Run
519759

Run 519759

Task 3484 (Supervised Classification) oil_spill Uploaded 05-02-2016 by Rafael Gomes Mantovani
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

classif.naiveBayes(6)Learner classif.naiveBayes from package(s) e1071.
classif.naiveBayes(6)_seed1
classif.naiveBayes(6)_kindMersenne-Twister
classif.naiveBayes(6)_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
0.6681
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6848
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0608
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-6102.3323
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4344
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0846
Cross-validation details (10-fold Crossvalidation)
Number of instances
937
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9425
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5656
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2636
Cross-validation details (10-fold Crossvalidation)
Recall
0.5656
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
5.1361
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2046
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6591
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
3.2219
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
2.402
UserCPU time millis testing
1.714
UserCPU time millis training
0.688