Run
9918436

Run 9918436

Task 54 (Supervised Classification) hepatitis Uploaded 19-12-2018 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.preprocessing.imputation.Imputer, estimator=sklearn.ensemble.forest.RandomForestClassifier)(4)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(32)_axis0
sklearn.preprocessing.imputation.Imputer(32)_copytrue
sklearn.preprocessing.imputation.Imputer(32)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(32)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(32)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(4)_memorynull
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_state44048
sklearn.ensemble.forest.RandomForestClassifier(46)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(46)_warm_startfalse

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

0.7777 ± 0.1029
Per class
Cross-validation details (10-fold Crossvalidation)
0.7831 ± 0.0611
Per class
Cross-validation details (10-fold Crossvalidation)
0.3269 ± 0.1894
Cross-validation details (10-fold Crossvalidation)
20.8701 ± 3.4316
Cross-validation details (10-fold Crossvalidation)
0.2477 ± 0.0581
Cross-validation details (10-fold Crossvalidation)
0.3299 ± 0.0138
Cross-validation details (10-fold Crossvalidation)
155
Per class
Cross-validation details (10-fold Crossvalidation)
0.7799 ± 0.0744
Per class
Cross-validation details (10-fold Crossvalidation)
0.7871 ± 0.0631
Cross-validation details (10-fold Crossvalidation)
0.7418
Cross-validation details (10-fold Crossvalidation)
0.7871 ± 0.0631
Per class
Cross-validation details (10-fold Crossvalidation)
0.7511 ± 0.1721
Cross-validation details (10-fold Crossvalidation)
0.4048 ± 0.0166
Cross-validation details (10-fold Crossvalidation)
0.388 ± 0.0552
Cross-validation details (10-fold Crossvalidation)
0.9587 ± 0.1343
Cross-validation details (10-fold Crossvalidation)