Data Science, Machine Learning, Regression, Evaluation Metric, Linear Regression.
sum of the squared differences between true and predicted values n = Is the total number of data samples √ = Represents the square root function To simply explain the formula above, we obtain the squared differences between Yᵢ and Ŷᵢ. We sum them up, divide by the total number n of samples, and