Skip to main content
Fig. 1 | BMC Medical Research Methodology

Fig. 1

From: Comparison of discrimination and calibration performance of ECG-based machine learning models for prediction of new-onset atrial fibrillation

Fig. 1

A AUC values for the varying sample sizes (original event fraction in the training set). Error bars represent the 95% CI around the mean. B AUC values for the varying sample sizes (perfectly balanced training set). C ICI values for the varying sample sizes (original event fraction in the training set). D ICI values for the varying sample sizes (perfectly balanced training set)

Back to article page