Research Article
Smart Congestion Control in 5G/6G Networks Using Hybrid Deep Learning Techniques
Table 4
Proposed model validation during the prediction of 5G congestion (Naïve Bayes).
| Proposed model validation |
| Input | Samples (2267) | Result | Expected output | Predicted positive | Predicted negative | | True positive (TP) | False positive (FP) | 1132 positive | 913 | 219 | | False negative (FN) | True negative (TN) | 1135 negative | 120 | 1015 |
|
|