Table 8.

MAE of systolic blood pressure (SBP) and diastolic blood pressure (DBP) for different machine learning (ML) techniques in Experiment 1.

Fixed Parameters	Regressor Algorithm	MAE for SBP	MAE for DBP
Encoder Type: U-Net Encoder Depth: 1 Encoder Width: 128 Kernel Size: 3 No. of Channels: 4 No. of Extracted Feature: 1024	MLP	2.333	0.713
	GradBoost	5.837	1.418
	SGD	5.945	2.261
	SVM	5.980	2.269
	XGBoost	6.089	1.429
	K-Nearest Neighbor	6.543	1.510
	AdaBoost	8.584	2.234