encoder.TargetEncoder(2)_verbose0
sklearn.naive_bayes.GaussianNB(10)_priorsnull
sklearn.naive_bayes.GaussianNB(10)_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

0.8194 ± 0.0233
Per class
Cross-validation details (10-fold Crossvalidation)
0.7604 ± 0.0166
Per class
Cross-validation details (10-fold Crossvalidation)
0.314 ± 0.0482
Cross-validation details (10-fold Crossvalidation)
1680.0987 ± 18.322
Cross-validation details (10-fold Crossvalidation)
0.2122 ± 0.0132
Cross-validation details (10-fold Crossvalidation)
0.3732 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
4562
Per class
Cross-validation details (10-fold Crossvalidation)
0.7751 ± 0.0215
Per class
Cross-validation details (10-fold Crossvalidation)
0.792 ± 0.0138
Cross-validation details (10-fold Crossvalidation)
0.8085
Cross-validation details (10-fold Crossvalidation)
0.792 ± 0.0138
Per class
Cross-validation details (10-fold Crossvalidation)
0.5686 ± 0.0354
Cross-validation details (10-fold Crossvalidation)
0.4319 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.4446 ± 0.0162
Cross-validation details (10-fold Crossvalidation)
1.0294 ± 0.0373
Cross-validation details (10-fold Crossvalidation)