Various Metric

The field of metric evaluation focuses on developing and assessing methods for quantifying the performance of models across diverse applications, from image captioning to climate modeling and safety-critical systems. Current research emphasizes the limitations of commonly used metrics, particularly their weak correlation with human judgment or their inadequacy in handling imbalanced data or censored information, leading to exploration of ensemble methods, novel metric designs (e.g., those based on pseudo-observations or incorporating user preferences), and alternative model evaluation frameworks grounded in decision theory. Improved metric development is crucial for ensuring reliable model assessment and facilitating advancements in various scientific domains and practical applications where accurate performance evaluation is paramount.