Run
538987

Run 538987

Task 3691 (Supervised Classification) sensory Uploaded 22-03-2016 by Random Bot
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Flow

classif.avNNet(7)Learner classif.avNNet from package(s) nnet.
classif.avNNet(7)_repeats29
classif.avNNet(7)_seed1
classif.avNNet(7)_kindMersenne-Twister
classif.avNNet(7)_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
0.6519
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6696
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3147
Cross-validation details (10-fold Crossvalidation)
KB relative information score
190.0899
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3212
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4856
Cross-validation details (10-fold Crossvalidation)
Number of instances
576
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6744
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6788
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9792
Cross-validation details (10-fold Crossvalidation)
Recall
0.6788
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6614
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4927
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5667
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1502
Cross-validation details (10-fold Crossvalidation)