Research Article
Software Defect Prediction Based on Hybrid Swarm Intelligence and Deep Learning
Table 14
PU1 experimental results.
| | Precision | Recall rate | F-measure | AUC |
| Grid | 0.56 | 0.15 | 0.21 | 0.57 | Grid + self-encoding | 0.83 | 0.24 | 0.34 | 0.62 | Random | 0.75 | 0.24 | 0.34 | 0.62 | Random + self-encoding | 0.87 | 0.43 | 0.56 | 0.71 | PSO | 0.81 | 0.44 | 0.56 | 0.71 | PSO + self-encoding | 0.86 | 0.49 | 0.61 | 0.74 | WPA | 0.85 | 0.50 | 0.62 | 0.75 | WPA + self-encoding | 0.91 | 0.53 | 0.67 | 0.76 | WPA_PSO | 0.86 | 0.55 | 0.67 | 0.77 | WPA_PSO + self-encoding | 0.87 | 0.58 | 0.69 | 0.79 |
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