DEVELOPMENT... OpenML
Run
48985

Run 48985

Task 1727 (Learning Curve) optdigits 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
0.9811 ± 0.0046
Per class
Build CPU time
1.928
Build memory
3322111931.2571
F measure
0.9147 ± 0.0148
Per class
Kappa
0.9047 ± 0.0164
KB relative information score
0.8581 ± 0.0123
Mean absolute error
0.0424 ± 0.0021
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9171 ± 0.0139
Per class
Predictive accuracy
0.9142 ± 0.0147
Prior entropy
3.3218 ± 0.0001
Recall
0.9142 ± 0.0147
Per class
Relative absolute error
0.2358 ± 0.0117
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1175 ± 0.0089
Root relative squared error
0.3917 ± 0.0298
SciMark benchmark
1655.4655