DEVELOPMENT... OpenML
Run
48972

Run 48972

Task 1710 (Learning Curve) balance-scale Uploaded 06-11-2014 by Jason
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  • 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
0.9905 ± 0.0063
Per class
Build CPU time
0.0096
Build memory
1473544939.3
F measure
0.9037 ± 0.0333
Per class
Kappa
0.8355 ± 0.0554
KB relative information score
0.8087 ± 0.0513
Mean absolute error
0.0799 ± 0.02
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9009 ± 0.0391
Per class
Predictive accuracy
0.9072 ± 0.0317
Prior entropy
1.3181 ± 0.0124
Recall
0.9072 ± 0.0317
Per class
Relative absolute error
0.2103 ± 0.0527
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.1931 ± 0.0306
Root relative squared error
0.4433 ± 0.0705
SciMark benchmark
1684.48