Research Article
Software Defect Prediction Based on Hybrid Swarm Intelligence and Deep Learning
Table 13
PC6 experimental results.
| | | Precision | Recall rate | F-measure | AUC |
| | Grid | 0.13 | 0.09 | 0.11 | 0.54 | | Grid + self-encoding | 0.42 | 0.27 | 0.33 | 0.63 | | Random | 0.51 | 0.38 | 0.42 | 0.68 | | Random + self-encoding | 0.70 | 0.45 | 0.53 | 0.71 | | PSO | 0.71 | 0.49 | 0.57 | 0.73 | | PSO + self-encoding | 0.72 | 0.53 | 0.61 | 0.75 | | WPA | 0.72 | 0.53 | 0.61 | 0.75 | | WPA + self-encoding | 0.73 | 0.56 | 0.63 | 0.77 | | WPA_PSO | 0.73 | 0.55 | 0.62 | 0.76 | | WPA_PSO + self-encoding | 0.74 | 0.56 | 0.64 | 0.77 |
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