DEVELOPMENT... OpenML
Run
125120

Run 125120

Task 279 (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)_I160
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
0.9688
Per class
Build CPU time
0.022
Build memory
678428608
F measure
0.9129
Per class
Kappa
0.8136
KB relative information score
238.615
Mean absolute error
0.1326
Mean prior absolute error
0.4641
Number of instances
316
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9187
Per class
Predictive accuracy
0.9146
Prior entropy
0.9312
Recall
0.9146
Per class
Relative absolute error
0.2858
Root mean prior squared error
0.4874
Root mean squared error
0.2453
Root relative squared error
0.5032
SciMark benchmark
943.5504