Run
9997601

Run 9997601

Task 3918 (Supervised Classification) pc1 Uploaded 16-01-2019 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_state64702
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

0.8068 ± 0.0913
Per class
Cross-validation details (10-fold Crossvalidation)
0.9243 ± 0.0233
Per class
Cross-validation details (10-fold Crossvalidation)
0.3624 ± 0.2083
Cross-validation details (10-fold Crossvalidation)
-364.8144 ± 21.211
Cross-validation details (10-fold Crossvalidation)
0.0989 ± 0.016
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)
0.9203 ± 0.0252
Per class
Cross-validation details (10-fold Crossvalidation)
0.9315 ± 0.0219
Cross-validation details (10-fold Crossvalidation)
0.3667
Cross-validation details (10-fold Crossvalidation)
0.9315 ± 0.0219
Per class
Cross-validation details (10-fold Crossvalidation)
0.7617 ± 0.1222
Cross-validation details (10-fold Crossvalidation)
0.2542 ± 0.0073
Cross-validation details (10-fold Crossvalidation)
0.2411 ± 0.0299
Cross-validation details (10-fold Crossvalidation)
0.9485 ± 0.1172
Cross-validation details (10-fold Crossvalidation)