Run
519760

Run 519760

Task 3484 (Supervised Classification) oil_spill Uploaded 05-02-2016 by Rafael Gomes Mantovani
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Flow

classif.nnet(5)Learner classif.nnet from package(s) nnet.
classif.nnet(5)_size3
classif.nnet(5)_seed1
classif.nnet(5)_kindMersenne-Twister
classif.nnet(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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9349
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
214.157
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0438
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
0.9144
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9562
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2636
Cross-validation details (10-fold Crossvalidation)
Recall
0.9562
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5174
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2046
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2092
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0226
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.433
UserCPU time millis testing
0.073
UserCPU time millis training
0.36