Run
1816341

Run 1816341

Task 9905 (Supervised Classification) autoUniv-au7-700 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
0.6161
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4178
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.15
Cross-validation details (10-fold Crossvalidation)
KB relative information score
104.5822
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4067
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4437
Cross-validation details (10-fold Crossvalidation)
Number of instances
700
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4249
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.43
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5824
Cross-validation details (10-fold Crossvalidation)
Recall
0.43
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9166
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.471
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4652
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9877
Cross-validation details (10-fold Crossvalidation)