Run
10045123

Run 10045123

Task 55 (Supervised Classification) vote 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_state22081
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

0.9842 ± 0.0174
Per class
Cross-validation details (10-fold Crossvalidation)
0.9494 ± 0.0366
Per class
Cross-validation details (10-fold Crossvalidation)
0.8933 ± 0.0764
Cross-validation details (10-fold Crossvalidation)
380.0843 ± 2.6357
Cross-validation details (10-fold Crossvalidation)
0.0611 ± 0.0286
Cross-validation details (10-fold Crossvalidation)
0.4742 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
435
Per class
Cross-validation details (10-fold Crossvalidation)
0.9494 ± 0.0356
Per class
Cross-validation details (10-fold Crossvalidation)
0.9494 ± 0.0368
Cross-validation details (10-fold Crossvalidation)
0.9627
Cross-validation details (10-fold Crossvalidation)
0.9494 ± 0.0368
Per class
Cross-validation details (10-fold Crossvalidation)
0.1289 ± 0.0605
Cross-validation details (10-fold Crossvalidation)
0.4869 ± 0.002
Cross-validation details (10-fold Crossvalidation)
0.1909 ± 0.0584
Cross-validation details (10-fold Crossvalidation)
0.3922 ± 0.1201
Cross-validation details (10-fold Crossvalidation)