Table 1 Performance comparison on breast cancer using various bio-inspired algorithms.
From: Bio inspired optimization techniques for disease detection in deep learning systems
Algorithm | Accuracy (%) | Precision (%) | Recall (%) | F1 Score (%) | Specificity (%) | Sensitivity (%) |
|---|---|---|---|---|---|---|
Particle Swarm Optimization (PSO)6 | 91.0 | 93.0 | 89.0 | 91.0 | 93.0 | 92.0 |
Artificial Bee Colony (ABC)12 | 88.0 | 90.0 | 86.0 | 88.0 | 90.0 | 90.0 |
Cuckoo Search (CS)34 | 87.0 | 89.0 | 85.0 | 87.3 | 89.1 | 83.0 |
Grey Wolf Optimizer (GWO)20 | 92.3 | 94.7 | 91.6 | 92.8 | 94.4 | 95.7 |
Dragonfly Algorithm (DA)49 | 91.6 | 92.5 | 88.6 | 91.5 | 92.7 | 93.5 |
Genetic Algorithms (GA)14 | 93.4 | 96.7 | 92.2 | 93.8 | 95.4 | 95.6 |
Ant Colony Optimization (ACO)60 | 89.9 | 91.5 | 83.6 | 89.5 | 86.9 | 90.4 |
Firefly Algorithm (FA)56 | 89.9 | 83.6 | 84.6 | 88.6 | 88.4 | 90.5 |
Bat Algorithm (BA)23 | 91.7 | 92.0 | 88.0 | 90.0 | 91.5 | 94.6 |
Whale Optimization Algorithm (WOA)27 | 91.5 | 93.5 | 89.9 | 91.2 | 93.5 | 91.7 |
