Run
517349

Run 517349

Task 9909 (Supervised Classification) autoUniv-au1-1000 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
0.5992
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7052
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2109
Cross-validation details (10-fold Crossvalidation)
KB relative information score
178.0017
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.285
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3841
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6985
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.715
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.826
Cross-validation details (10-fold Crossvalidation)
Recall
0.715
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7421
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5339
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2186
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.101
UserCPU time millis testing
0.054
UserCPU time millis training
1.047