Run
1847491

Run 1847491

Task 3849 (Supervised Classification) analcatdata_marketing Uploaded 14-02-2017 by Heidi Seibold
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.develpartykit.ctree(8)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(8)_intersplitTRUE
mlr.classif.develpartykit.ctree(8)_openml.seed1
mlr.classif.develpartykit.ctree(8)_openml.kindMersenne-Twister
mlr.classif.develpartykit.ctree(8)_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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5557
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
81.7834
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3159
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4326
Cross-validation details (10-fold Crossvalidation)
Number of instances
364
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4679
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6841
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.901
Cross-validation details (10-fold Crossvalidation)
Recall
0.6841
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7303
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5621
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2091
Cross-validation details (10-fold Crossvalidation)