Deep Learning Model for Predicting Rhythm Outcomes after Radiofrequency Catheter Ablation in Patients with Atrial Fibrillation

Table 2

Quantitative evaluation results of the proposed model for 4-fold cross-validation.

	AUROC	F1 score	Sensitivity	Specificity	Accuracy
Fold 1	0.760	0.615	0.727	0.781	0.767
Fold 2	0.803	0.640	0.727	0.812	0.791
Fold 3	0.766	0.640	0.727	0.812	0.791
Fold 4	0.735	0.629	0.786	0.706	0.729
Mean	0.766	0.633	0.745	0.777	0.768

The mean values are indicated in bold.