Run
10154792

Run 10154792

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_state9587
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

0.9466 ± 0.1078
Per class
Cross-validation details (10-fold Crossvalidation)
0.9117 ± 0.1567
Per class
Cross-validation details (10-fold Crossvalidation)
0.8052 ± 0.3393
Cross-validation details (10-fold Crossvalidation)
39.3761 ± 1.2724
Cross-validation details (10-fold Crossvalidation)
0.1509 ± 0.0943
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)
0.9118 ± 0.1541
Per class
Cross-validation details (10-fold Crossvalidation)
0.9123 ± 0.1556
Cross-validation details (10-fold Crossvalidation)
0.9393
Cross-validation details (10-fold Crossvalidation)
0.9123 ± 0.1556
Per class
Cross-validation details (10-fold Crossvalidation)
0.3301 ± 0.2051
Cross-validation details (10-fold Crossvalidation)
0.4773 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
0.2675 ± 0.1392
Cross-validation details (10-fold Crossvalidation)
0.5606 ± 0.2931
Cross-validation details (10-fold Crossvalidation)