Run
519792

Run 519792

Task 3608 (Supervised Classification) fri_c4_500_100 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
0.6216
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6322
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2482
Cross-validation details (10-fold Crossvalidation)
KB relative information score
128.7542
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.362
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4913
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6336
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.638
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9875
Cross-validation details (10-fold Crossvalidation)
Recall
0.638
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7368
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4956
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6017
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.214
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
2.064
UserCPU time millis testing
0.171
UserCPU time millis training
1.893