EURASIP Journal on Wireless Communications and Networking

Table 6 The 5GMLR assessment for Y = Delay

From: Performance prediction and enhancement of 5G networks based on linear regression machine learning

Predictor variables	Error measurers			Accuracy (%)
Predictor variables	MAE	MSE	RMSE	Accuracy (%)
Y = θ₀ + θ₁n28 + θ₂RMa + θ₃N_UEs	7.01E−03	8.02E−05	0.008957	94.0619
Y = θ₀ + θ₁n258 + θ₂RMA + θ₃N_UEs	2.01E−07	4.62E−14	2.15E-07	99.99999
Y = θ₀ + θ₁n28 + θ₂UMA + θ₃N_UEs	0.007373	8.44E−05	0.009187	93.9963
Y = θ₀ + θ₁n258 + θ₂UMa + θ₃N_UEs	0.003911	2.07E–05	0.004548	93.9963
Y = θ₀ + θ₁n28 + θ₂UMi + θ₃N_UEs	0.007012	8.02E−05	0.008957	94.0619
Y = θ₀ + θ₁n258 + θ₂UMi + θ₃N_UEs	0.020322	0.000441	0.020999	94.0619

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