Run
10549269

Run 10549269

Task 146819 (Supervised Classification) climate-model-simulation-crashes 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)_C0.165918932915
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_iter57
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

0.9507 ± 0.0677
Per class
Cross-validation details (10-fold Crossvalidation)
0.9413 ± 0.0285
Per class
Cross-validation details (10-fold Crossvalidation)
0.5743 ± 0.1941
Cross-validation details (10-fold Crossvalidation)
-0.2254 ± 0.3433
Cross-validation details (10-fold Crossvalidation)
0.1291 ± 0.0178
Cross-validation details (10-fold Crossvalidation)
0.1571 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
0.95 ± 0.0196
Cross-validation details (10-fold Crossvalidation)
540
Per class
Cross-validation details (10-fold Crossvalidation)
0.9501 ± 0.0175
Per class
Cross-validation details (10-fold Crossvalidation)
0.95 ± 0.0196
Cross-validation details (10-fold Crossvalidation)
0.4202 ± 0.0325
Cross-validation details (10-fold Crossvalidation)
0.8219 ± 0.1333
Cross-validation details (10-fold Crossvalidation)
0.2792 ± 0.0143
Cross-validation details (10-fold Crossvalidation)
0.2116 ± 0.0233
Cross-validation details (10-fold Crossvalidation)
0.7578 ± 0.0981
Cross-validation details (10-fold Crossvalidation)
0.7164 ± 0.1055
Cross-validation details (10-fold Crossvalidation)