Balanced Accuracy is a metric used to evaluate the performance of a classification model, particularly in situations where the classes are imbalanced. It is calculated as the average of sensitivity (true positive rate) and specificity (true negative rate), providing a more informative measure than overall accuracy in such scenarios.