DEVELOPMENT... OpenML
Run
22402

Run 22402

Task 49 (Supervised Classification) tic-tac-toe Uploaded 21-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(1)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(1)_I40
weka.AdaBoostM1_OneR(1)_P100
weka.AdaBoostM1_OneR(1)_S1
weka.AdaBoostM1_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8884
Per class
F measure
0.7967
Per class
Kappa
0.5402
KB relative information score
368.6974
Mean absolute error
0.2884
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
0.8149
Per class
Predictive accuracy
0.809
Prior entropy
0.9312
Recall
0.809
Per class
Relative absolute error
0.6367
Root mean prior squared error
0.4759
Root mean squared error
0.3632
Root relative squared error
0.7633
SciMark benchmark
925.8907[547.9863625261552987.1695626777254471.76705325224475912.12245438067161710.4081426799883]