Run
1847463

Run 1847463

Task 3863 (Supervised Classification) hypothyroid Uploaded 13-02-2017 by Heidi Seibold
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Flow

mlr.classif.develpartykit.cforest(3)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 1089: https://r-forge.r-project.org/scm/viewvc.php/pkg/devel/?root=partykit
mlr.classif.develpartykit.cforest(3)_lookaheadTRUE
mlr.classif.develpartykit.cforest(3)_traceA 2 197378 131840 10 1 1
mlr.classif.develpartykit.cforest(3)_openml.seed1
mlr.classif.develpartykit.cforest(3)_openml.kindMersenne-Twister
mlr.classif.develpartykit.cforest(3)_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
0.9881
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9927
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9493
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3492.8774
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0074
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1426
Cross-validation details (10-fold Crossvalidation)
Number of instances
3772
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9929
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9926
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3928
Cross-validation details (10-fold Crossvalidation)
Recall
0.9926
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0521
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2668
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0862
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3229
Cross-validation details (10-fold Crossvalidation)