DEVELOPMENT... OpenML
Run
135918

Run 135918

Task 279 (Supervised Classification) tic-tac-toe Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I80
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.7589
Per class
Build CPU time
0.005
Build memory
2436652688
F measure
0.7665
Per class
Kappa
0.5076
KB relative information score
152.0626
Mean absolute error
0.2412
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
0.7675
Per class
Predictive accuracy
0.7658
Prior entropy
0.9312
Recall
0.7658
Per class
Relative absolute error
0.5197
Root mean prior squared error
0.4874
Root mean squared error
0.4787
Root relative squared error
0.982
SciMark benchmark
934.6076