Run
1845825

Run 1845825

Task 3570 (Supervised Classification) biomed Uploaded 09-12-2016 by Heidi Seibold
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Flow

mlr.classif.develpartykit.ctree(1)Please use the mlr add-on code https://github.com/HeidiSeibold/sandbox/blob/95fb76a6c6c645dc5915754b739f2c00b12df542/rstuff/openml_ctree.R and devel partykit package revision 1034: https://r-forge.r-project.org/scm/viewvc.php/pkg/devel/?root=partyki
mlr.classif.develpartykit.ctree(1)_teststatmaximum
mlr.classif.develpartykit.ctree(1)_splitstatmaximum
mlr.classif.develpartykit.ctree(1)_openml.seed1
mlr.classif.develpartykit.ctree(1)_openml.kindMersenne-Twister
mlr.classif.develpartykit.ctree(1)_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
0.767
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7955
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5501
Cross-validation details (10-fold Crossvalidation)
KB relative information score
114.4295
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.201
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4605
Cross-validation details (10-fold Crossvalidation)
Number of instances
209
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7959
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.799
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9428
Cross-validation details (10-fold Crossvalidation)
Recall
0.799
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4364
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4483
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9346
Cross-validation details (10-fold Crossvalidation)