Challenges in Model Evaluation: Addressing Inconsistent Ranking Due to Accuracy Index Variation

While methodological objectivity is paramount, the inherent variation in emphasis and clinical significance attributed to different accuracy indices presents a significant challenge. This variation often leads to inconsistent ranking of model evaluation results, thereby complicating the process of clinical evaluation and subsequent model deployment. Further research is necessary to establish standardized guidelines for accuracy index selection and interpretation to mitigate the impact of this inconsistency on model evaluation and deployment.