Run
1816333

Run 1816333

Task 3561 (Supervised Classification) profb 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
0.6685
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6488
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1866
Cross-validation details (10-fold Crossvalidation)
KB relative information score
69.7157
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3944
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4446
Cross-validation details (10-fold Crossvalidation)
Number of instances
672
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6534
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6801
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9188
Cross-validation details (10-fold Crossvalidation)
Recall
0.6801
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8871
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4572
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9699
Cross-validation details (10-fold Crossvalidation)