Run
507061

Run 507061

Task 3592 (Supervised Classification) fri_c2_100_5 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
0.625
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6488
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2609
Cross-validation details (10-fold Crossvalidation)
KB relative information score
27.9534
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.34
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
0.6514
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
0.7078
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4899
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5831
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1902
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.092
UserCPU time millis testing
0.033
UserCPU time millis training
0.059