Run
10154859

Run 10154859

Task 54 (Supervised Classification) hepatitis Uploaded 27-02-2019 by Hugo Spee
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
Issue #Downvotes for this reason By


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_state21340
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

0.7985 ± 0.1413
Per class
Cross-validation details (10-fold Crossvalidation)
0.8105 ± 0.0805
Per class
Cross-validation details (10-fold Crossvalidation)
0.4354 ± 0.2612
Cross-validation details (10-fold Crossvalidation)
0.1673 ± 0.2091
Cross-validation details (10-fold Crossvalidation)
0.2394 ± 0.0521
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)
0.8158 ± 0.0933
Per class
Cross-validation details (10-fold Crossvalidation)
0.8065 ± 0.0848
Cross-validation details (10-fold Crossvalidation)
0.7347 ± 0.0454
Cross-validation details (10-fold Crossvalidation)
0.8065 ± 0.0848
Per class
Cross-validation details (10-fold Crossvalidation)
0.7256 ± 0.1568
Cross-validation details (10-fold Crossvalidation)
0.4048 ± 0.0166
Cross-validation details (10-fold Crossvalidation)
0.371 ± 0.052
Cross-validation details (10-fold Crossvalidation)
0.9165 ± 0.1298
Cross-validation details (10-fold Crossvalidation)