DEVELOPMENT... OpenML
Run
48978

Run 48978

Task 1713 (Learning Curve) mfeat-fourier 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
0.9364 ± 0.01
Per class
Build CPU time
1.0982
Build memory
2940400334.2546
F measure
0.7805 ± 0.0221
Per class
Kappa
0.7583 ± 0.0258
KB relative information score
0.677 ± 0.0239
Mean absolute error
0.0847 ± 0.0056
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7817 ± 0.0219
Per class
Predictive accuracy
0.7825 ± 0.0232
Prior entropy
3.3219
Recall
0.7825 ± 0.0232
Per class
Relative absolute error
0.4703 ± 0.031
Root mean prior squared error
0.3
Root mean squared error
0.1859 ± 0.0066
Root relative squared error
0.6196 ± 0.0221
SciMark benchmark
1655.4655