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Table 15:
Comparison of the performance of instance and feature selection methods in terms of the testing error, the storage requirements and the measure for large datasets using stratification. 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 IS+FS
Testing error   
 CHC IS+FS win/loss 18/11 
 ps 0.2649 
 R+/R 148.5/316.5 
 pw 0.0840 
Storage requirements   
 CHC IS+FS win/loss 30/0 
 ps 0.0000 ✓ 
 R+/R 0.0/45.0 
 pw 0.0000 ✓ 
   
 CHC IS+FS win/loss 23/7 
 ps 0.0052 ✓ 
 R+/R 82.0/383.0 
 pw 0.0020 ✓ 
Compared MethodMemetic IS+FS
Testing error   
 CHC IS+FS win/loss 18/11 
 ps 0.2649 
 R+/R 148.5/316.5 
 pw 0.0840 
Storage requirements   
 CHC IS+FS win/loss 30/0 
 ps 0.0000 ✓ 
 R+/R 0.0/45.0 
 pw 0.0000 ✓ 
   
 CHC IS+FS win/loss 23/7 
 ps 0.0052 ✓ 
 R+/R 82.0/383.0 
 pw 0.0020 ✓ 
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