Run
10154777

Run 10154777

Task 4 (Supervised Classification) labor Uploaded 13-02-2019 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_state6447
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

0.9547 ± 0.0748
Per class
Cross-validation details (10-fold Crossvalidation)
0.8947 ± 0.1213
Per class
Cross-validation details (10-fold Crossvalidation)
0.7689 ± 0.2684
Cross-validation details (10-fold Crossvalidation)
38.6867 ± 1.2219
Cross-validation details (10-fold Crossvalidation)
0.1526 ± 0.0915
Cross-validation details (10-fold Crossvalidation)
0.457 ± 0.0093
Cross-validation details (10-fold Crossvalidation)
57
Per class
Cross-validation details (10-fold Crossvalidation)
0.8947 ± 0.1083
Per class
Cross-validation details (10-fold Crossvalidation)
0.8947 ± 0.1191
Cross-validation details (10-fold Crossvalidation)
0.9393
Cross-validation details (10-fold Crossvalidation)
0.8947 ± 0.1191
Per class
Cross-validation details (10-fold Crossvalidation)
0.334 ± 0.1978
Cross-validation details (10-fold Crossvalidation)
0.4773 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
0.2794 ± 0.1461
Cross-validation details (10-fold Crossvalidation)
0.5854 ± 0.3052
Cross-validation details (10-fold Crossvalidation)