Run
10228509

Run 10228509

Task 29 (Supervised Classification) credit-approval Uploaded 16-06-2019 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.C3771e868c1cb6c(n3=sklearn.compose._column_transformer.C37 71e868c1bc75(n4=sklearn.preprocessing._function_transformer.C3771e868c19ba3 ),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_state37181
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.C3771e868c1cb6c(n3=sklearn.compose._column_transformer.C3771e868c1bc75(n4=sklearn.preprocessing._function_transformer.C3771e868c19ba3),c=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.C3771e868c1cb6c(n3=sklearn.compose._column_transformer.C3771e868c1bc75(n4=sklearn.preprocessing._function_transformer.C3771e868c19ba3),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": "c", "step_name": "c"}}]
sklearn.compose._column_transformer.C3771e868c1bc75(n4=sklearn.preprocessing._function_transformer.C3771e868c19ba3)(1)_n_jobsnull
sklearn.compose._column_transformer.C3771e868c1bc75(n4=sklearn.preprocessing._function_transformer.C3771e868c19ba3)(1)_remainder"drop"
sklearn.compose._column_transformer.C3771e868c1bc75(n4=sklearn.preprocessing._function_transformer.C3771e868c19ba3)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.C3771e868c1bc75(n4=sklearn.preprocessing._function_transformer.C3771e868c19ba3)(1)_transformer_weightsnull
sklearn.compose._column_transformer.C3771e868c1bc75(n4=sklearn.preprocessing._function_transformer.C3771e868c19ba3)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n4", "step_name": "n4", "argument_1": [8]}}]
sklearn.preprocessing._function_transformer.C3771e868c19ba3(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.C3771e868c19ba3(1)_check_inversetrue
sklearn.preprocessing._function_transformer.C3771e868c19ba3(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.C3771e868c19ba3(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.C3771e868c19ba3(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.C3771e868c19ba3(1)_kw_argsnull
sklearn.preprocessing._function_transformer.C3771e868c19ba3(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.C3771e868c19ba3(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
0.01 ± 0.0032
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
0.9912 ± 0.0022
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)