Run
1849259

Run 1849259

Task 3547 (Supervised Classification) cars 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
0.7832
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7426
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5368
Cross-validation details (10-fold Crossvalidation)
KB relative information score
215.5278
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1576
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3596
Cross-validation details (10-fold Crossvalidation)
Number of instances
406
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7452
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7635
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3317
Cross-validation details (10-fold Crossvalidation)
Recall
0.7635
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4384
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4236
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.397
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9372
Cross-validation details (10-fold Crossvalidation)