Run
1815717

Run 1815717

Task 9985 (Supervised Classification) first-order-theorem-proving 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
0.5313
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1369
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0587
Cross-validation details (10-fold Crossvalidation)
KB relative information score
275.2138
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2764
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2508
Cross-validation details (10-fold Crossvalidation)
Number of instances
6118
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3711
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1708
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3005
Cross-validation details (10-fold Crossvalidation)
Recall
0.1708
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1022
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3541
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5257
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4848
Cross-validation details (10-fold Crossvalidation)