Run
10304419

Run 10304419

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 01-08-2019 by Felix Neutatz
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • ComplexityDriven openml-python Sklearn_0.21.0.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.C37967ed77e90b1(n120=sklearn.compose._column_transformer.C 37967ed77e8d99(n121=sklearn.preprocessing._function_transformer.C58f0caf264 114),c=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(27)_C0.001
sklearn.linear_model.logistic.LogisticRegression(27)_class_weight"balanced"
sklearn.linear_model.logistic.LogisticRegression(27)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(27)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(27)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(27)_l1_rationull
sklearn.linear_model.logistic.LogisticRegression(27)_max_iter10000
sklearn.linear_model.logistic.LogisticRegression(27)_multi_class"auto"
sklearn.linear_model.logistic.LogisticRegression(27)_n_jobsnull
sklearn.linear_model.logistic.LogisticRegression(27)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(27)_random_state346
sklearn.linear_model.logistic.LogisticRegression(27)_solver"lbfgs"
sklearn.linear_model.logistic.LogisticRegression(27)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(27)_verbose0
sklearn.linear_model.logistic.LogisticRegression(27)_warm_startfalse
sklearn.pipeline.C37967ed77e90b1(n120=sklearn.compose._column_transformer.C37967ed77e8d99(n121=sklearn.preprocessing._function_transformer.C58f0caf264114),c=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.C37967ed77e90b1(n120=sklearn.compose._column_transformer.C37967ed77e8d99(n121=sklearn.preprocessing._function_transformer.C58f0caf264114),c=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "n120", "step_name": "n120"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "c", "step_name": "c"}}]
sklearn.pipeline.C37967ed77e90b1(n120=sklearn.compose._column_transformer.C37967ed77e8d99(n121=sklearn.preprocessing._function_transformer.C58f0caf264114),c=sklearn.linear_model.logistic.LogisticRegression)(1)_verbosefalse
sklearn.compose._column_transformer.C37967ed77e8d99(n121=sklearn.preprocessing._function_transformer.C58f0caf264114)(1)_n_jobsnull
sklearn.compose._column_transformer.C37967ed77e8d99(n121=sklearn.preprocessing._function_transformer.C58f0caf264114)(1)_remainder"drop"
sklearn.compose._column_transformer.C37967ed77e8d99(n121=sklearn.preprocessing._function_transformer.C58f0caf264114)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.C37967ed77e8d99(n121=sklearn.preprocessing._function_transformer.C58f0caf264114)(1)_transformer_weightsnull
sklearn.compose._column_transformer.C37967ed77e8d99(n121=sklearn.preprocessing._function_transformer.C58f0caf264114)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n121", "step_name": "n121", "argument_1": [0]}}]
sklearn.compose._column_transformer.C37967ed77e8d99(n121=sklearn.preprocessing._function_transformer.C58f0caf264114)(1)_verbosefalse
sklearn.preprocessing._function_transformer.C58f0caf264114(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.C58f0caf264114(1)_check_inversetrue
sklearn.preprocessing._function_transformer.C58f0caf264114(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.C58f0caf264114(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.C58f0caf264114(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.C58f0caf264114(1)_kw_argsnull
sklearn.preprocessing._function_transformer.C58f0caf264114(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.C58f0caf264114(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

0.6911 ± 0.0442
Per class
Cross-validation details (10-fold Crossvalidation)
0.657 ± 0.0432
Per class
Cross-validation details (10-fold Crossvalidation)
0.2604 ± 0.0736
Cross-validation details (10-fold Crossvalidation)
-0.4127 ± 0.0491
Cross-validation details (10-fold Crossvalidation)
0.439 ± 0.012
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)
0.7679 ± 0.0352
Per class
Cross-validation details (10-fold Crossvalidation)
0.6297 ± 0.0451
Cross-validation details (10-fold Crossvalidation)
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.6297 ± 0.0451
Per class
Cross-validation details (10-fold Crossvalidation)
1.2091 ± 0.0332
Cross-validation details (10-fold Crossvalidation)
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.4685 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
1.1003 ± 0.0269
Cross-validation details (10-fold Crossvalidation)