DEVELOPMENT... OpenML
Run
48967

Run 48967

Task 2102 (Learning Curve) eucalyptus Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.7515 ± 0.0309
Per class
Build CPU time
0.0494
Build memory
3043618732
F measure
0.5872 ± 0.0533
Per class
Kappa
0.4743 ± 0.0685
KB relative information score
0.2026 ± 0.0215
Mean absolute error
0.2828 ± 0.0036
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6421 ± 0.045
Per class
Predictive accuracy
0.591 ± 0.0531
Prior entropy
2.2621 ± 0.0043
Recall
0.591 ± 0.0531
Per class
Relative absolute error
0.9029 ± 0.0118
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.363 ± 0.0049
Root relative squared error
0.9172 ± 0.0126
SciMark benchmark
1655.4655