Run
10228238

Run 10228238

Task 2079 (Supervised Classification) eucalyptus Uploaded 31-05-2019 by Felix Neutatz
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  • ComplexityDriven openml-python Sklearn_0.20.3.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline155932339780246 04(n1=sklearn.compose._column_transformer.ColumnTransformer1559323397802272 (n2=sklearn.preprocessing._function_transformer.FunctionTransformer15593233 978021436)),classifier=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(23)_C0.001
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_state4650
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.Pipeline15593233978024604(n1=sklearn.compose._column_transformer.ColumnTransformer1559323397802272(n2=sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436)),classifier=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline15593233978024604(n1=sklearn.compose._column_transformer.ColumnTransformer1559323397802272(n2=sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436)),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.Pipeline15593233978024604(n1=sklearn.compose._column_transformer.ColumnTransformer1559323397802272(n2=sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436))(1)_memorynull
sklearn.pipeline.Pipeline15593233978024604(n1=sklearn.compose._column_transformer.ColumnTransformer1559323397802272(n2=sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436))(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "n1", "step_name": "n1"}}]
sklearn.compose._column_transformer.ColumnTransformer1559323397802272(n2=sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436)(1)_n_jobsnull
sklearn.compose._column_transformer.ColumnTransformer1559323397802272(n2=sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436)(1)_remainder"drop"
sklearn.compose._column_transformer.ColumnTransformer1559323397802272(n2=sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.ColumnTransformer1559323397802272(n2=sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436)(1)_transformer_weightsnull
sklearn.compose._column_transformer.ColumnTransformer1559323397802272(n2=sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n2", "step_name": "n2", "argument_1": [6]}}]
sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436(1)_check_inversetrue
sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436(1)_kw_argsnull
sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.FunctionTransformer15593233978021436(1)_validatefalse

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

Area under ROC curve
0.5692 ± 0.0368
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0487 ± 0.0755
Cross-validation details (10-fold Crossvalidation)
KB relative information score
38.2445 ± 0.9448
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3182 ± 0.0029
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)
Predictive accuracy
0.3084 ± 0.0301
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.3084 ± 0.0301
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0157 ± 0.0094
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
0.3986 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0074 ± 0.0058
Cross-validation details (10-fold Crossvalidation)