Research Article
An Extreme Learning Machine Based on Artificial Immune System
Table 2
Results of the five algorithms on eight benchmark classification datasets.
| Dataset | Algorithm | Training | Testing Accuracy (%) | Hidden | | | Time (s) | Means | StDev | Nodes |
| Ecoli | AIS-ELM | 2.232 | 87.087 | 1.32 | 20 | | DS-ELM | 2.523 | 86.352 | 1.43 | 20 | | PSO-ELM | 2.257 | 86.623 | 1.67 | 20 | | SaE-ELM | 2.608 | 85.985 | 1.78 | 20 | | ELM | 0.003 | 84.678 | 2.12 | 30 | Diabetes | AIS-ELM | 2.865 | 82.771 | 0.67 | 20 | | DS-ELM | 3.192 | 80.667 | 0.65 | 20 | | PSO-ELM | 3.993 | 80.123 | 0.53 | 20 | | SaE-ELM | 4.216 | 81.673 | 0.76 | 20 | | ELM | 0.004 | 78.984 | 1.21 | 30 | Epileptic | AIS-ELM | 80.379 | 83.412 | 0.78 | 150 | | DS-ELM | 82.458 | 82.345 | 0.95 | 150 | | PSO-ELM | 84.912 | 81.627 | 1.12 | 150 | | SaE-ELM | 84.233 | 81.765 | 1.05 | 150 | | ELM | 3.976 | 80.026 | 1.21 | 180 | Heart Disease | AIS-ELM | 10.923 | 80.234 | 1.53 | 20 | | DS-ELM | 11.329 | 79.637 | 1.56 | 20 | | PSO-ELM | 10.993 | 78.942 | 1.73 | 20 | | SaE-ELM | 12.265 | 78.762 | 1.69 | 20 | | ELM | 0.013 | 76.149 | 1,96 | 30 | Iris | AIS-ELM | 1.0835 | 96.921 | 0.35 | 20 | | DS-ELM | 1.255 | 96.488 | 0.69 | 20 | | PSO-ELM | 1.1315 | 96.124 | 0.83 | 20 | | SaE-ELM | 1.362 | 95.642 | 0.74 | 20 | | ELM | 0.001 | 93.439 | 1.26 | 30 | Glass | AIS-ELM | 2.632 | 68.453 | 1.67 | 20 | | DS-ELM | 3.026 | 65.345 | 1.89 | 20 | | PSO-ELM | 3.067 | 65.438 | 1.91 | 20 | | SaE-ELM | 3.036 | 65.087 | 2.23 | 20 | | ELM | 0.003 | 60.267 | 2.12 | 30 | Image | AIS-ELM | 29.221 | 94.55 | 0.659 | 90 | | DS-ELM | 31.976 | 93.78 | 0.528 | 90 | | PSO-ELM | 32.103 | 93.23 | 1.014 | 90 | | SaE-ELM | 32.641 | 92.11 | 0.832 | 90 | | ELM | 0.0493 | 92.56 | 0.783 | 120 | Satellite | AIS-ELM | 37.424 | 88.346 | 0.87 | 100 | | DS-ELM | 39.856 | 87.265 | 0.97 | 100 | | PSO-ELM | 39.613 | 86.795 | 1.08 | 100 | | SaE-ELM | 40.238 | 86.715 | 0.96 | 100 | | ELM | 0.0624 | 85.028 | 0.99 | 150 |
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