Run
1849249

Run 1849249

Task 3570 (Supervised Classification) biomed Uploaded 09-03-2017 by Heidi Seibold
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Flow

mlr.classif.develpartykit.cforest(6)Learner mlr.classif.develpartykit.cforest from package(s) partykit.
mlr.classif.develpartykit.cforest(6)_splittestTRUE
mlr.classif.develpartykit.cforest(6)_testtypeMonteCarlo
mlr.classif.develpartykit.cforest(6)_nresample500
mlr.classif.develpartykit.cforest(6)_openml.seed1
mlr.classif.develpartykit.cforest(6)_openml.kindMersenne-Twister
mlr.classif.develpartykit.cforest(6)_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
0.7901
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8259
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6146
Cross-validation details (10-fold Crossvalidation)
KB relative information score
130.1503
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1675
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4605
Cross-validation details (10-fold Crossvalidation)
Number of instances
209
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8356
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8325
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9428
Cross-validation details (10-fold Crossvalidation)
Recall
0.8325
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3636
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4092
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8531
Cross-validation details (10-fold Crossvalidation)