DEVELOPMENT... OpenML
Run
126866

Run 126866

Task 49 (Supervised Classification) tic-tac-toe Uploaded 25-12-2014 by Felicia West
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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)_I20
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
0.9514
Per class
Build CPU time
0.04
Build memory
327817561.9457
F measure
0.867
Per class
Kappa
0.7024
KB relative information score
620.3183
Mean absolute error
0.1634
Mean prior absolute error
0.453
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8689
Per class
Predictive accuracy
0.8695
Prior entropy
0.9312
Recall
0.8695
Per class
Relative absolute error
0.3608
Root mean prior squared error
0.4759
Root mean squared error
0.2881
Root relative squared error
0.6054
SciMark benchmark
908.8705