Run
520200

Run 520200

Task 10100 (Supervised Classification) PieChart4 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
0.594
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8658
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2762
Cross-validation details (10-fold Crossvalidation)
KB relative information score
531.1964
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1056
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2148
Cross-validation details (10-fold Crossvalidation)
Number of instances
1458
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8819
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8944
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5368
Cross-validation details (10-fold Crossvalidation)
Recall
0.8944
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4918
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3274
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.325
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9927
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
2.968
UserCPU time millis testing
0.084
UserCPU time millis training
2.884