Smart Congestion Control in 5G/6G Networks Using Hybrid Deep Learning Techniques

Table 3

Proposed model training during the prediction of 5G congestion (Naïve Bayes).

Proposed model training
Input	Samples (5291)	Result
	Expected output	Predicted positive	Predicted negative
		True positive (TP)	False positive (FP)
	2383 positive	1911	472
		False negative (FN)	True negative (TN)
	2908 negative	182	2726