Here I define a helper function that calculates $R^2$ score, It is defined as $$ R^2 = 1 \frac{SS_{res}}{SS_{tot}} = 1 \frac{\sum (y_i \hat{y}_i)^2}{\sum (y_i \bar{y})^2} $$ Where: $SS_{res}$ (Sum of Squared Residuals) represents the error variance o
Here I define a helper function that calculates $R^2$ score, It is defined as $$ R^2 = 1-\frac{SS_{res}}{SS_{tot}} = 1-\frac{\sum (y_i-\hat{y}_i)^2}{\sum (y_i-\bar{y})^2} $$ Where:-$SS_{res}$ (Sum of Squared Residuals) represents the error variance o
