Run
1847696

Run 1847696

Task 50 (Supervised Classification) heart-h Uploaded 16-02-2017 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
0.7811
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8068
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5765
Cross-validation details (10-fold Crossvalidation)
KB relative information score
158.1694
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1867
Cross-validation details (10-fold Crossvalidation)
Number of instances
294
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8069
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8095
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0314
Cross-validation details (10-fold Crossvalidation)
Recall
0.8095
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3037
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.276
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9088
Cross-validation details (10-fold Crossvalidation)