. 2023 Dec 14;8(51):49037–49045. doi: 10.1021/acsomega.3c06756

Table 8. Algorithm Evaluation Metrics.

MLR
	train	test		train	test		train	test
R²	0.9999	0.9669	MAE^a	0.8827	18.8324	RMSE^b	1.2825	34.0633

SGD
	train	test		train	test		train	test
R²	0.9998	0.9658	MAE^a	2.0079	19.4297	RMSE^b	2.5765	34.6121

Mean absolute error.

Root mean squared error.