DEVELOPMENT... OpenML
Run
48995

Run 48995

Task 1748 (Learning Curve) tic-tac-toe 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
0.9133 ± 0.0938
Per class
Build CPU time
0.0054
Build memory
2591388436.6222
F measure
0.8201 ± 0.0922
Per class
Kappa
0.5954 ± 0.2081
KB relative information score
0.5176 ± 0.1857
Mean absolute error
0.2229 ± 0.08
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8245 ± 0.0907
Per class
Predictive accuracy
0.8257 ± 0.0865
Prior entropy
0.931 ± 0.0039
Recall
0.8257 ± 0.0865
Per class
Relative absolute error
0.492 ± 0.1761
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.3384 ± 0.0869
Root relative squared error
0.7112 ± 0.1823
SciMark benchmark
1655.4655