Research Article
A Hybrid Least Square Support Vector Machine Model with Parameters Optimization for Stock Forecasting
Table 4
Results of eight different forecasting models.
| Model | NMSE | MAPE | HR |
| EMD-LSSVM (simplex) | 0.0253 | 0.79222% | 77.7778% | EMD-LSSVM (GS) | 0.0245 | 0.78834% | 79.798% | EMD-LSSVM (GA) | 2.5749 | 9.0641% | 42.4242% | EMD-LSSVM (PSO) | 9.4471 | 18.2733% | 40.404% | WD-LSSVM (simplex) | 0.0521 | 1.1772% | 65.6566% | WD-LSSVM (GS) | 0.0609 | 1.1357% | 61.6162% | WD-LSSVM (GA) | 0.0657 | 1.2997% | 62.6263% | WD-LSSVM (PSO) | 0.0910 | 1.5072% | 63.6364% |
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