DEVELOPMENT... OpenML
Run
113120

Run 113120

Task 279 (Supervised Classification) tic-tac-toe Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I10
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9855
Per class
Build CPU time
0.025
Build memory
101107096
F measure
0.9395
Per class
Kappa
0.8714
KB relative information score
285.9108
Mean absolute error
0.0567
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
0.9401
Per class
Predictive accuracy
0.9399
Prior entropy
0.9312
Recall
0.9399
Per class
Relative absolute error
0.1222
Root mean prior squared error
0.4874
Root mean squared error
0.2072
Root relative squared error
0.425
SciMark benchmark
935.6292

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