Run
495601

Run 495601

Task 47 (Supervised Classification) tae Uploaded 03-12-2015 by Rafael Gomes Mantovani
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Flow

classif.avNNet(1)Learner classif.avNNet from package(s) nnet.
classif.avNNet(1)_size3
classif.avNNet(1)_seed1
classif.avNNet(1)_kindMersenne-Twister
classif.avNNet(1)_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.

17 Evaluation measures

Area under ROC curve
0.6677
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5146
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.287
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19.6077
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4139
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4443
Cross-validation details (10-fold Crossvalidation)
Number of instances
151
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5267
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5232
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5845
Cross-validation details (10-fold Crossvalidation)
Recall
0.5232
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9316
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4713
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4529
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9609
Cross-validation details (10-fold Crossvalidation)