DEVELOPMENT... OpenML
Run
126925

Run 126925

Task 285 (Supervised Classification) vote 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)_I20
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
0.9986
Per class
Build CPU time
0.011
Build memory
342772728
F measure
0.9791
Per class
Kappa
0.9558
KB relative information score
132.4569
Mean absolute error
0.0374
Mean prior absolute error
0.4739
Number of instances
143
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9792
Per class
Predictive accuracy
0.979
Prior entropy
0.9627
Recall
0.979
Per class
Relative absolute error
0.0789
Root mean prior squared error
0.4865
Root mean squared error
0.1333
Root relative squared error
0.2739
SciMark benchmark
943.2074