DEVELOPMENT... OpenML
Run
128666

Run 128666

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)_I20
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
0.8399
Per class
Build CPU time
0.0184
Build memory
693674995.9499
F measure
0.748
Per class
Kappa
0.4302
KB relative information score
295.2468
Mean absolute error
0.3181
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
0.7579
Per class
Predictive accuracy
0.762
Prior entropy
0.9312
Recall
0.762
Per class
Relative absolute error
0.7023
Root mean prior squared error
0.4759
Root mean squared error
0.3925
Root relative squared error
0.8248
SciMark benchmark
929.5397