Run
507848

Run 507848

Task 3818 (Supervised Classification) tae 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
0.6216
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6762
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.265
Cross-validation details (10-fold Crossvalidation)
KB relative information score
44.7929
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3046
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4522
Cross-validation details (10-fold Crossvalidation)
Number of instances
151
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6789
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6954
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9308
Cross-validation details (10-fold Crossvalidation)
Recall
0.6954
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6737
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4752
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5519
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1616
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.698
UserCPU time millis testing
0.047
UserCPU time millis training
0.651