Run
10228259

Run 10228259

Task 29 (Supervised Classification) credit-approval Uploaded 01-06-2019 by Felix Neutatz
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  • ComplexityDriven openml-python Sklearn_0.20.3.
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Flow

sklearn.pipeline.C37667dd061f316(n1=sklearn.compose._column_transformer.C37 667dd061edcc(n2=sklearn.preprocessing._function_transformer.C37667dd061e8d5 ),c=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_state200
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.C37667dd061f316(n1=sklearn.compose._column_transformer.C37667dd061edcc(n2=sklearn.preprocessing._function_transformer.C37667dd061e8d5),c=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.C37667dd061f316(n1=sklearn.compose._column_transformer.C37667dd061edcc(n2=sklearn.preprocessing._function_transformer.C37667dd061e8d5),c=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "n1", "step_name": "n1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "c", "step_name": "c"}}]
sklearn.compose._column_transformer.C37667dd061edcc(n2=sklearn.preprocessing._function_transformer.C37667dd061e8d5)(1)_n_jobsnull
sklearn.compose._column_transformer.C37667dd061edcc(n2=sklearn.preprocessing._function_transformer.C37667dd061e8d5)(1)_remainder"drop"
sklearn.compose._column_transformer.C37667dd061edcc(n2=sklearn.preprocessing._function_transformer.C37667dd061e8d5)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.C37667dd061edcc(n2=sklearn.preprocessing._function_transformer.C37667dd061e8d5)(1)_transformer_weightsnull
sklearn.compose._column_transformer.C37667dd061edcc(n2=sklearn.preprocessing._function_transformer.C37667dd061e8d5)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n2", "step_name": "n2", "argument_1": [8]}}]
sklearn.preprocessing._function_transformer.C37667dd061e8d5(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.C37667dd061e8d5(1)_check_inversetrue
sklearn.preprocessing._function_transformer.C37667dd061e8d5(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.C37667dd061e8d5(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.C37667dd061e8d5(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.C37667dd061e8d5(1)_kw_argsnull
sklearn.preprocessing._function_transformer.C37667dd061e8d5(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.C37667dd061e8d5(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.

17 Evaluation measures

Area under ROC curve
0.8409 ± 0.0369
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8554 ± 0.0383
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7116 ± 0.0746
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6.8986 ± 0.2234
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4902 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8663 ± 0.0345
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8551 ± 0.038
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8551 ± 0.038
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9924 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4903 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9866 ± 0.0022
Cross-validation details (10-fold Crossvalidation)