DEVELOPMENT... OpenML
Run
126000

Run 126000

Task 3675 (Supervised Classification) pbc 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
0.7574
Per class
Build CPU time
0.0287
Build memory
372464196.2871
F measure
0.6992
Per class
Kappa
0.3951
KB relative information score
127.2009
Mean absolute error
0.3539
Mean prior absolute error
0.495
Number of instances
418
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7015
Per class
Predictive accuracy
0.6986
Prior entropy
0.9928
Recall
0.6986
Per class
Relative absolute error
0.715
Root mean prior squared error
0.4975
Root mean squared error
0.4529
Root relative squared error
0.9104
SciMark benchmark
943.2074