Run
1815690

Run 1815690

Task 9903 (Supervised Classification) autoUniv-au7-500 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
0.5545
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3323
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1133
Cross-validation details (10-fold Crossvalidation)
KB relative information score
104.9374
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2432
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2996
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3883
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.392
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.1516
Cross-validation details (10-fold Crossvalidation)
Recall
0.392
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8117
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4932
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2745
Cross-validation details (10-fold Crossvalidation)