Predicting high blood pressure using machine learning models in low- and middle-income countries

Table 6 Global model results

Model	Accuracy	F1	Precision	Recall
Logistic Regression	0.682000	0.671893	0.675080	0.670566
KNN	0.632135	0.623198	0.623900	0.622770
Random Forest	0.681374	0.666707	0.675614	0.665052
XGBoost	0.685157	0.674266	0.678514	0.672741
FCNN	0.682490	0.676615	0.676402	0.676859

ISSN: 1472-6947