Fig. 3 | Scientific Reports

Fig. 3

From: Integrating snapshot ensemble learning into masked autoencoders for efficient self-supervised pretraining in medical imaging

Fig. 3

Comparison of AUC, AUPRC, accuracy, sensitivity, precision, and F1-score for MAE (Scalo) and Snap-MAE (Scalo) models across different masking ratios on Lead II ECG signal. Each subplot shows a different metric (AUC, AUPRC, sensitivity, precision, and F1-score) with performance trends from 65 to 90% masking ratio, representing the consistent improvement of Snap-MAE over MAE across most settings.

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