Run
1847648

Run 1847648

Task 3011 (Supervised Classification) hypothyroid Uploaded 15-02-2017 by Heidi Seibold
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Flow

mlr.classif.develpartykit.cforest(5)Please use the mlr add-on code https://github.com/HeidiSeibold/sandbox/blob/master/rstuff/openml_newctree/new_ctree_mlr.R and devel partykit package revision 1118: https://r-forge.r-project.org/scm/viewvc.php/pkg/devel/?root=partykit
mlr.classif.develpartykit.cforest(5)_intersplitTRUE
mlr.classif.develpartykit.cforest(5)_traceA 2 197378 131840 10 1 1
mlr.classif.develpartykit.cforest(5)_openml.seed1
mlr.classif.develpartykit.cforest(5)_openml.kindMersenne-Twister
mlr.classif.develpartykit.cforest(5)_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
0.9872
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9378
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3397.663
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0046
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0729
Cross-validation details (10-fold Crossvalidation)
Number of instances
3772
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9908
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9907
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4715
Cross-validation details (10-fold Crossvalidation)
Recall
0.9907
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0637
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1904
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0681
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3577
Cross-validation details (10-fold Crossvalidation)