Research Article
New Dandelion Algorithm Optimizes Extreme Learning Machine for Biomedical Classification Problems
Table 5
Results comparisons for biomedical classification.
| Datasets | Algorithms | Training | Testing | Rate (%) | Dev | Rate (%) | Dev |
| EEG | DA-ELM | 69.78 | 0.0052 | 70.22 | 0.0062 | ELM | 63.51 | 0.0167 | 63.74 | 0.0139 | PSO-ELM | 69.64 | 0.0069 | 70.06 | 0.0064 | BA-ELM | 68.19 | 0.0098 | 68.79 | 0.0078 | EFWA-ELM | 68.76 | 0.0068 | 68.82 | 0.0072 |
| Blood | DA-ELM | 79.81 | 0.0140 | 81.68 | 0.0133 | ELM | 80.64 | 0.0162 | 78.64 | 0.0133 | PSO-ELM | 80.83 | 0.0131 | 80.40 | 0.0141 | BA-ELM | 79.97 | 0.0174 | 80.16 | 0.0159 | EFWA-ELM | 80.70 | 0.0175 | 79.39 | 0.0154 |
| Statlog | DA-ELM | 86.22 | 0.0216 | 88.15 | 0.0175 | ELM | 87.11 | 0.0286 | 80.52 | 0.0268 | PSO-ELM | 86.74 | 0.0285 | 88.07 | 0.0228 | BA-ELM | 84.96 | 0.0257 | 87.26 | 0.0167 | EFWA-ELM | 87.11 | 0.0264 | 86.37 | 0.0177 |
| SPECT | DA-ELM | 81.35 | 0.0255 | 85.22 | 0.0243 | ELM | 80.68 | 0.0313 | 80.75 | 0.0245 | PSO-ELM | 81.95 | 0.0271 | 85.00 | 0.0370 | BA-ELM | 80.00 | 0.0286 | 84.25 | 0.0250 | EFWA-ELM | 80.98 | 0.0292 | 84.33 | 0.0354 |
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