Research Article
A Novel Feature Selection Method Based on Extreme Learning Machine and Fractional-Order Darwinian PSO
Table 3
Minimum MSE values and the corresponding number of selected features.
| Dataset | Method | ELM_PSO | ELM_FS | SVM_FODPSO | RReliefF | ELM_FODPSO | all features |
| MSE N. feature | D1 | 0.0983∣8 | 0.0806∣27 | 0.0804∣14 | 0.0804∣26 | 0.0791∣11 | 0.0820∣30 | D2 | 0.2844∣9 | 0.2003∣1 | 0.2919∣9 | 0.2003∣1 | 0.1982∣1 | 0.3172∣10 | D3 | 0.0099∣5 | 0.0160∣11 | 0.0106∣7 | 0.0108∣6 | 0.0098∣5 | 0.0171∣12 | D4 | 0.0157∣8 | 0.0157∣9 | 0.0253∣20 | 0.0238∣18 | 0.0156∣7 | 0.0437∣53 | D5 | 0.0838∣8 | — | 0.0853∣7 | 0.0838∣8 | 0.0841∣6 | 0.0838∣8 | D6 | 0.0827∣10 | — | 0.0981∣7 | 0.1292∣1 | 0.0819∣9 | 0.1502∣13 | D7 | 0.0339∣9 | — | 0.0343∣6 | 0.0355∣12 | 0.0336∣8 | 0.0355∣12 |
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