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

Table 3

Accuracy of various machine learning models based on the data from the exercise phase of CPET.

Indicator	SRC-AL	SRC	1NN-DTW	RF	SVM	Mean
VO2/HR	1.000	0.792	0.625	0.583	0.667	0.733
VE	0.875	0.708	0.625	0.458	0.542	0.642
VO2/kg	0.917	0.667	0.500	0.500	0.583	0.633
CO	0.917	0.667	0.500	0.583	0.792	0.692
HR	0.833	0.625	0.500	0.500	0.417	0.575
SV	0.667	0.542	0.458	0.542	0.542	0.550
VE/VCO2	0.708	0.542	0.500	0.458	0.458	0.533
VT	1.000	0.458	0.583	0.500	0.333	0.575
R	0.958	0.417	0.375	0.500	0.583	0.567