Run
10228268

Run 10228268

Task 23 (Supervised Classification) cmc 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.C37669a96aecc3b(n1=sklearn.compose._column_transformer.C37 669a96aebeef(n2=sklearn.preprocessing._function_transformer.C37669a96aeb290 ),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_state64841
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.C37669a96aecc3b(n1=sklearn.compose._column_transformer.C37669a96aebeef(n2=sklearn.preprocessing._function_transformer.C37669a96aeb290),c=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.C37669a96aecc3b(n1=sklearn.compose._column_transformer.C37669a96aebeef(n2=sklearn.preprocessing._function_transformer.C37669a96aeb290),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.C37669a96aebeef(n2=sklearn.preprocessing._function_transformer.C37669a96aeb290)(1)_n_jobsnull
sklearn.compose._column_transformer.C37669a96aebeef(n2=sklearn.preprocessing._function_transformer.C37669a96aeb290)(1)_remainder"drop"
sklearn.compose._column_transformer.C37669a96aebeef(n2=sklearn.preprocessing._function_transformer.C37669a96aeb290)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.C37669a96aebeef(n2=sklearn.preprocessing._function_transformer.C37669a96aeb290)(1)_transformer_weightsnull
sklearn.compose._column_transformer.C37669a96aebeef(n2=sklearn.preprocessing._function_transformer.C37669a96aeb290)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n2", "step_name": "n2", "argument_1": [1]}}]
sklearn.preprocessing._function_transformer.C37669a96aeb290(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.C37669a96aeb290(1)_check_inversetrue
sklearn.preprocessing._function_transformer.C37669a96aeb290(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.C37669a96aeb290(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.C37669a96aeb290(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.C37669a96aeb290(1)_kw_argsnull
sklearn.preprocessing._function_transformer.C37669a96aeb290(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.C37669a96aeb290(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
0.5876 ± 0.0253
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4333 ± 0.0299
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.162 ± 0.0437
Cross-validation details (10-fold Crossvalidation)
KB relative information score
49.9557 ± 0.687
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4378 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4574 ± 0.0324
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4352 ± 0.0299
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.4352 ± 0.0299
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0162 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4655 ± 0.0016
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.003 ± 0.0034
Cross-validation details (10-fold Crossvalidation)