Run
517110

Run 517110

Task 3857 (Supervised Classification) vehicle Uploaded 29-01-2016 by Rafael Gomes Mantovani
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Flow

classif.probit(3)Learner classif.probit from package(s) stats.
classif.probit(3)_seed1
classif.probit(3)_kindMersenne-Twister
classif.probit(3)_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
0.9606
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9704
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9226
Cross-validation details (10-fold Crossvalidation)
KB relative information score
772.7816
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0296
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3828
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9704
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9704
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8241
Cross-validation details (10-fold Crossvalidation)
Recall
0.9704
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0772
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4374
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1719
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.393
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.871
UserCPU time millis testing
0.047
UserCPU time millis training
0.824