Run
509969

Run 509969

Task 3641 (Supervised Classification) fri_c2_100_25 Uploaded 27-01-2016 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
0.6909
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6914
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3765
Cross-validation details (10-fold Crossvalidation)
KB relative information score
36.2253
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.31
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4904
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6963
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.69
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9864
Cross-validation details (10-fold Crossvalidation)
Recall
0.69
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6321
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5568
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1246
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.039
UserCPU time millis testing
0.022
UserCPU time millis training
1.017