Table 3.

Evaluation results of different models without optimization.

Algorithm	Features	Scaling	MAE	RMSE	MAPE	R2 Score
SVR	All	No	219.34	268.44	1.248	−0.169
	All	Yes	222.42	272.13	1.265	−0.201
	Selected	No	219.07	268.10	1.247	−0.166
	Selected	Yes	221.16	270.84	1.259	−0.190
Random forest	All	No	30.61	33.40	0.116	0.982
	All	Yes	40.75	46.53	0.181	0.965
	Selected	No	28.66	32.02	0.105	0.983
	Selected	Yes	38.39	44.62	0.174	0.968
XGBoost	All	No	27.81	37.14	0.068	0.978
	All	Yes	35.81	43.88	0.095	0.969
	Selected	No	26.62	31.84	0.073	0.984
	Selected	Yes	31.93	42.98	0.099	0.978
GAN	All	Yes	0.341	0.402	0.231	0.952
	Selected	Yes	0.067	0.074	0.078	0.982