Table 6. Evaluation performance of the ACS prediction model after feature selection and hybrid sampling.

Model	Accuracy	AUC	Precision	Recall	F1 score
Logistic Regression	83.0	89.9	58.8	80.8	60.3
Random Forest	98.6	99.9	89.0	98.3	93.1
Gradient Boosting	96.6	97.3	79.7	88.9	83.5
XGBoost	98.8	99.8	90.7	97.5	93.8
Deep Neural Network	98.1	99.6	85.4	99.0	90.9
1D-CNN	96.8	99.8	79.7	98.3	86.4