DEVELOPMENT... OpenML
Run
23261

Run 23261

Task 49 (Supervised Classification) tic-tac-toe Uploaded 24-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(1)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_REPTree(1)_I160
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9969
Per class
F measure
0.9948
Per class
Kappa
0.9885
KB relative information score
947.302
Mean absolute error
0.0046
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
0.9948
Per class
Predictive accuracy
0.9948
Prior entropy
0.9312
Recall
0.9948
Per class
Relative absolute error
0.0102
Root mean prior squared error
0.4759
Root mean squared error
0.0643
Root relative squared error
0.1352
SciMark benchmark
939.7396[561.57132520995071011.2595505536781471.35288917392205886.52011659853681767.9939646936223]