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