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

Table 4

F1-score 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	0.815	0.667	0.667	0.714	0.773
VE	0.903	0.741	0.640	0.581	0.593	0.692
VO2/kg	0.933	0.692	0.539	0.600	0.643	0.681
CO	0.923	0.692	0.571	0.667	0.828	0.736
HR	0.846	0.640	0.539	0.600	0.462	0.617
SV	0.667	0.667	0.552	0.645	0.621	0.630
VE/VCO2	0.778	0.667	0.600	0.606	0.581	0.646
VT	1.000	0.381	0.615	0.571	0.429	0.599
R	0.966	0.462	0.516	0.571	0.643	0.632