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. Author manuscript; available in PMC: 2022 Apr 1.
Published in final edited form as: Comput Methods Programs Biomed. 2021 Feb 9;202:105959. doi: 10.1016/j.cmpb.2021.105959

Table 7.

Confusion matrix and per-class performance achieved by the proposed method across all five-folds for the atrial fibrillation (AFIB) classification task on the 2017 PhysioNet/CinC Challenge database.

Predicted
Per-class Performance (%)
N A O ~ acc ppv sen spec
Actual N 4221 53 738 63 78.65 81.83 83.17 71.98
A 70 463 207 18 93.75 66.05 61.08 96.93
O 839 172 1348 53 75.83 57.51 55.89 83.70
~ 57 13 51 157 97.01 53.95 56.47 98.37

acc: accuracy; ppv: positive predictive value; sen: sensitivity; spec: specificity