Run
1845822

Run 1845822

Task 3618 (Supervised Classification) puma32H 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
0.6562
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6561
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3123
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2557.5039
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3439
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
8192
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6563
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6561
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6561
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6878
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5864
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1728
Cross-validation details (10-fold Crossvalidation)