Run
502270

Run 502270

Task 3647 (Supervised Classification) rabe_266 Uploaded 21-12-2015 by Rafael Gomes Mantovani
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Flow

classif.nnet(2)Learner classif.nnet from package(s) nnet.
classif.nnet(2)_size3
classif.nnet(2)_seed1
classif.nnet(2)_kindMersenne-Twister
classif.nnet(2)_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
0.9683
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9334
Cross-validation details (10-fold Crossvalidation)
KB relative information score
111.965
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0333
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4988
Cross-validation details (10-fold Crossvalidation)
Number of instances
120
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9689
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9983
Cross-validation details (10-fold Crossvalidation)
Recall
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0668
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1826
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3656
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.06
UserCPU time millis testing
0.012
UserCPU time millis training
0.048