Run
10450698

Run 10450698

Task 14969 (Supervised Classification) GesturePhaseSegmentationProcessed Uploaded 08-04-2020 by Heinrich Peters
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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_features0.14611913016129585
sklearn.ensemble.forest.RandomForestClassifier(63)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(63)_min_impurity_decrease0
sklearn.ensemble.forest.RandomForestClassifier(63)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(63)_min_samples_leaf2
sklearn.ensemble.forest.RandomForestClassifier(63)_min_samples_split4
sklearn.ensemble.forest.RandomForestClassifier(63)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(63)_n_estimators500
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

0.9097 ± 0.0068
Per class
Cross-validation details (10-fold Crossvalidation)
0.6863 ± 0.0149
Per class
Cross-validation details (10-fold Crossvalidation)
0.5949 ± 0.0189
Cross-validation details (10-fold Crossvalidation)
0.4512 ± 0.0106
Cross-validation details (10-fold Crossvalidation)
0.2062 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
0.3065 ± 0
Cross-validation details (10-fold Crossvalidation)
0.6976 ± 0.0136
Cross-validation details (10-fold Crossvalidation)
9873
Per class
Cross-validation details (10-fold Crossvalidation)
0.708 ± 0.0144
Per class
Cross-validation details (10-fold Crossvalidation)
0.6976 ± 0.0136
Cross-validation details (10-fold Crossvalidation)
2.1934 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.6727 ± 0.0086
Cross-validation details (10-fold Crossvalidation)
0.3915 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.3001 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
0.7666 ± 0.0095
Cross-validation details (10-fold Crossvalidation)
0.6258 ± 0.0198
Cross-validation details (10-fold Crossvalidation)