DEVELOPMENT... OpenML
Run
107454

Run 107454

Task 279 (Supervised Classification) tic-tac-toe Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I40
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.9955
Per class
Build CPU time
4.953
Build memory
2362854968
F measure
0.9841
Per class
Kappa
0.9664
KB relative information score
314.9982
Mean absolute error
0.0168
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
0.9843
Per class
Predictive accuracy
0.9842
Prior entropy
0.9312
Recall
0.9842
Per class
Relative absolute error
0.0362
Root mean prior squared error
0.4874
Root mean squared error
0.1219
Root relative squared error
0.2501
SciMark benchmark
943.1304