TABLE 12.

Assessing the efficacy of our novel model against various machine learning methods using the MIT‐BIH Arrhythmia dataset.

Methods	Accuracy (%)	Precision (%)	Recall (%)	F1 score (%)
Gaussian Naive Bayes	67.0	67.4	67.0	66.8
Logistic regression	67.42	67.4	68.0	67.4
Decision trees	94.4	94.4	94.2	94.4
Linear support vector machine	94.4	94.4	94.2	94.4
Support vector machine	96.18	96.4	96.2	96.0
K nearest neighbors	97.22	97.4	97.2	97.2
Random forest	98.24	98.4	98.2	98.2
Proposed LDCNN	99.38	99.6	99.4	99.6

The bolding indicates that these results are particularly noteworthy and represent key findings of our study.