Run
514668

Run 514668

Task 9990 (Supervised Classification) energy-efficiency Uploaded 28-01-2016 by Rafael Gomes Mantovani
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Flow

classif.naiveBayes(5)Learner classif.naiveBayes from package(s) e1071.
classif.naiveBayes(5)_seed1
classif.naiveBayes(5)_kindMersenne-Twister
classif.naiveBayes(5)_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
0.5104
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0513
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0212
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28.9452
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.05
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.05
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.0785
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.0495
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.7568
Cross-validation details (10-fold Crossvalidation)
Recall
0.0495
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9996
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1581
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2237
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4147
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.408
UserCPU time millis testing
1.028
UserCPU time millis training
0.38