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. Author manuscript; available in PMC: 2020 Sep 28.
Published in final edited form as: Proc Mach Learn Res. 2020 Aug;126:479–507.

Table 5:

Attention network performance of DL2 (Class balance) model on the Duke dataset and the Helsinki dataset, as measured by averaged AUC (SD in parentheses). Computation of “Attention AUC” used agreement between each thresholded score and human annotations per channel per epoch; “Attention AUC per epoch” uses agreement of at least one channel score exceeding threshold with human annotation.

Dataset Attention AUC Attention AUC per epoch
Duke dataset 0.811 (0.096) 0.927 (0.058)
Helsinki dataset 0.701 (0.107) 0.807 (0.167)