Run
9404274

Run 9404274

Task 34539 (Supervised Classification) Amazon_employee_access Uploaded 10-10-2018 by Jan van Rijn
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Flow

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transfo rmer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=s klearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imp uter,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=skle arn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotenco der=sklearn.preprocessing._encoders.OneHotEncoder)),extratreesclassifier=sk learn.ensemble.forest.ExtraTreesClassifier)(1)Automatically created scikit-learn flow.
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,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(missingindicator=sklearn.impute.MissingIndicator,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(missingindicator=sklearn.impute.MissingIndicator,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(missingindicator=sklearn.impute.MissingIndicator,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(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler)(1)_memorynull
sklearn.impute.MissingIndicator(1)_error_on_newfalse
sklearn.impute.MissingIndicator(1)_features"missing-only"
sklearn.impute.MissingIndicator(1)_missing_valuesNaN
sklearn.impute.MissingIndicator(1)_sparse"auto"
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"most_frequent"
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.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier)(1)_memorynull
sklearn.ensemble.forest.ExtraTreesClassifier(10)_bootstraptrue
sklearn.ensemble.forest.ExtraTreesClassifier(10)_class_weightnull
sklearn.ensemble.forest.ExtraTreesClassifier(10)_criterion"entropy"
sklearn.ensemble.forest.ExtraTreesClassifier(10)_max_depthnull
sklearn.ensemble.forest.ExtraTreesClassifier(10)_max_features0.9873562509166791
sklearn.ensemble.forest.ExtraTreesClassifier(10)_max_leaf_nodesnull
sklearn.ensemble.forest.ExtraTreesClassifier(10)_min_impurity_decrease0.0
sklearn.ensemble.forest.ExtraTreesClassifier(10)_min_impurity_splitnull
sklearn.ensemble.forest.ExtraTreesClassifier(10)_min_samples_leaf2
sklearn.ensemble.forest.ExtraTreesClassifier(10)_min_samples_split4
sklearn.ensemble.forest.ExtraTreesClassifier(10)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.ExtraTreesClassifier(10)_n_estimators100
sklearn.ensemble.forest.ExtraTreesClassifier(10)_n_jobsnull
sklearn.ensemble.forest.ExtraTreesClassifier(10)_oob_scorefalse
sklearn.ensemble.forest.ExtraTreesClassifier(10)_random_state21127
sklearn.ensemble.forest.ExtraTreesClassifier(10)_verbose0
sklearn.ensemble.forest.ExtraTreesClassifier(10)_warm_startfalse

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

0.8647 ± 0.0153
Per class
Cross-validation details (10-fold Crossvalidation)
0.9465 ± 0.0032
Per class
Cross-validation details (10-fold Crossvalidation)
0.4606 ± 0.0341
Cross-validation details (10-fold Crossvalidation)
-1119.4262 ± 123.4767
Cross-validation details (10-fold Crossvalidation)
0.0675 ± 0.002
Cross-validation details (10-fold Crossvalidation)
0.1091 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
32769
Per class
Cross-validation details (10-fold Crossvalidation)
0.9448 ± 0.0036
Per class
Cross-validation details (10-fold Crossvalidation)
0.9521 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.3191
Cross-validation details (10-fold Crossvalidation)
0.9521 ± 0.0027
Per class
Cross-validation details (10-fold Crossvalidation)
0.6189 ± 0.018
Cross-validation details (10-fold Crossvalidation)
0.2335 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.1947 ± 0.005
Cross-validation details (10-fold Crossvalidation)
0.8335 ± 0.0212
Cross-validation details (10-fold Crossvalidation)