Table 7 Comparison of the classification accuracy between the existing models and the best combination of features that produced by AMSKF technique on eye event-related EEG data
Peak model | Feature subset length | Selected features | Training accuracy (%) | Testing accuracy (%) |
|---|---|---|---|---|
Dumpala | 4 | f 1, f 6, f 13, f 14 | 80.9 | 51.5 |
Acir | 6 | f 1, f 2, f 7, f 8, f 13, f 14 | 76.3 | 52.2 |
Liu | 11 | f 1, f 2, f 3, f 4, f 6, f 9, f 12, f 13, f 14, f 15, f 16 | 77.2 | 48.2 |
Dingle | 4 | f 5, f 6, f 13, f 14 | 71.4 | 40.1 |
AMSKF (proposed work) | 11 | f 1, f 2, f 7, f 8, f 9, f 10, f 11, f 12, f 13, f 14, f 15 | 91.8 | 72.7 |