Run
10154780

Run 10154780

Task 4 (Supervised Classification) labor Uploaded 13-02-2019 by Hugo Spee
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  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sk learn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(46)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(46)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(46)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(46)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(46)_max_featuresnull
sklearn.ensemble.forest.RandomForestClassifier(46)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(46)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(46)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(46)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(46)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(46)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(46)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(46)_n_jobsnull
sklearn.ensemble.forest.RandomForestClassifier(46)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(46)_random_state26650
sklearn.ensemble.forest.RandomForestClassifier(46)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(46)_warm_startfalse
sklearn.impute.SimpleImputer(5)_copytrue
sklearn.impute.SimpleImputer(5)_fill_valuenull
sklearn.impute.SimpleImputer(5)_missing_valuesNaN
sklearn.impute.SimpleImputer(5)_strategy"mean"
sklearn.impute.SimpleImputer(5)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)_memorynull

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.

17 Evaluation measures

0.9703 ± 0.0748
Per class
Cross-validation details (10-fold Crossvalidation)
0.8723 ± 0.1321
Per class
Cross-validation details (10-fold Crossvalidation)
0.714 ± 0.3661
Cross-validation details (10-fold Crossvalidation)
37.5474 ± 1.5097
Cross-validation details (10-fold Crossvalidation)
0.1579 ± 0.1073
Cross-validation details (10-fold Crossvalidation)
0.457 ± 0.0093
Cross-validation details (10-fold Crossvalidation)
57
Per class
Cross-validation details (10-fold Crossvalidation)
0.8839 ± 0.1165
Per class
Cross-validation details (10-fold Crossvalidation)
0.8772 ± 0.1406
Cross-validation details (10-fold Crossvalidation)
0.9393
Cross-validation details (10-fold Crossvalidation)
0.8772 ± 0.1406
Per class
Cross-validation details (10-fold Crossvalidation)
0.3455 ± 0.2326
Cross-validation details (10-fold Crossvalidation)
0.4773 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
0.2804 ± 0.1465
Cross-validation details (10-fold Crossvalidation)
0.5874 ± 0.3069
Cross-validation details (10-fold Crossvalidation)