Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise Testing

Table 1

Real labels of 24 young patients with stage I hypertension.

Sample	MBPB (mmHg)	MBPA (mmHg)	ri (%)	zi	Label
1	242	202	16.529	2.209	Strong
2	229	195	14.847	1.792	Strong
3	221	192	13.122	1.365	Strong
4	241	212	12.033	1.094	Strong
5	235	213	9.362	0.432	Strong
6	253	230	9.091	0.365	Strong
7	223	203	8.969	0.334	Strong
8	249	227	8.835	0.301	Strong
9	209	191	8.612	0.246	Strong
10	244	223	8.607	0.245	Strong
11	214	196	8.411	0.196	Strong
12	246	226	8.130	0.127	Strong
13	204	188	7.843	0.055	Strong
14	244	225	7.787	0.041	Strong
15	244	226	7.377	−0.060	Weak
16	231	214	7.359	−0.065	Weak
17	240	223	7.083	−0.133	Weak
18	231	215	6.926	−0.172	Weak
19	214	207	3.271	−1.079	Weak
20	221	214	3.167	−1.104	Weak
21	222	216	2.703	−1.220	Weak
22	211	208	1.422	−1.537	Weak
23	207	205	0.966	−1.650	Weak
24	207	208	0.483	−1.770	Weak