Run
8872397

Run 8872397

Task 3494 (Supervised Classification) monks-problems-3 Uploaded 05-03-2018 by Raphaël Couronné
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Flow

mlr.classif.ctree(17)Learner mlr.classif.ctree from package(s) party.
mlr.classif.ctree(17)_openml.seed1
mlr.classif.ctree(17)_openml.kindMersenne-Twister
mlr.classif.ctree(17)_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.

20 Evaluation measures

Area under ROC curve
0.9889
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9892
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9783
Cross-validation details (10-fold Crossvalidation)
KB relative information score
541.9683
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0108
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4992
Cross-validation details (10-fold Crossvalidation)
Number of instances
554
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9893
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9892
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.9892
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0217
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1041
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2083
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.601
UserCPU time millis testing
0.176
UserCPU time millis training
0.425