Run
1815631

Run 1815631

Task 53 (Supervised Classification) vehicle 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
0.64
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4243
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.279
Cross-validation details (10-fold Crossvalidation)
KB relative information score
292.6917
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2725
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5184
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4551
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.4551
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7269
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.522
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2057
Cross-validation details (10-fold Crossvalidation)