Run
520048

Run 520048

Task 3767 (Supervised Classification) fri_c0_1000_50 Uploaded 05-02-2016 by Rafael Gomes Mantovani
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Flow

classif.glmboost(3)Learner classif.glmboost from package(s) mboost.
classif.glmboost(3)_familyBinomial
classif.glmboost(3)_mmstop
classif.glmboost(3)_seed1
classif.glmboost(3)_kindMersenne-Twister
classif.glmboost(3)_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
0.8318
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.832
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6638
Cross-validation details (10-fold Crossvalidation)
KB relative information score
663.8056
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.168
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4998
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.832
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.832
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9997
Cross-validation details (10-fold Crossvalidation)
Recall
0.832
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3361
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4099
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8199
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
2.797
UserCPU time millis testing
0.097
UserCPU time millis training
2.7