Run
10387332

Run 10387332

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 26-08-2019 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.C37aa0b17c7b040(n73=sklearn.compose._column_transformer.C3 7aa0b17c7aa33(n74=sklearn.preprocessing._function_transformer.C37aa0b17c7a7 44),c=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(28)_C0.001
sklearn.linear_model.logistic.LogisticRegression(28)_class_weight"balanced"
sklearn.linear_model.logistic.LogisticRegression(28)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(28)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(28)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(28)_max_iter10000
sklearn.linear_model.logistic.LogisticRegression(28)_multi_class"auto"
sklearn.linear_model.logistic.LogisticRegression(28)_n_jobsnull
sklearn.linear_model.logistic.LogisticRegression(28)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(28)_random_state33642
sklearn.linear_model.logistic.LogisticRegression(28)_solver"lbfgs"
sklearn.linear_model.logistic.LogisticRegression(28)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(28)_verbose0
sklearn.linear_model.logistic.LogisticRegression(28)_warm_startfalse
sklearn.pipeline.C37aa0b17c7b040(n73=sklearn.compose._column_transformer.C37aa0b17c7aa33(n74=sklearn.preprocessing._function_transformer.C37aa0b17c7a744),c=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.C37aa0b17c7b040(n73=sklearn.compose._column_transformer.C37aa0b17c7aa33(n74=sklearn.preprocessing._function_transformer.C37aa0b17c7a744),c=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "n73", "step_name": "n73"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "c", "step_name": "c"}}]
sklearn.compose._column_transformer.C37aa0b17c7aa33(n74=sklearn.preprocessing._function_transformer.C37aa0b17c7a744)(1)_n_jobsnull
sklearn.compose._column_transformer.C37aa0b17c7aa33(n74=sklearn.preprocessing._function_transformer.C37aa0b17c7a744)(1)_remainder"drop"
sklearn.compose._column_transformer.C37aa0b17c7aa33(n74=sklearn.preprocessing._function_transformer.C37aa0b17c7a744)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.C37aa0b17c7aa33(n74=sklearn.preprocessing._function_transformer.C37aa0b17c7a744)(1)_transformer_weightsnull
sklearn.compose._column_transformer.C37aa0b17c7aa33(n74=sklearn.preprocessing._function_transformer.C37aa0b17c7a744)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n74", "step_name": "n74", "argument_1": [0]}}]
sklearn.preprocessing._function_transformer.C37aa0b17c7a744(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.C37aa0b17c7a744(1)_check_inversetrue
sklearn.preprocessing._function_transformer.C37aa0b17c7a744(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.C37aa0b17c7a744(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.C37aa0b17c7a744(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.C37aa0b17c7a744(1)_kw_argsnull
sklearn.preprocessing._function_transformer.C37aa0b17c7a744(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.C37aa0b17c7a744(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
0.6911 ± 0.0442
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.657 ± 0.0432
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2604 ± 0.0736
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.4127 ± 0.0491
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.439 ± 0.012
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7679 ± 0.0352
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6297 ± 0.0451
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Recall
0.6297 ± 0.0451
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2091 ± 0.0332
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4685 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1003 ± 0.0269
Cross-validation details (10-fold Crossvalidation)