Run
10551173

Run 10551173

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 07-08-2020 by Heinrich Peters
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_C0.01
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_iter100
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"liblinear"
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

0.7519 ± 0.0439
Per class
Cross-validation details (10-fold Crossvalidation)
0.7076 ± 0.0405
Per class
Cross-validation details (10-fold Crossvalidation)
0.1309 ± 0.118
Cross-validation details (10-fold Crossvalidation)
-0.1779 ± 0.0477
Cross-validation details (10-fold Crossvalidation)
0.3864 ± 0.0114
Cross-validation details (10-fold Crossvalidation)
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
0.7767 ± 0.0273
Cross-validation details (10-fold Crossvalidation)
748
Per class
Cross-validation details (10-fold Crossvalidation)
0.7614 ± 0.0984
Per class
Cross-validation details (10-fold Crossvalidation)
0.7767 ± 0.0273
Cross-validation details (10-fold Crossvalidation)
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
1.0644 ± 0.031
Cross-validation details (10-fold Crossvalidation)
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.4139 ± 0.0113
Cross-validation details (10-fold Crossvalidation)
0.9719 ± 0.0263
Cross-validation details (10-fold Crossvalidation)
0.5464 ± 0.0439
Cross-validation details (10-fold Crossvalidation)