Advances, Systems and Applications
Table 6 Results obtained for Netty 3.6.3 dataset
From: Cloud-based bug tracking software defects analysis using deep learning
MLP Model | Precision | Recall | F-Measure | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Â | True | False | Weighted Average | True | False | Weighted Average | True | False | Weighted Average |
H1=15 | 0.620 | 0.844 | 0.791 | 0.458 | 0.913 | 0.805 | 0.527 | 0.877 | 0.794 |
H2=5 | |||||||||
H1=25 | 0.597 | 0.847 | 0.788 | 0.476 | 0.900 | 0.800 | 0.530 | 0.873 | 0.791 |
H2=5 | |||||||||
H1=15 | 0.646 | 0.856 | 0.806 | 0.506 | 0.914 | 0.817 | 0.567 | 0.884 | 0.809 |
H2=10 | |||||||||
H3=5 | |||||||||
H1=30 | 0.620 | 0.846 | 0.794 | 0.456 | 0.914 | 0.808 | 0.534 | 0.879 | 0.797 |
H2=15 | |||||||||
H3=5 | |||||||||