DEVELOPMENT... OpenML
Run
125667

Run 125667

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)_I80
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
0.9587
Per class
Build CPU time
0.0682
Build memory
1271343749.8121
F measure
0.8797
Per class
Kappa
0.7306
KB relative information score
648.9627
Mean absolute error
0.1494
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
0.8822
Per class
Predictive accuracy
0.882
Prior entropy
0.9312
Recall
0.882
Per class
Relative absolute error
0.3299
Root mean prior squared error
0.4759
Root mean squared error
0.2775
Root relative squared error
0.5831
SciMark benchmark
943.5504