Table 6.
Selected features and training accuracy for different branches of the proposed classification with different kernel functions for both cases.
| Case 1 | Branch #1 | Branch #2 | Branch #3 | Branch #4 | Branch #5 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Best Features | f11 | f12 | A(%) | f21 | f22 | A(%) | f31 | f32 | A(%) | f42 | f42 | A(%) | f51 | f52 | A(%) |
| RBF | SD(x) | ApEn(zN) | 98 | SD(y) | Mean(Mag) | 100 | SD(y) | SD(x) | 100 | E(yd) | SD(x) | 100 | SD(y) | P(z) | 100 |
| Linear | Max(x) | Mean(x) | 93 | Max(Mag) | Mean(Mag) | 97 | P(z) | E(Mag) | 100 | Max(x) | ApEn(zN) | 100 | SD(y) | P(y) | 100 |
| Polynomial | SD(x) | ApEn(xd) | 97 | SD(y) | P(y) | 100 | SD(y) | SD(x) | 100 | SD(y) | Max(Mag) | 100 | SD(z) | SD(y) | 100 |
| Case 2 | Branch #1 | Branch #2 | Branch #3 | Branch #4 | Branch #5 | ||||||||||
| Best Features | f11 | f12 | A(%) | f21 | f22 | A(%) | f31 | f32 | A(%) | f42 | f42 | A(%) | f51 | f52 | A(%) |
| RBF | Corr(x,y) | E(yd) | 92 | Max(y) | Mean(y) | 94 | E(yd) | ApEn(zN) | 98 | Mean(x) | ApEn(yN) | 99 | Max(y) | Max(Mag) | 99 |
| Linear | ApEn(zN) | SD(x) | 81 | SD(y) | Mean(Mag) | 86 | P(z) | E(Mag) | 94 | E(yd) | ApEn(yN) | 97 | Max(y) | P(z) | 99 |
| Polynomial | ApEn(zN) | P(y) | 89 | SD(y) | SD(x) | 90 | P(z) | SD(y) | 95 | Mean(y) | P(z) | 97 | SD(z) | SD(y) | 99 |