Run
512970

Run 512970

Task 3785 (Supervised Classification) fri_c2_100_50 Uploaded 28-01-2016 by Rafael Gomes Mantovani
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.5345
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5422
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0681
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4.5743
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.46
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4875
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5462
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.54
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9822
Cross-validation details (10-fold Crossvalidation)
Recall
0.54
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9437
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4936
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6782
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3742
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.435
UserCPU time millis testing
0.143
UserCPU time millis training
0.292