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. 2021 Jul 30;12:704122. doi: 10.3389/fphys.2021.704122

FIGURE 4.

FIGURE 4

Performance of DL Model. (A) ROC curve is shown for FaST classification using DL model in the validation and testing cohorts. (B) ROC AUC is shown for DL and classic machine learning models. The error bars indicate standard deviation of different random seeds. (C) ROC AUC for DL is shown as a function of the training cohort size. (D) ROC curve is shown for FaST classification using DL model in a random sample of 50 periodic unipolar EGMs. The performance of two cardiologists for FaST re-classification is also plotted for comparison. AUC – area under curve; KNN – k nearest neighbor (either 10 or 50); LR – logistic regression; ROC – receiver operator characteristic; SVM – support vector machine (D refers to polynomial degree).