Run
9986981

Run 9986981

Task 3918 (Supervised Classification) pc1 Uploaded 15-01-2019 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_state19657
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

0.8261 ± 0.0463
Per class
Cross-validation details (10-fold Crossvalidation)
0.9196 ± 0.0219
Per class
Cross-validation details (10-fold Crossvalidation)
0.3124 ± 0.1892
Cross-validation details (10-fold Crossvalidation)
-292.6263 ± 30.5683
Cross-validation details (10-fold Crossvalidation)
0.096 ± 0.0194
Cross-validation details (10-fold Crossvalidation)
0.1299 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
1109
Per class
Cross-validation details (10-fold Crossvalidation)
0.9148 ± 0.0278
Per class
Cross-validation details (10-fold Crossvalidation)
0.9288 ± 0.0216
Cross-validation details (10-fold Crossvalidation)
0.3667
Cross-validation details (10-fold Crossvalidation)
0.9288 ± 0.0216
Per class
Cross-validation details (10-fold Crossvalidation)
0.7388 ± 0.1563
Cross-validation details (10-fold Crossvalidation)
0.2542 ± 0.0073
Cross-validation details (10-fold Crossvalidation)
0.238 ± 0.0326
Cross-validation details (10-fold Crossvalidation)
0.9363 ± 0.1367
Cross-validation details (10-fold Crossvalidation)