Run
517032

Run 517032

Task 53 (Supervised Classification) vehicle Uploaded 29-01-2016 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
0.6648
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4361
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3315
Cross-validation details (10-fold Crossvalidation)
KB relative information score
335.0614
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2494
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.504
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5012
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.5012
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6654
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1536
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
3.962
UserCPU time millis testing
0.285
UserCPU time millis training
3.677