Research Article
The Optimization of Feature Selection Based on Chaos Clustering Strategy and Niche Particle Swarm Optimization
| Dataset | Method | Ave-size | Error rate (%) |
| German | All | 24 | 32 | NSGA-II | 12.5 | 31.27 | MOEA/D | 8.8 | 31.09 | CGNPSO | 8.58 | 31 |
| WBCD | All | 30 | 14 | NSGA-II | 15 | 7.2 | MOEA/D | 7.6 | 7.2 | CGNPSO | 7.1 | 7.02 |
| Ionosphere | All | 34 | 17.1 | NSGA-II | 15 | 12 | MOEA/D | 10 | 10.8 | CGNPSO | 8.8 | 10.48 |
| Wine | All | 13 | 37.8 | NSGA-II | 8.5 | 4.04 | MOEA/D | 8.0 | 3.77 | CGNPSO | 5.0 | 3.06 |
| Lung cancer | All | 56 | 30 | NSGA-II | 26.5 | 27.5 | MOEA/D | 24 | 26.7 | CGNPSO | 22.01 | 26.5 |
| Libras | All | 90 | 31.1 | NSGA-II | 45 | 27.8 | MOEA/D | 32.7 | 25.5 | CGNPSO | 31.1 | 25.46 |
| HillValley | All | 100 | 48.5 | NSGA-II | 48 | 42.5 | MOEA/D | 37.2 | 42.7 | CGNPSO | 37.05 | 42.4 |
| Musk1 | All | 166 | 16.08 | NSGA-II | 84.1 | 15.12 | MOEA/D | 78.9 | 14.36 | CGNPSO | 80.1 | 14.4 |
| Madelon | All | 500 | 29.1 | NSGA-II | 248.9 | 22.17 | MOEA/D | 240.1 | 22.98 | CGNPSO | 239.35 | 22.88 |
| Isolet5 | All | 617 | 1.55 | NSGA-II | 309.5 | 1.51 | MOEA/D | 300.2 | 1.49 | CGNPSO | 301.1 | 1.5 |
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