Run
511532

Run 511532

Task 3860 (Supervised Classification) balance-scale 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
0.9494
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9519
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.903
Cross-validation details (10-fold Crossvalidation)
KB relative information score
564.4502
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.048
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4969
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.952
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9956
Cross-validation details (10-fold Crossvalidation)
Recall
0.952
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0966
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4985
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2191
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4395
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.195
UserCPU time millis testing
0.041
UserCPU time millis training
0.154