Run
10228285

Run 10228285

Task 3562 (Supervised Classification) lupus Uploaded 01-06-2019 by Felix Neutatz
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  • ComplexityDriven openml-python Sklearn_0.20.3.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.C3766af8b854a5a(n3=sklearn.compose._column_transformer.C8d d3acea4ae7(n4=sklearn.preprocessing._function_transformer.C3766af8b853f34), n5=fastsklearnfeature.transformations.OneDivisionTransformation.C3766af8b85 4699,c=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(23)_C1000
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_state52236
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.C3766af8b854a5a(n3=sklearn.compose._column_transformer.C8dd3acea4ae7(n4=sklearn.preprocessing._function_transformer.C3766af8b853f34),n5=fastsklearnfeature.transformations.OneDivisionTransformation.C3766af8b854699,c=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.C3766af8b854a5a(n3=sklearn.compose._column_transformer.C8dd3acea4ae7(n4=sklearn.preprocessing._function_transformer.C3766af8b853f34),n5=fastsklearnfeature.transformations.OneDivisionTransformation.C3766af8b854699,c=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "n3", "step_name": "n3"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "n5", "step_name": "n5"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "c", "step_name": "c"}}]
sklearn.compose._column_transformer.C8dd3acea4ae7(n4=sklearn.preprocessing._function_transformer.C3766af8b853f34)(1)_n_jobsnull
sklearn.compose._column_transformer.C8dd3acea4ae7(n4=sklearn.preprocessing._function_transformer.C3766af8b853f34)(1)_remainder"drop"
sklearn.compose._column_transformer.C8dd3acea4ae7(n4=sklearn.preprocessing._function_transformer.C3766af8b853f34)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.C8dd3acea4ae7(n4=sklearn.preprocessing._function_transformer.C3766af8b853f34)(1)_transformer_weightsnull
sklearn.compose._column_transformer.C8dd3acea4ae7(n4=sklearn.preprocessing._function_transformer.C3766af8b853f34)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n4", "step_name": "n4", "argument_1": [0]}}]
sklearn.preprocessing._function_transformer.C3766af8b853f34(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.C3766af8b853f34(1)_check_inversetrue
sklearn.preprocessing._function_transformer.C3766af8b853f34(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.C3766af8b853f34(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.C3766af8b853f34(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.C3766af8b853f34(1)_kw_argsnull
sklearn.preprocessing._function_transformer.C3766af8b853f34(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.C3766af8b853f34(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
0.8401 ± 0.1355
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.755 ± 0.1306
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4885 ± 0.2639
Cross-validation details (10-fold Crossvalidation)
KB relative information score
16.4465 ± 0.8418
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4051 ± 0.0338
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4813 ± 0.0091
Cross-validation details (10-fold Crossvalidation)
Number of instances
87
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7886 ± 0.1374
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7701 ± 0.1209
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9735
Cross-validation details (10-fold Crossvalidation)
Recall
0.7701 ± 0.1209
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8415 ± 0.0742
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4904 ± 0.0094
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4288 ± 0.0345
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8744 ± 0.0728
Cross-validation details (10-fold Crossvalidation)