DEVELOPMENT... OpenML
Run
24406

Run 24406

Task 49 (Supervised Classification) tic-tac-toe Uploaded 07-07-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(1)_I160
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1

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
0.9925
Per class
F measure
0.9948
Per class
Kappa
0.9884
KB relative information score
946.1986
Mean absolute error
0.0052
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
0.0115
Root mean prior squared error
0.4759
Root mean squared error
0.0722
Root relative squared error
0.1518
SciMark benchmark
943.9559[561.2100229485231009.9344946043965475.7385195030516908.32981910425011764.5664888040972]