Run
1849210

Run 1849210

Task 3855 (Supervised Classification) analcatdata_broadway 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
0.9815
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9894
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9738
Cross-validation details (10-fold Crossvalidation)
KB relative information score
91.7313
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0105
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4088
Cross-validation details (10-fold Crossvalidation)
Number of instances
95
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9896
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9895
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.867
Cross-validation details (10-fold Crossvalidation)
Recall
0.9895
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0258
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4511
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1026
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2275
Cross-validation details (10-fold Crossvalidation)