Run
513148

Run 513148

Task 3689 (Supervised Classification) fri_c1_500_10 Uploaded 28-01-2016 by Rafael Gomes Mantovani
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Flow

classif.LiblineaRL2LogReg(4)Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
classif.LiblineaRL2LogReg(4)_seed1
classif.LiblineaRL2LogReg(4)_kindMersenne-Twister
classif.LiblineaRL2LogReg(4)_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
0.653
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6581
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3083
Cross-validation details (10-fold Crossvalidation)
KB relative information score
155.4451
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.34
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4954
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6584
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.66
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9934
Cross-validation details (10-fold Crossvalidation)
Recall
0.66
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6863
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4977
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5831
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1716
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.054
UserCPU time millis testing
0.021
UserCPU time millis training
0.033