Run
1815689

Run 1815689

Task 9902 (Supervised Classification) autoUniv-au6-1000 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
0.5129
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1622
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0253
Cross-validation details (10-fold Crossvalidation)
KB relative information score
106.0962
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.202
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2147
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1552
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.192
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.9228
Cross-validation details (10-fold Crossvalidation)
Recall
0.192
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9407
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3277
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4494
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3717
Cross-validation details (10-fold Crossvalidation)