Run
517052

Run 517052

Task 53 (Supervised Classification) vehicle Uploaded 29-01-2016 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
0.8671
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8005
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7351
Cross-validation details (10-fold Crossvalidation)
KB relative information score
643.9482
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0993
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7996
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8014
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.8014
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2649
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3151
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7279
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.851
UserCPU time millis testing
0.076
UserCPU time millis training
1.775