Table 7.

The efficacy of various machine learning algorithm models.

	AUC	Accuracy	Sensitivity	Specificity	F1
LR
Train	0.811	0.801	0.723	0.841	0.737
Test	0.723	0.711	0.663	0.857	0.681
NN
Train	0.851	0.811	0.689	0.831	0.724
Test	0.861	0.828	0.716	0.837	0.767
RF
Train	0.741	0.788	0.632	0.743	0.661
Test	0.807	0.796	0.593	0.821	0.613
SVM
Train	0.756	0.721	0.754	0.756	0.673
Test	0.656	0.746	0.704	0.803	0.676

LR, Logistic regression; NN, Neural network; RF, Random forest; SVM, Support vector machine.