Run
515940

Run 515940

Task 3598 (Supervised Classification) fri_c0_250_50 Uploaded 28-01-2016 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
0.82
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8201
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6391
Cross-validation details (10-fold Crossvalidation)
KB relative information score
159.4627
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.498
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8205
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.82
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9971
Cross-validation details (10-fold Crossvalidation)
Recall
0.82
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3615
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.499
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4243
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8503
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.216
UserCPU time millis testing
0.132
UserCPU time millis training
1.084