Table 2.

DeLong test-based comparison of AUC between model 1 and model 2 across different algorithms.

Algorithm	Model 1 (AUC)	Model 2 (AUC)	DeLong Test (z)	p-value
LR	0.72	0.79	− 4.3391	< 0.001
Decision Tree	0.60	0.65	− 4.2912	< 0.001
Extra Trees	0.73	0.82	− 5.8787	< 0.001
Gradient Boosting	0.76	0.83	− 4.6764	< 0.001
KNN	0.68	0.76	− 4.9441	< 0.001
Naive Bayes	0.74	0.74	− 0.3877	0.698
Random Forest	0.74	0.82	− 5.9244	< 0.001
SVM	0.75	0.82	− 4.3505	< 0.001

LR Logistic Regression, KNN K-Nearest Neighbors, SVM Support Vector Machine, AUC area under the receiver operating characteristic curve.