Run
509965

Run 509965

Task 3641 (Supervised Classification) fri_c2_100_25 Uploaded 27-01-2016 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
0.7785
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7805
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5538
Cross-validation details (10-fold Crossvalidation)
KB relative information score
54.7244
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.22
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
0.7817
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.78
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9864
Cross-validation details (10-fold Crossvalidation)
Recall
0.78
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4486
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.469
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9474
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.44
UserCPU time millis testing
0.181
UserCPU time millis training
0.259