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. Author manuscript; available in PMC: 2023 Aug 1.
Published in final edited form as: Circ Arrhythm Electrophysiol. 2022 Jul 22;15(8):e010850. doi: 10.1161/CIRCEP.122.010850

Figure 2. Clinical feature-based model interpretation.

Figure 2.

Importance of clinical features in predicting AF recurrence using the CatBoost classifier (averaged across 10 folds). The five most important features are: left ventricular ejection fraction (LVEF), height, body mass index (BMI), weight, left atria volume from CT, and left atria surface area from CT.