Data Science, Machine Learning, Regression, Evaluation Metric, Linear Regression.
values Σ = Is the sum of the squared differences between true and predicted values n = Is the total number of data samples The MSE score is calculated by computing the differences between the true value Yᵢ and predicted value Ŷᵢ. The differences are then squared, so we eliminate negative residuals,