Run
1816425

Run 1816425

Task 3481 (Supervised Classification) isolet 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
0.9895
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8556
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8513
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6692.3871
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074
Cross-validation details (10-fold Crossvalidation)
Number of instances
7797
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8671
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.857
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.7004
Cross-validation details (10-fold Crossvalidation)
Recall
0.857
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.149
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1038
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.54
Cross-validation details (10-fold Crossvalidation)