DEVELOPMENT... OpenML
Run
130468

Run 130468

Task 49 (Supervised Classification) tic-tac-toe Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I160
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.1703
Build memory
1420185037.1608
F measure
0.9362
Per class
Kappa
0.8573
KB relative information score
642.3093
Mean absolute error
0.1697
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
0.9397
Per class
Predictive accuracy
0.9374
Prior entropy
0.9312
Recall
0.9374
Per class
Relative absolute error
0.3746
Root mean prior squared error
0.4759
Root mean squared error
0.2405
Root relative squared error
0.5053
SciMark benchmark
939.0159

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