Run
510795

Run 510795

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.multinom(5)Learner classif.multinom from package(s) nnet.
classif.multinom(5)_seed1
classif.multinom(5)_kindMersenne-Twister
classif.multinom(5)_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
0.5958
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8254
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2298
Cross-validation details (10-fold Crossvalidation)
KB relative information score
110.1828
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1574
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8159
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8426
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8426
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6395
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3968
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.133
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.403
UserCPU time millis testing
0.06
UserCPU time millis training
0.343