Data Science, Machine Learning, Regression, Evaluation Metric, Linear Regression.
the sum of the squared differences between true values and predicted values, and true values and the mean of the true values. In this formula, we calculate the ratio between the sum squared of residuals, and the total sum of squares, which measures the squared distance between each specific sample