Table 16. Prediction results with different methods on the ZW225 dataset using jackknife test.
| Methods | Jackknife test (%) | ||||
|---|---|---|---|---|---|
| Sensitivity for each class | |||||
| Cy | Me | Mi | Nu | OA | |
| ID_SVM [34] | 92.9 | 91.0 | 68.0 | 73.2 | 85.8 |
| DF_SVM [45] | 87.1 | 92.1 | 64.0 | 73.2 | 84.0 |
| FKNN [35] | 84.3 | 93.3 | 72.0 | 85.5 | 85.8 |
| EN_FKNN [47] | 94.3 | 94.4 | 60.0 | 80.5 | 88.0 |
| DWT_SVM [36] | 87.1 | 93.2 | 64.0 | 90.2 | 87.6 |
| Liu et al. [38] | 97.1 | 98.9 | 96.0 | 97.6 | 97.8 |
| Auto_Cova [37] | 81.3 | 93.3 | 85.7 | 84.6 | 87.1 |
| EBGW_SVM [33] | 90.0 | 93.3 | 60.0 | 63.4 | 83.1 |
| Dual-layer SVM [49] | 91.4 | 94.4 | 76.0 | 78.1 | 88.4 |
| PseAAC-PsePSSM-WD | 100 | 100 | 100 | 100 | 100 |