👉 Margin math, also known as margin calculation or buffer margin, is a statistical technique used to measure the robustness of a model's predictions by assessing how sensitive those predictions are to small changes in the input data. It involves calculating the difference between the predicted output and the actual value, often by considering the standard deviation or variance of the residuals. A larger margin indicates that the model's predictions are less affected by minor variations in input data, suggesting greater stability and reliability. Conversely, a smaller margin implies that the model's predictions are more sensitive to these variations, indicating potential instability. This metric is crucial in fields like finance and machine learning, where understanding the reliability of predictions under different conditions is essential.
