Run
487644

Run 487644

Task 3729 (Supervised Classification) analcatdata_neavote Uploaded 02-12-2015 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
0.414
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8963
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-59.5991
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1332
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1375
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8649
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.93
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3966
Cross-validation details (10-fold Crossvalidation)
Recall
0.93
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9689
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2553
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.264
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0339
Cross-validation details (10-fold Crossvalidation)