Run
509957

Run 509957

Task 3641 (Supervised Classification) fri_c2_100_25 Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.LiblineaRL1LogReg(4)Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
classif.LiblineaRL1LogReg(4)_seed1
classif.LiblineaRL1LogReg(4)_kindMersenne-Twister
classif.LiblineaRL1LogReg(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
0.7201
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7211
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4353
Cross-validation details (10-fold Crossvalidation)
KB relative information score
42.3917
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.28
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4904
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7246
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.72
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9864
Cross-validation details (10-fold Crossvalidation)
Recall
0.72
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.571
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5292
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0688
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.055
UserCPU time millis testing
0.008
UserCPU time millis training
0.047