Research Article
Smart Congestion Control in 5G/6G Networks Using Hybrid Deep Learning Techniques
Table 6
Performance of proposed system in training and validation using different statistical measures (Naïve Bayes).
| Naïve Bayes | Accuracy | Sensitivity TPR | Specificity TNR | Miss-rate (%) FOR | Fall-out FPR | LR+ | Lr- | PPV (precision) | NPV |
| Training | 0.876 | 0.913 | 0.852 | 0.916 | 0.148 | 6.168 | 1.075 | 0.802 | 0.937 | Validation | 0.851 | 0.884 | 0.823 | 0.149 | 0.178 | 4.966 | 0.181 | 0.806 | 0.894 |
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