Research Article
Least Absolute Deviation Support Vector Regression
| Noise | Algorithm | RMSE | MAE | SSE/SST | SSR/SST |
| Type I | LS-SVR | 0.0863 | 0.0676 | 0.0720 | 1.0761 | LAD-SVR | 0.0455 | 0.0364 | 0.0209 | 1.0082 |
| Type II | LS-SVR | 0.0979 | 0.0795 | 0.0944 | 0.9374 | LAD-SVR | 0.0727 | 0.0607 | 0.0527 | 1.0224 |
| Type III | LS-SVR | 0.0828 | 0.0665 | 0.0664 | 1.1137 | LAD-SVR | 0.0278 | 0.0223 | 0.0078 | 1.0044 |
| Type IV | LS-SVR | 0.0899 | 0.0707 | 0.0772 | 0.9488 | LAD-SVR | 0.0544 | 0.0439 | 0.0291 | 1.0003 |
| Type V | LS-SVR | 0.2120 | 0.1749 | 0.4268 | 0.7142 | LAD-SVR | 0.1861 | 0.1554 | 0.3372 | 0.7291 |
| Type VI | LS-SVR | 0.1796 | 0.1498 | 0.3112 | 0.9709 | LAD-SVR | 0.1738 | 0.1391 | 0.2928 | 0.8993 |
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