Run
10195020

Run 10195020

Task 54 (Supervised Classification) hepatitis Uploaded 17-04-2019 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_state1214
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

0.805 ± 0.1259
Per class
Cross-validation details (10-fold Crossvalidation)
0.7958 ± 0.0713
Per class
Cross-validation details (10-fold Crossvalidation)
0.3842 ± 0.267
Cross-validation details (10-fold Crossvalidation)
28.4511 ± 3.2125
Cross-validation details (10-fold Crossvalidation)
0.2361 ± 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)
0.7984 ± 0.0914
Per class
Cross-validation details (10-fold Crossvalidation)
0.7935 ± 0.0621
Cross-validation details (10-fold Crossvalidation)
0.7418
Cross-validation details (10-fold Crossvalidation)
0.7935 ± 0.0621
Per class
Cross-validation details (10-fold Crossvalidation)
0.7159 ± 0.1716
Cross-validation details (10-fold Crossvalidation)
0.4048 ± 0.0166
Cross-validation details (10-fold Crossvalidation)
0.3761 ± 0.0634
Cross-validation details (10-fold Crossvalidation)
0.9291 ± 0.1605
Cross-validation details (10-fold Crossvalidation)