Run
1848107

Run 1848107

Task 29 (Supervised Classification) credit-approval Uploaded 01-03-2017 by Giuseppe Casalicchio
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Flow

mlr.classif.cforest.preproc(2)Learner mlr.classif.cforest.preproc from package(s) party.
mlr.classif.cforest.preproc(2)_openml.seed1
mlr.classif.cforest.preproc(2)_openml.kindMersenne-Twister
mlr.classif.cforest.preproc(2)_openml.normal.kindInversion

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

Area under ROC curve
0.9273
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.861
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.719
Cross-validation details (10-fold Crossvalidation)
KB relative information score
435.9164
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1935
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8614
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8609
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8609
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3917
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3134
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6306
Cross-validation details (10-fold Crossvalidation)