Run
507760

Run 507760

Task 10089 (Supervised Classification) acute-inflammations Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.nnet(3)Learner classif.nnet from package(s) nnet.
classif.nnet(3)_size3
classif.nnet(3)_seed1
classif.nnet(3)_kindMersenne-Twister
classif.nnet(3)_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.

20 Evaluation measures

Area under ROC curve
0.8
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8229
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6364
Cross-validation details (10-fold Crossvalidation)
KB relative information score
78.3241
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1667
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4863
Cross-validation details (10-fold Crossvalidation)
Number of instances
120
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8704
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8333
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9805
Cross-validation details (10-fold Crossvalidation)
Recall
0.8333
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3427
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.493
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4082
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8281
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.221
UserCPU time millis testing
0.1
UserCPU time millis training
0.121