balanced accuracy

Understanding Classification Metrics and the Challenge of Imbalance When building a classification model, evaluating its effectiveness requires robust metrics that accurately reflect its true performance. Many introductory machine learning projects rely solely on Overall accuracy, which measures the total proportion of correct predictions made across all classes. However, this standard measure becomes misleading when the […]