Run
10230134

Run 10230134

Task 31 (Supervised Classification) credit-g Uploaded 16-07-2019 by Felix Neutatz
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  • ComplexityDriven openml-python Sklearn_0.20.3.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.C3789d394dc320a(n3=sklearn.compose._column_transformer.C37 89d394dc299a(n4=sklearn.preprocessing._function_transformer.C3789d394dc2799 ),n5=fastsklearnfeature.transformations.OneDivisionTransformation.C3789d394 dc2cf2,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_state28180
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.C3789d394dc320a(n3=sklearn.compose._column_transformer.C3789d394dc299a(n4=sklearn.preprocessing._function_transformer.C3789d394dc2799),n5=fastsklearnfeature.transformations.OneDivisionTransformation.C3789d394dc2cf2,c=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.C3789d394dc320a(n3=sklearn.compose._column_transformer.C3789d394dc299a(n4=sklearn.preprocessing._function_transformer.C3789d394dc2799),n5=fastsklearnfeature.transformations.OneDivisionTransformation.C3789d394dc2cf2,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.C3789d394dc299a(n4=sklearn.preprocessing._function_transformer.C3789d394dc2799)(1)_n_jobsnull
sklearn.compose._column_transformer.C3789d394dc299a(n4=sklearn.preprocessing._function_transformer.C3789d394dc2799)(1)_remainder"drop"
sklearn.compose._column_transformer.C3789d394dc299a(n4=sklearn.preprocessing._function_transformer.C3789d394dc2799)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.C3789d394dc299a(n4=sklearn.preprocessing._function_transformer.C3789d394dc2799)(1)_transformer_weightsnull
sklearn.compose._column_transformer.C3789d394dc299a(n4=sklearn.preprocessing._function_transformer.C3789d394dc2799)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n4", "step_name": "n4", "argument_1": [12]}}]
sklearn.preprocessing._function_transformer.C3789d394dc2799(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.C3789d394dc2799(1)_check_inversetrue
sklearn.preprocessing._function_transformer.C3789d394dc2799(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.C3789d394dc2799(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.C3789d394dc2799(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.C3789d394dc2799(1)_kw_argsnull
sklearn.preprocessing._function_transformer.C3789d394dc2799(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.C3789d394dc2799(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
0.5584 ± 0.0786
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.3336 ± 0
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5 ± 0
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Recall
0.3
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.19 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5 ± 0
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0911 ± 0
Cross-validation details (10-fold Crossvalidation)