DEVELOPMENT... OpenML
Run
48998

Run 48998

Task 1757 (Learning Curve) waveform-5000 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
0.8975 ± 0.0143
Per class
Build CPU time
0.4015
Build memory
2314310635.3714
F measure
0.7888 ± 0.018
Per class
Kappa
0.7017 ± 0.0241
KB relative information score
0.6148 ± 0.018
Mean absolute error
0.2079 ± 0.0088
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8353 ± 0.0127
Per class
Predictive accuracy
0.8008 ± 0.0161
Prior entropy
1.5849 ± 0
Recall
0.8008 ± 0.0161
Per class
Relative absolute error
0.4679 ± 0.0197
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.3199 ± 0.0123
Root relative squared error
0.6787 ± 0.0261
SciMark benchmark
1655.4655