Table 1 Precision, recall, and F1-score for each class on the ECG datasets.

From: A hybrid learning framework for automated multiclass electrocardiogram classification with SimCardioNet

Class

Dataset I

Dataset II

Precision

Recall

F1-score

Precision

Recall

F1-score

ECG MI Patients

\(0.9795 \pm 0.0058\)

\(1.0000 \pm 0.0000\)

\(0.9896 \pm 0.0029\)

\(1.0 \pm 0.0\)

\(1.0 \pm 0.0\)

\(1.0 \pm 0.0\)

History of MI

\(0.9598 \pm 0.0147\)

\(0.9485 \pm 0.0090\)

\(0.9541 \pm 0.0115\)

\(1.0 \pm 0.0\)

\(1.0 \pm 0.0\)

\(1.0 \pm 0.0\)

Abnormal Heartbeat

\(0.9868 \pm 0.0105\)

\(0.9404 \pm 0.0234\)

\(0.9630 \pm 0.0167\)

\(1.0 \pm 0.0\)

\(1.0 \pm 0.0\)

\(1.0 \pm 0.0\)

Normal ECG

\(0.9724 \pm 0.0138\)

\(1.0000 \pm 0.0000\)

\(0.9860 \pm 0.0071\)

\(1.0 \pm 0.0\)

\(1.0 \pm 0.0\)

\(1.0 \pm 0.0\)