Data Science, Machine Learning, Regression, Evaluation Metric, Linear Regression.
(MSE) is another extremely popular metric used to evaluate regression models. Here’s its formula: MSE = Σ(Yᵢ — Ŷᵢ)² ÷ n Where: Yᵢ = Represents the true value for the iᵗʰ sample Ŷᵢ = Represents the predicted value for iᵗʰ sample (…)² = Represents the squared difference between true and predicted