Research Article
An Innovative Excited-ACS-IDGWO Algorithm for Optimal Biomedical Data Feature Selection
Table 10
Using Wilcoxon’s rank-sum test at
to compare EACSIDGWO with other algorithms.
| | Dataset | Wilcoxon’s rank-sum test | EBCS vs EACSIDGWO | BACO vs EACSIDGWO | BGA vs EACSIDGWO | BPSO vs EACSIDGWO |
| | Ovarian Cancer | value | 0.000181651 | 0.000181651 | 0.000182672 | 0.000181651 | | value | 1.000000000 | 1.000000000 | 1.000000000 | 1.000000000 | | value | 3.743255786 | 3.743255786 | 3.741848283 | 3.743255786 |
| | Breast Cancer Wisconsin (diagnostic) | value | 0.022591996 | 0.000146767 | 0.017044126 | 0.000582314 | | value | 1.000000000 | 1.000000000 | 1.000000000 | 1.000000000 | | value | 2.28026466 | 3.796476695 | 2.38575448 | 3.439721266 |
| | Breast Cancer Wisconsin (prognosis) | value | 0.000730466 | 0.0001707 | 0.00073729 | 0.000174624 | | value | 1.000000000 | 1.0000000 | 1.00000000 | 1.000000000 | | value | 3.377881495 | 3.758843896 | 3.375323463 | 3.753152986 |
| | SPECTF Heart | value | 0.000321376 | 0.000176611 | 0.000176611 | 0.000177611 | | value | 1.000000000 | 1.000000000 | 1.000000000 | 1.000000000 | | value | 3.597430949 | 3.750317207 | 3.750317207 | 3.748901726 |
| | CNS | value | 0.000182672 | 0.000182672 | 0.000182672 | 0.000182672 | | value | 1.000000000 | 1.000000000 | 1.000000000 | 1.000000000 | | value | 3.741848283 | 3.741848283 | 3.741848283 | 3.741848283 |
| | COLON | value | 0.000182672 | 0.000182672 | 0.000182672 | 0.000181651 | | value | 1.000000000 | 1.000000000 | 1.000000000 | 1.000000000 | | value | 3.741848283 | 3.741848283 | 3.741848283 | 3.743255786 |
|
|
