Run
10439723

Run 10439723

Task 15 (Supervised Classification) breast-w Uploaded 06-04-2020 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,randomforestclassi fier=sklearn.ensemble.forest.RandomForestClassifier)(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.preprocessing.data.StandardScaler(29)_copytrue
sklearn.preprocessing.data.StandardScaler(29)_with_meantrue
sklearn.preprocessing.data.StandardScaler(29)_with_stdtrue
sklearn.ensemble.forest.RandomForestClassifier(63)_bootstrapfalse
sklearn.ensemble.forest.RandomForestClassifier(63)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(63)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(63)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(63)_max_features0.12470164461116645
sklearn.ensemble.forest.RandomForestClassifier(63)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(63)_min_impurity_decrease1e-07
sklearn.ensemble.forest.RandomForestClassifier(63)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(63)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(63)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(63)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(63)_n_estimators100
sklearn.ensemble.forest.RandomForestClassifier(63)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(63)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(63)_random_state1
sklearn.ensemble.forest.RandomForestClassifier(63)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(63)_warm_startfalse
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(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": "randomforestclassifier", "step_name": "randomforestclassifier"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(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

0.9902 ± 0.0097
Per class
Cross-validation details (10-fold Crossvalidation)
0.9701 ± 0.0218
Per class
Cross-validation details (10-fold Crossvalidation)
0.9341 ± 0.0484
Cross-validation details (10-fold Crossvalidation)
0.8805 ± 0.0339
Cross-validation details (10-fold Crossvalidation)
0.0583 ± 0.0142
Cross-validation details (10-fold Crossvalidation)
0.4519 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
0.97 ± 0.0218
Cross-validation details (10-fold Crossvalidation)
699
Per class
Cross-validation details (10-fold Crossvalidation)
0.9706 ± 0.0219
Per class
Cross-validation details (10-fold Crossvalidation)
0.97 ± 0.0218
Cross-validation details (10-fold Crossvalidation)
0.9293 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
0.1291 ± 0.0313
Cross-validation details (10-fold Crossvalidation)
0.4753 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
0.1617 ± 0.0357
Cross-validation details (10-fold Crossvalidation)
0.3403 ± 0.075
Cross-validation details (10-fold Crossvalidation)
0.9712 ± 0.0257
Cross-validation details (10-fold Crossvalidation)