Run
10228409

Run 10228409

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 05-06-2019 by Felix Neutatz
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  • ComplexityDriven openml-python Sklearn_0.20.3.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.C58a8ce3a9559a(n3=sklearn.compose._column_transformer.C8dd ae390ee8d(n4=sklearn.preprocessing._function_transformer.C376980e49d24a0),n 5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTra nsformation.C376980e49d4611,c=sklearn.linear_model.logistic.LogisticRegress ion)(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_state17822
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.C58a8ce3a9559a(n3=sklearn.compose._column_transformer.C8ddae390ee8d(n4=sklearn.preprocessing._function_transformer.C376980e49d24a0),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C376980e49d4611,c=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.C58a8ce3a9559a(n3=sklearn.compose._column_transformer.C8ddae390ee8d(n4=sklearn.preprocessing._function_transformer.C376980e49d24a0),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C376980e49d4611,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.C8ddae390ee8d(n4=sklearn.preprocessing._function_transformer.C376980e49d24a0)(1)_n_jobsnull
sklearn.compose._column_transformer.C8ddae390ee8d(n4=sklearn.preprocessing._function_transformer.C376980e49d24a0)(1)_remainder"drop"
sklearn.compose._column_transformer.C8ddae390ee8d(n4=sklearn.preprocessing._function_transformer.C376980e49d24a0)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.C8ddae390ee8d(n4=sklearn.preprocessing._function_transformer.C376980e49d24a0)(1)_transformer_weightsnull
sklearn.compose._column_transformer.C8ddae390ee8d(n4=sklearn.preprocessing._function_transformer.C376980e49d24a0)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n4", "step_name": "n4", "argument_1": [3]}}]
sklearn.preprocessing._function_transformer.C376980e49d24a0(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.C376980e49d24a0(1)_check_inversetrue
sklearn.preprocessing._function_transformer.C376980e49d24a0(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.C376980e49d24a0(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.C376980e49d24a0(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.C376980e49d24a0(1)_kw_argsnull
sklearn.preprocessing._function_transformer.C376980e49d24a0(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.C376980e49d24a0(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

0.5
Per class
Cross-validation details (10-fold Crossvalidation)
-0.7063 ± 0.0184
Cross-validation details (10-fold Crossvalidation)
0.5
Cross-validation details (10-fold Crossvalidation)
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
748
Per class
Cross-validation details (10-fold Crossvalidation)
0.762 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.762 ± 0.0043
Per class
Cross-validation details (10-fold Crossvalidation)
1.3772 ± 0.0087
Cross-validation details (10-fold Crossvalidation)
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.5
Cross-validation details (10-fold Crossvalidation)
1.1742 ± 0.0074
Cross-validation details (10-fold Crossvalidation)