Constructing a prediction model for delayed wound healing after gastric cancer radical surgery based on three machine learning algorithms

Table 5 Comparison of performance metrics under the clinical threshold corresponding to the maximized Youden index of the three machine learning models

Datasets	Prediction models	Precision	Accuracy	Recall	F1 index	Youden index	Best threshold
Training set	Decision tree	0.657	0.867	1.000	0.793	0.822	0.130
	Logistic regression	0.641	0.856	0.989	0.778	0.800	0.192
	SVM	0.641	0.856	0.989	0.778	0.800	0.173
Validation set	Decision tree	0.667	0.888	1.000	0.800	0.856	0.219
	Logistic regression	0.611	0.855	0.971	0.750	0.793	0.168
	SVM	0.750	0.921	0.971	0.846	0.877	0.195

SVM: Support vector machine.