Run
1815691

Run 1815691

Task 9904 (Supervised Classification) autoUniv-au6-750 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
0.527
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1877
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0522
Cross-validation details (10-fold Crossvalidation)
KB relative information score
91.596
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1977
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2137
Cross-validation details (10-fold Crossvalidation)
Number of instances
750
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1774
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2093
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.8958
Cross-validation details (10-fold Crossvalidation)
Recall
0.2093
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9248
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3269
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4446
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3602
Cross-validation details (10-fold Crossvalidation)