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