 |
According to Table 1.0, the hybrid model consistently yielded high scores across all metrics. We observed that the model was, on average, highly accurate in its predictions, as revealed by its recall, F1-score, and accuracy scores, despite a slight dip in precision. Additionally, the model proved reliable and reassuring because of its scores in FNR and FPR. Such low scores for both indicators proved that it could tell between the classes and avoid misclassifying them. According to the results, the model is well-suited for practical integration with real-world systems and applications.
|
IEEE/ICACT20260055 Slide.07
[Big Slide]