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Table 20:
Comparison in terms of testing error of our memetic algorithm using decision trees and SVMs. The table shows the win/loss record of each algorithm in the column against the algorithm in the row, the p-value of a two-tailed sign test on the win/loss record, ps, and the p-value of the Wilcoxon test, pw. Significant differences at a confidence level of 95% are marked with a tick (✓).
Compared MethodMemetic (C4.5)Compared MethodMemetic (SVM)
Testing error      
 C4.5 win/loss 25/27 SVM win/loss 21/30 
 ps 0.8899  ps 0.2624 
 R+/R 767.5/772.5  R+/R 717.0/823.0 
 pw 0.9833  pw 0.6570 
Classifiers size      
 C4.5 win/loss 51/4 SVM win/loss 55/0 
 ps 0.0000✓  ps 0.0000✓ 
 R+/R 113.0/1,427.0  R+/R 0.0/1,540.0 
 pw 0.0000✓  pw 0.0000✓ 
Compared MethodMemetic (C4.5)Compared MethodMemetic (SVM)
Testing error      
 C4.5 win/loss 25/27 SVM win/loss 21/30 
 ps 0.8899  ps 0.2624 
 R+/R 767.5/772.5  R+/R 717.0/823.0 
 pw 0.9833  pw 0.6570 
Classifiers size      
 C4.5 win/loss 51/4 SVM win/loss 55/0 
 ps 0.0000✓  ps 0.0000✓ 
 R+/R 113.0/1,427.0  R+/R 0.0/1,540.0 
 pw 0.0000✓  pw 0.0000✓ 
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