Run
10551136

Run 10551136

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 07-08-2020 by Heinrich Peters
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Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer, standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression =sklearn.linear_model.logistic.LogisticRegression)(2)Automatically created scikit-learn flow.
sklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(1)_copytrue
sklearn.impute._base.SimpleImputer(1)_fill_valuenull
sklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(1)_strategy"median"
sklearn.impute._base.SimpleImputer(1)_verbose0
sklearn.linear_model.logistic.LogisticRegression(26)_C10
sklearn.linear_model.logistic.LogisticRegression(26)_class_weightnull
sklearn.linear_model.logistic.LogisticRegression(26)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(26)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(26)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(26)_l1_rationull
sklearn.linear_model.logistic.LogisticRegression(26)_max_iter10000
sklearn.linear_model.logistic.LogisticRegression(26)_multi_class"warn"
sklearn.linear_model.logistic.LogisticRegression(26)_n_jobsnull
sklearn.linear_model.logistic.LogisticRegression(26)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(26)_random_state1
sklearn.linear_model.logistic.LogisticRegression(26)_solver"lbfgs"
sklearn.linear_model.logistic.LogisticRegression(26)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(26)_verbose0
sklearn.linear_model.logistic.LogisticRegression(26)_warm_startfalse
sklearn.preprocessing.data.StandardScaler(29)_copytrue
sklearn.preprocessing.data.StandardScaler(29)_with_meantrue
sklearn.preprocessing.data.StandardScaler(29)_with_stdtrue
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)_verbosefalse

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.

18 Evaluation measures

0.7516 ± 0.0483
Per class
Cross-validation details (10-fold Crossvalidation)
0.7074 ± 0.0388
Per class
Cross-validation details (10-fold Crossvalidation)
0.1291 ± 0.1123
Cross-validation details (10-fold Crossvalidation)
0.0981 ± 0.0619
Cross-validation details (10-fold Crossvalidation)
0.309 ± 0.0179
Cross-validation details (10-fold Crossvalidation)
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
0.7714 ± 0.0274
Cross-validation details (10-fold Crossvalidation)
748
Per class
Cross-validation details (10-fold Crossvalidation)
0.737 ± 0.0874
Per class
Cross-validation details (10-fold Crossvalidation)
0.7714 ± 0.0274
Cross-validation details (10-fold Crossvalidation)
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.8511 ± 0.0486
Cross-validation details (10-fold Crossvalidation)
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.3928 ± 0.0185
Cross-validation details (10-fold Crossvalidation)
0.9224 ± 0.0427
Cross-validation details (10-fold Crossvalidation)
0.5467 ± 0.0422
Cross-validation details (10-fold Crossvalidation)