Run
516137

Run 516137

Task 3781 (Supervised Classification) fri_c4_250_50 Uploaded 28-01-2016 by Rafael Gomes Mantovani
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Flow

classif.avNNet(5)Learner classif.avNNet from package(s) nnet.
classif.avNNet(5)_size3
classif.avNNet(5)_seed1
classif.avNNet(5)_kindMersenne-Twister
classif.avNNet(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
0.5609
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5639
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1218
Cross-validation details (10-fold Crossvalidation)
KB relative information score
29.9874
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.436
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4968
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5637
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.564
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9955
Cross-validation details (10-fold Crossvalidation)
Recall
0.564
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8776
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4984
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6603
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3249
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
5.099
UserCPU time millis testing
0.61
UserCPU time millis training
4.489