DEVELOPMENT... OpenML
Run
126403

Run 126403

Task 2125 (Supervised Classification) eucalyptus 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)_I40
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
0.7764
Per class
Build CPU time
0.081
Build memory
1751342336
F measure
0.5956
Per class
Kappa
0.4764
KB relative information score
61.5081
Mean absolute error
0.2734
Mean prior absolute error
0.3134
Number of instances
242
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.63
Per class
Predictive accuracy
0.5868
Prior entropy
2.2629
Recall
0.5868
Per class
Relative absolute error
0.8722
Root mean prior squared error
0.3959
Root mean squared error
0.3554
Root relative squared error
0.8977
SciMark benchmark
943.2074