DEVELOPMENT... OpenML
Run
17752

Run 17752

Task 29 (Supervised Classification) credit-approval Uploaded 09-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(1)_I80
weka.AdaBoostM1_J48(1)_P100
weka.AdaBoostM1_J48(1)_S1
weka.AdaBoostM1_J48(1)_Wweka.classifiers.trees.J48
weka.J48(1)_C0.25
weka.J48(1)_M2

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.

19 Evaluation measures

Area under ROC curve
0.8688
Per class
F measure
0.8547
Per class
Kappa
0.7054
KB relative information score
487.3211
Mean absolute error
0.1442
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8549
Per class
Predictive accuracy
0.8551
Prior entropy
0.9913
Recall
0.8551
Per class
Relative absolute error
0.2919
Root mean prior squared error
0.497
Root mean squared error
0.3782
Root relative squared error
0.7611
SciMark benchmark
936.8815[559.94883937717861003.0999501163338473.43111305208095898.06093401596671749.8664669073971]