Run
509739

Run 509739

Task 2382 (Supervised Classification) wine Uploaded 27-01-2016 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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2275
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
24.4253
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4007
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.439
Cross-validation details (10-fold Crossvalidation)
Number of instances
178
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1591
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3989
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5674
Cross-validation details (10-fold Crossvalidation)
Recall
0.3989
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9129
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4684
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.633
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3514
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.203
UserCPU time millis testing
0.063
UserCPU time millis training
0.14