D-Stat

D-Stat, or Discriminative Statistic, is a statistical measure used to evaluate how well a model or method can distinguish between different groups or categories in data. It quantifies the difference or separation between groups, helping researchers determine the effectiveness of a classification or discrimination process. Higher D-Stat values indicate clearer distinctions, meaning the model is better at separating the groups. It’s a useful tool in fields like machine learning, biology, and medicine to assess the performance of diagnostic tests, classifiers, or algorithms in correctly identifying or separating different classes.