Run
1849220

Run 1849220

Task 15 (Supervised Classification) breast-w Uploaded 09-03-2017 by Heidi Seibold
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Flow

mlr.classif.develpartykit.ctree(9)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.ctree(9)_lookaheadTRUE
mlr.classif.develpartykit.ctree(9)_nresample500
mlr.classif.develpartykit.ctree(9)_openml.seed1
mlr.classif.develpartykit.ctree(9)_openml.kindMersenne-Twister
mlr.classif.develpartykit.ctree(9)_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
0.9467
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.946
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8813
Cross-validation details (10-fold Crossvalidation)
KB relative information score
611.0083
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0544
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9471
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9456
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9456
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1203
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2332
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4906
Cross-validation details (10-fold Crossvalidation)