Run
517101

Run 517101

Task 3857 (Supervised Classification) vehicle Uploaded 29-01-2016 by Rafael Gomes Mantovani
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Flow

classif.neuralnet(3)Learner classif.neuralnet from package(s) neuralnet.
classif.neuralnet(3)_err.fctce
classif.neuralnet(3)_seed1
classif.neuralnet(3)_kindMersenne-Twister
classif.neuralnet(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
0.5183
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6542
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0535
Cross-validation details (10-fold Crossvalidation)
KB relative information score
237.5738
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2482
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3828
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.814
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7518
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8241
Cross-validation details (10-fold Crossvalidation)
Recall
0.7518
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6484
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4374
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1392
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
10.26
UserCPU time millis testing
0.036
UserCPU time millis training
10.224