DEVELOPMENT... OpenML
Run
127794

Run 127794

Task 3670 (Supervised Classification) fri_c4_500_50 Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_NaiveBayes(2)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(2)_I10
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.6729
Per class
Build CPU time
0.2252
Build memory
1832537490.4
F measure
0.6279
Per class
Kappa
0.2533
KB relative information score
98.4458
Mean absolute error
0.4046
Mean prior absolute error
0.4984
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6278
Per class
Predictive accuracy
0.628
Prior entropy
0.9978
Recall
0.628
Per class
Relative absolute error
0.8117
Root mean prior squared error
0.4992
Root mean squared error
0.5136
Root relative squared error
1.0288
SciMark benchmark
943.5504