Run
508272

Run 508272

Task 3742 (Supervised Classification) fri_c4_100_10 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
0.6305
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6303
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.26
Cross-validation details (10-fold Crossvalidation)
KB relative information score
25.6192
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.37
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4982
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6318
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.63
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10-fold Crossvalidation)
Recall
0.63
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7426
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4991
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6083
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2187
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.629
UserCPU time millis testing
0.045
UserCPU time millis training
0.584