Enhancing Classification Accuracy: A Comparative Study of Network Models

To enhance classification accuracy, this study presents a comparative analysis of a novel network model against a classical approach. Both models were trained and tested using the same dataset to ensure a fair comparison. The results, as illustrated in Table 3, demonstrate that the proposed network model achieves a superior balance of specificity and sensitivity compared to the classical approach. This indicates its effectiveness in accurately classifying data while minimizing both false positive and false negative rates.