Table 4 Specific purity values for DEPL.
From: Hybrid YSGOA and neural networks based software failure prediction in cloud systems
S no | Algorithm | DEPL purity value |
|---|---|---|
1 | K-medoids without fine-tuning | 0.7 |
2 | K-medoids with fine-tuning | 0.74 |
3 | DEC | 0.86 |
4 | Proposed YSGA-GOANet | 0.89302 |
