Run
1816339

Run 1816339

Task 29 (Supervised Classification) credit-approval Uploaded 20-09-2016 by Rafael Gomes Mantovani
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Flow

mlr.classif.naiveBayes.preproc(7)Learner mlr.classif.naiveBayes.preproc from package(s) e1071.
mlr.classif.naiveBayes.preproc(7)_openml.seed1
mlr.classif.naiveBayes.preproc(7)_openml.kindMersenne-Twister
mlr.classif.naiveBayes.preproc(7)_openml.normal.kindInversion

Result files

rds
BenchmarkResult

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.8854
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7639
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5244
Cross-validation details (10-fold Crossvalidation)
KB relative information score
369.599
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2281
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7896
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7725
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.7725
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4618
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4439
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8932
Cross-validation details (10-fold Crossvalidation)