Table 6 Performance comparison on COVID disease 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 | 88.0 | 89.0 | 88.0 | 93.0 | 91.3 |
Artificial Bee Colony (ABC)12 | 90.0 | 87.1 | 88.3 | 87.4 | 92.3 | 82.6 |
Cuckoo Search (CS)34 | 89.1 | 86.1 | 87.0 | 86.0 | 91.0 | 90.4 |
Grey Wolf Optimizer (GWO)20 | 92.0 | 89.0 | 90.0 | 89.0 | 94.0 | 81.3 |
Dragonfly Algorithm (DA)49 | 88.1 | 85.6 | 86.4 | 85.7 | 90.4 | 82.6 |
Genetic Algorithms (GA)14 | 87.0 | 84.0 | 85.0 | 84.0 | 89.0 | 85.0 |
Ant Colony Optimization (ACO)60 | 88.0 | 85.0 | 86.0 | 85.0 | 90.0 | 82.6 |
Firefly Algorithm (FA)56 | 89.1 | 86.4 | 87.0 | 86.0 | 91.0 | 84.6 |
Bat Algorithm (BA)23 | 88.0 | 85.0 | 86.0 | 85.0 | 90.0 | 89.1 |
Whale Optimization Algorithm (WOA)27 | 91.0 | 88.0 | 89.0 | 88.0 | 93.0 | 88.7 |
