[Retracted] Implementation of a Heart Disease Risk Prediction Model Using Machine Learning

Table 3

Classification model—prediction accuracy.

Machine learning classifier	Accuracy
	Training set (80%)	Test set (20%)
SVM	92.56	80.32
Gaussian Naive Bayes	86.77	78.68
Logistic regression	85.95	80.32
LightGBM	98.76	77.04
XGBoost	99.58	73.77
Random forest	100	88.5