[Retracted] An Intelligent and Reliable Hyperparameter Optimization Machine Learning Model for Early Heart Disease Assessment Using Imperative Risk Attributes

Table 7

Showing performance measures of the developed optimized heart disease models.

	Performance measures of the models
Models	TPR	TNR	Accuracy	Precision	Error rate	AUROC
Decision tree	83%	80%	82%	82%	5%	82%
K-NN	87%	81%	84%	83%	15%	85%
SVM	80%	82%	82%	86%	18%	82%
Random forest	87%	84%	87%	86%	13%	87%