Run
517057

Run 517057

Task 53 (Supervised Classification) vehicle Uploaded 29-01-2016 by Rafael Gomes Mantovani
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Flow

classif.nnet(3)Learner classif.nnet from package(s) nnet.
classif.nnet(3)_size3
classif.nnet(3)_seed1
classif.nnet(3)_kindMersenne-Twister
classif.nnet(3)_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
0.5339
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2586
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0691
Cross-validation details (10-fold Crossvalidation)
KB relative information score
136.4536
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3463
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
0.4372
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3073
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.3073
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.924
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5885
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3594
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.751
UserCPU time millis testing
0.073
UserCPU time millis training
0.678