Run
510754

Run 510754

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.glmboost(2)Learner classif.glmboost from package(s) mboost.
classif.glmboost(2)_familyBinomial
classif.glmboost(2)_mmstop
classif.glmboost(2)_seed1
classif.glmboost(2)_kindMersenne-Twister
classif.glmboost(2)_normal.kindInversion

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.6875
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9673
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5346
Cross-validation details (10-fold Crossvalidation)
KB relative information score
283.7928
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0268
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9739
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9732
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9732
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3207
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1638
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8081
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.925
UserCPU time millis testing
0.072
UserCPU time millis training
1.853