Table 12.
The average classification rates are obtained by seven algorithms on twenty-one selected datasets
| Dataset | BOA | SOA | HHO | m-HHO | EEGWO | ISCA | VGHHO |
|---|---|---|---|---|---|---|---|
| Breastcancer | 0.9696 | 0.9710 | 0.9736 | 0.9760 | 0.9668 | 0.9768 | 0.9822 |
| BreastEW | 0.9572 | 0.9750 | 0.9587 | 0.9617 | 0.9483 | 0.9519 | 0.9736 |
| Clean1 | 0.8938 | 0.9363 | 0.8421 | 0.9333 | 0.8683 | 0.8875 | 0.9366 |
| Clean2 | 0.9685 | 0.9783 | 0.9722 | 0.9740 | 0.9669 | 0.9626 | 0.9759 |
| CongressEW | 0.9720 | 0.9720 | 0.9693 | 0.9770 | 0.9627 | 0.9604 | 0.9846 |
| Exactly | 0.7818 | 0.9061 | 0.7167 | 0.7117 | 0.7596 | 0.6909 | 0.9178 |
| Exactly2 | 0.7646 | 0.7606 | 0.7433 | 0.7617 | 0.7606 | 0.7576 | 0.7697 |
| HeartEW | 0.8165 | 0.8277 | 0.8184 | 0.8272 | 0.8090 | 0.8352 | 0.8642 |
| IonosphereEW | 0.8986 | 0.9478 | 0.9190 | 0.9190 | 0.8898 | 0.9275 | 0.9333 |
| KrvskpEW | 0.9149 | 0.9813 | 0.9515 | 0.9588 | 0.8789 | 0.9408 | 0.9760 |
| Lymphography | 0.8611 | 0.9097 | 0.7701 | 0.9080 | 0.8681 | 0.8750 | 0.9136 |
| M-of-n | 0.8242 | 0.9586 | 0.8550 | 0.9067 | 0.8020 | 0.8858 | 0.9200 |
| PenglungEW | 0.9028 | 0.9583 | 0.9286 | 0.9286 | 0.8750 | 0.9167 | 0.9583 |
| Semeion | 0.9708 | 0.9853 | 0.9811 | 0.9895 | 0.9695 | 0.9803 | 0.9860 |
| SonarEW | 0.9069 | 0.9461 | 0.9187 | 0.9593 | 0.8922 | 0.8529 | 0.9293 |
| SpectEW | 0.8446 | 0.8598 | 0.8930 | 0.8868 | 0.8485 | 0.8788 | 0.8977 |
| Tic-tac-toe | 0.7384 | 0.7700 | 0.7801 | 0.7853 | 0.7584 | 0.7690 | 0.8083 |
| Vote | 0.9562 | 0.9596 | 1.0000 | 1.0000 | 0.9360 | 0.9528 | 1.0000 |
| WaveformEW | 0.7400 | 0.7998 | 0.7440 | 0.7703 | 0.7384 | 0.7331 | 0.7739 |
| WineEW | 0.9712 | 0.9827 | 0.9333 | 1.0000 | 0.9712 | 0.9712 | 1.0000 |
| Zoo | 0.9596 | 0.9596 | 0.9500 | 0.9833 | 0.9596 | 0.8990 | 0.9866 |
| Average ranking | 5.17 | 2.60 | 4.57 | 2.83 | 6.07 | 5.24 | 1.52 |
| Total ranking | 5 | 2 | 4 | 3 | 7 | 6 | 1 |
The best value of each function is highlighted in bold in the table