Run
509609

Run 509609

Task 3887 (Supervised Classification) analcatdata_germangss 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
0.8384
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8896
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6821
Cross-validation details (10-fold Crossvalidation)
KB relative information score
255.4145
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.11
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3495
Cross-validation details (10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8892
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.89
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7716
Cross-validation details (10-fold Crossvalidation)
Recall
0.89
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3147
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4176
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3317
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7942
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.213
UserCPU time millis testing
0.063
UserCPU time millis training
1.15