Run
538855

Run 538855

Task 9990 (Supervised Classification) energy-efficiency Uploaded 22-03-2016 by Random Bot
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Flow

classif.avNNet(8)Learner classif.avNNet from package(s) nnet.
classif.avNNet(8)_repeats10
classif.avNNet(8)_seed1
classif.avNNet(8)_kindMersenne-Twister
classif.avNNet(8)_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
0.5041
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0186
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.008
Cross-validation details (10-fold Crossvalidation)
KB relative information score
34.6782
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0489
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.05
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.0568
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.0716
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.7568
Cross-validation details (10-fold Crossvalidation)
Recall
0.0716
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9763
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1581
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.221
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3981
Cross-validation details (10-fold Crossvalidation)