Run
10228239

Run 10228239

Task 2079 (Supervised Classification) eucalyptus Uploaded 31-05-2019 by Felix Neutatz
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • ComplexityDriven openml-python Sklearn_0.20.3.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline155932341631287 84(n3=sklearn.pipeline.FeatureUnion15593234163124254(n4=sklearn.pipeline.Pi peline15593234163121681(n5=sklearn.compose._column_transformer.ColumnTransf ormer15593234163119447(n6=sklearn.preprocessing._function_transformer.Funct ionTransformer15593234163117785))),n7=fastsklearnfeature.transformations.Pa ndasDiscretizerTransformation.PandasDiscretizerTransformation15593234163127 515),classifier=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(23)_C0.01
sklearn.linear_model.logistic.LogisticRegression(23)_class_weight"balanced"
sklearn.linear_model.logistic.LogisticRegression(23)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(23)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(23)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(23)_max_iter10000
sklearn.linear_model.logistic.LogisticRegression(23)_multi_class"auto"
sklearn.linear_model.logistic.LogisticRegression(23)_n_jobsnull
sklearn.linear_model.logistic.LogisticRegression(23)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(23)_random_state25455
sklearn.linear_model.logistic.LogisticRegression(23)_solver"lbfgs"
sklearn.linear_model.logistic.LogisticRegression(23)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(23)_verbose0
sklearn.linear_model.logistic.LogisticRegression(23)_warm_startfalse
sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline15593234163128784(n3=sklearn.pipeline.FeatureUnion15593234163124254(n4=sklearn.pipeline.Pipeline15593234163121681(n5=sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785))),n7=fastsklearnfeature.transformations.PandasDiscretizerTransformation.PandasDiscretizerTransformation15593234163127515),classifier=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline15593234163128784(n3=sklearn.pipeline.FeatureUnion15593234163124254(n4=sklearn.pipeline.Pipeline15593234163121681(n5=sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785))),n7=fastsklearnfeature.transformations.PandasDiscretizerTransformation.PandasDiscretizerTransformation15593234163127515),classifier=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "features", "step_name": "features"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]
sklearn.pipeline.Pipeline15593234163128784(n3=sklearn.pipeline.FeatureUnion15593234163124254(n4=sklearn.pipeline.Pipeline15593234163121681(n5=sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785))),n7=fastsklearnfeature.transformations.PandasDiscretizerTransformation.PandasDiscretizerTransformation15593234163127515)(1)_memorynull
sklearn.pipeline.Pipeline15593234163128784(n3=sklearn.pipeline.FeatureUnion15593234163124254(n4=sklearn.pipeline.Pipeline15593234163121681(n5=sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785))),n7=fastsklearnfeature.transformations.PandasDiscretizerTransformation.PandasDiscretizerTransformation15593234163127515)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "n3", "step_name": "n3"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "n7", "step_name": "n7"}}]
sklearn.pipeline.FeatureUnion15593234163124254(n4=sklearn.pipeline.Pipeline15593234163121681(n5=sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785)))(1)_n_jobsnull
sklearn.pipeline.FeatureUnion15593234163124254(n4=sklearn.pipeline.Pipeline15593234163121681(n5=sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785)))(1)_transformer_list[{"oml-python:serialized_object": "component_reference", "value": {"key": "n4", "step_name": "n4"}}]
sklearn.pipeline.FeatureUnion15593234163124254(n4=sklearn.pipeline.Pipeline15593234163121681(n5=sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785)))(1)_transformer_weightsnull
sklearn.pipeline.Pipeline15593234163121681(n5=sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785))(1)_memorynull
sklearn.pipeline.Pipeline15593234163121681(n5=sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785))(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "n5", "step_name": "n5"}}]
sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785)(1)_n_jobsnull
sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785)(1)_remainder"drop"
sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785)(1)_transformer_weightsnull
sklearn.compose._column_transformer.ColumnTransformer15593234163119447(n6=sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n6", "step_name": "n6", "argument_1": [14]}}]
sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785(1)_check_inversetrue
sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785(1)_kw_argsnull
sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.FunctionTransformer15593234163117785(1)_validatefalse
fastsklearnfeature.transformations.PandasDiscretizerTransformation.PandasDiscretizerTransformation15593234163127515(1)_number_bins10
fastsklearnfeature.transformations.PandasDiscretizerTransformation.PandasDiscretizerTransformation15593234163127515(1)_qbucketfalse

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

Area under ROC curve
0.842 ± 0.029
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5359 ± 0.0687
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4342 ± 0.0781
Cross-validation details (10-fold Crossvalidation)
KB relative information score
237.9409 ± 1.3898
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2509 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6057 ± 0.0779
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5408 ± 0.0649
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5408 ± 0.0649
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.801 ± 0.0171
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3422 ± 0.0057
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8648 ± 0.0147
Cross-validation details (10-fold Crossvalidation)