DEVELOPMENT... OpenML
Run
106344

Run 106344

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)_I10
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
0.9889
Per class
Build CPU time
1.275
Build memory
67003016
F measure
0.9489
Per class
Kappa
0.8912
KB relative information score
289.4118
Mean absolute error
0.0514
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
0.9505
Per class
Predictive accuracy
0.9494
Prior entropy
0.9312
Recall
0.9494
Per class
Relative absolute error
0.1107
Root mean prior squared error
0.4874
Root mean squared error
0.2065
Root relative squared error
0.4236
SciMark benchmark
937.4026