DEVELOPMENT... OpenML
Run
107406

Run 107406

Task 49 (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
0.9984
Per class
Build CPU time
6.5417
Build memory
931579477.9123
F measure
0.9916
Per class
Kappa
0.9815
KB relative information score
939.3252
Mean absolute error
0.0083
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
0.9918
Per class
Predictive accuracy
0.9916
Prior entropy
0.9312
Recall
0.9916
Per class
Relative absolute error
0.0184
Root mean prior squared error
0.4759
Root mean squared error
0.0906
Root relative squared error
0.1903
SciMark benchmark
942.9216