Run
1815660

Run 1815660

Task 3561 (Supervised Classification) profb Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.naiveBayes.preproc.preproc(4)Learner mlr.classif.naiveBayes.preproc.preproc from package(s) e1071.
mlr.classif.naiveBayes.preproc.preproc(4)_openml.seed1
mlr.classif.naiveBayes.preproc.preproc(4)_openml.kindMersenne-Twister
mlr.classif.naiveBayes.preproc.preproc(4)_openml.normal.kindInversion

Result files

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
0.5592
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6263
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1352
Cross-validation details (10-fold Crossvalidation)
KB relative information score
138.1532
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3363
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
0.6292
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6637
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9188
Cross-validation details (10-fold Crossvalidation)
Recall
0.6637
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7564
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5799
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2302
Cross-validation details (10-fold Crossvalidation)