DEVELOPMENT... OpenML
Run
127508

Run 127508

Task 266 (Supervised Classification) segment 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
0.941
Per class
Build CPU time
0.51
Build memory
757764168
F measure
0.7899
Per class
Kappa
0.7774
KB relative information score
513.8674
Mean absolute error
0.1186
Mean prior absolute error
0.2449
Number of instances
762
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8236
Per class
Predictive accuracy
0.8097
Prior entropy
2.8074
Recall
0.8097
Per class
Relative absolute error
0.4843
Root mean prior squared error
0.3499
Root mean squared error
0.2056
Root relative squared error
0.5876
SciMark benchmark
943.2074