Run
10045126

Run 10045126

Task 4 (Supervised Classification) labor Uploaded 22-01-2019 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_state50905
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

0.973 ± 0.0623
Per class
Cross-validation details (10-fold Crossvalidation)
0.9117 ± 0.1222
Per class
Cross-validation details (10-fold Crossvalidation)
0.8052 ± 0.3734
Cross-validation details (10-fold Crossvalidation)
40.5077 ± 1.1884
Cross-validation details (10-fold Crossvalidation)
0.1368 ± 0.0827
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 ± 0.1144
Per class
Cross-validation details (10-fold Crossvalidation)
0.9123 ± 0.1442
Cross-validation details (10-fold Crossvalidation)
0.9393
Cross-validation details (10-fold Crossvalidation)
0.9123 ± 0.1442
Per class
Cross-validation details (10-fold Crossvalidation)
0.2994 ± 0.1792
Cross-validation details (10-fold Crossvalidation)
0.4773 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
0.2541 ± 0.1241
Cross-validation details (10-fold Crossvalidation)
0.5324 ± 0.2605
Cross-validation details (10-fold Crossvalidation)