OpenML
18052

Run 18052

Task 31 (Supervised Classification) credit-g Uploaded 10-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_NaiveBayes(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_NaiveBayes(1)_I10
weka.AdaBoostM1_NaiveBayes(1)_P100
weka.AdaBoostM1_NaiveBayes(1)_S1
weka.AdaBoostM1_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

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
0.7556
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7501
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3954
Cross-validation details (10-fold Crossvalidation)
KB relative information score
260.4733
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3052
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7474
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.755
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.755
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7263
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4234
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9238
Cross-validation details (10-fold Crossvalidation)