DEVELOPMENT... OpenML
Run
127467

Run 127467

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)_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
0.908
Per class
Build CPU time
0.0224
Build memory
644049832.4676
F measure
0.8246
Per class
Kappa
0.6064
KB relative information score
495.1061
Mean absolute error
0.222
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
0.8268
Per class
Predictive accuracy
0.8288
Prior entropy
0.9312
Recall
0.8288
Per class
Relative absolute error
0.4901
Root mean prior squared error
0.4759
Root mean squared error
0.34
Root relative squared error
0.7146
SciMark benchmark
943.2074

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