Run
510785

Run 510785

Task 3812 (Supervised Classification) arsenic-female-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
0.501
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7905
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0034
Cross-validation details (10-fold Crossvalidation)
KB relative information score
130.4442
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1503
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7583
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8497
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8497
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6104
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3876
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.107
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
2.105
UserCPU time millis testing
0.137
UserCPU time millis training
1.968