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Run
18647

Run 18647

Task 49 (Supervised Classification) tic-tac-toe Uploaded 11-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_SMO_PolyKernel(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_SMO_PolyKernel(1)_I10
weka.AdaBoostM1_SMO_PolyKernel(1)_P100
weka.AdaBoostM1_SMO_PolyKernel(1)_S1
weka.AdaBoostM1_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

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
0.9971
Per class
F measure
0.9811
Per class
Kappa
0.9581
KB relative information score
900.882
Mean absolute error
0.0272
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
0.9815
Per class
Predictive accuracy
0.9812
Prior entropy
0.9312
Recall
0.9812
Per class
Relative absolute error
0.0601
Root mean prior squared error
0.4759
Root mean squared error
0.128
Root relative squared error
0.269
SciMark benchmark
943.2867[566.4958240211141013.3868112175512482.3638387076229904.880888052811749.3060121829703]