DEVELOPMENT... OpenML
Run
48988

Run 48988

Task 1730 (Learning Curve) credit-g 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
0.7417 ± 0.0385
Per class
Build CPU time
0.0215
Build memory
3349637662.2222
F measure
0.7383 ± 0.0259
Per class
Kappa
0.3644 ± 0.0567
KB relative information score
0.2409 ± 0.0541
Mean absolute error
0.3108 ± 0.0175
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7352 ± 0.0269
Per class
Predictive accuracy
0.745 ± 0.0299
Prior entropy
0.8813
Recall
0.745 ± 0.0299
Per class
Relative absolute error
0.7398 ± 0.0417
Root mean prior squared error
0.4583
Root mean squared error
0.4327 ± 0.0212
Root relative squared error
0.9442 ± 0.0462
SciMark benchmark
1655.4655