Research Article
Dynamic Multi-Swarm Differential Learning Quantum Bird Swarm Algorithm and Its Application in Random Forest Classification Model
Table 12
Comparison of numerical testing results on eight UCI datasets.
| Dataset | RF (%) | BSA-RF (%) | DMSDL-BSA-RF (%) | DMSDL-QBSA-RF (%) |
| Blood | 75.40 | 80.80 | 79.46 | 81.25 | Heart-statlog | 82.10 | 86.42 | 86.42 | 86.42 | Sonar | 78.39 | 85.48 | 85.48 | 88.71 | Appendicitis | 83.23 | 87.10 | 90.32 | 93.55 | Cleve | 79.55 | 87.50 | 88.64 | 89.77 | Magic | 88.95 | 89.85 | 90.25 | 89.32 | Mammographic | 74.73 | 77.68 | 76.79 | 79.46 | Australian | 85.83 | 88.84 | 88.84 | 90.78 |
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