Run
495676

Run 495676

Task 3648 (Supervised Classification) fri_c3_100_10 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
0.7027
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6565
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2797
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19.9402
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3855
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4804
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6552
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.66
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9721
Cross-validation details (10-fold Crossvalidation)
Recall
0.66
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8026
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4899
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4688
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.957
Cross-validation details (10-fold Crossvalidation)