DEVELOPMENT... OpenML
Run
126194

Run 126194

Task 3896 (Supervised Classification) ada_agnostic 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)_I80
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
0.8341
Per class
Build CPU time
2.0344
Build memory
1175247195.5704
F measure
0.8253
Per class
Kappa
0.5281
KB relative information score
1822.5971
Mean absolute error
0.2177
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8241
Per class
Predictive accuracy
0.8268
Prior entropy
0.8085
Recall
0.8268
Per class
Relative absolute error
0.5834
Root mean prior squared error
0.4319
Root mean squared error
0.3599
Root relative squared error
0.8331
SciMark benchmark
908.8705