Run
9903905

Run 9903905

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 08-12-2018 by Jan van Rijn
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Flow

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transfo rmer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.pr eprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.St andardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.imput e.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder )),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceT hreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.Grad ientBoostingClassifier)(2)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(29)_axis0
sklearn.preprocessing.imputation.Imputer(29)_copytrue
sklearn.preprocessing.imputation.Imputer(29)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(29)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(29)_verbose0
sklearn.preprocessing.data.StandardScaler(14)_copytrue
sklearn.preprocessing.data.StandardScaler(14)_with_meantrue
sklearn.preprocessing.data.StandardScaler(14)_with_stdtrue
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)(1)_memorynull
sklearn.impute.SimpleImputer(1)_copytrue
sklearn.impute.SimpleImputer(1)_fill_value-1
sklearn.impute.SimpleImputer(1)_missing_valuesNaN
sklearn.impute.SimpleImputer(1)_strategy"constant"
sklearn.impute.SimpleImputer(1)_verbose0
sklearn.preprocessing._encoders.OneHotEncoder(3)_categorical_featuresnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_categoriesnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing._encoders.OneHotEncoder(3)_handle_unknown"ignore"
sklearn.preprocessing._encoders.OneHotEncoder(3)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_sparsetrue
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_criterion"mae"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_learning_rate0.06812929912788639
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_max_depth8
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_max_features0.012807452842424905
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_impurity_decrease0.34814217735288877
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_impurity_splitnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_samples_leaf8
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_samples_split14
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_weight_fraction_leaf0.22956660762267467
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_n_estimators468
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_n_iter_no_change671
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_random_state35662
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_subsample0.3051045976487987
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_tol0.009025374853762312
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_validation_fraction0.2705642870155792
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_warm_startfalse
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(1)_n_jobsnull
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(1)_remainder"passthrough"
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(1)_sparse_threshold0.3
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(1)_transformer_weightsnull
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler)(1)_memorynull
sklearn.feature_selection.variance_threshold.VarianceThreshold(18)_threshold0.0
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(2)_memorynull

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.

15 Evaluation measures

0.5009
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.5
-186.4398 ± 30.6562
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore0-60-50-40-30-20-1001020
0.115 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.11350.1140.11450.1150.11550.1160.…0.1165
0.1156 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.11510.11520.11530.11540.11550.11560.11570.11580.1159
14395
Per class
Cross-validation details (10-fold Crossvalidation)
0.9385 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.93810.93820.93830.93840.93850.93860.93870.93880.9389
0.3338
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.3338
0.9385 ± 0.0003
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.93810.93820.93830.93840.93850.93860.93870.93880.9389
0.9952 ± 0.0094
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.980.9850.990.99511.0051.01
0.2403 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.23950.239750.240.240250.24050.240750.241
0.2403 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.23950.239750.240.240250.24050.240750.241
1 ± 0
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore01
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