Data Science, Linear Regression, Machine Learning, Python, Numpy.
the model’s independent variables. It ranges from 0 to 1, with higher values indicating a better fit. To calculate R-squared, we can use the following formula: R-squared = 1 — (SSres / SStot) SSres is the sum of squares of the residuals (the differences between the predicted and actual values).