Evaluating a classification model is fairly straightforward and simple. You just count how many of the classifications the model got right and how many it didn’t. Evaluating a regression model is not that straightforward, at least from my perspective. One of the useful metric that is used by a majority of the implementations is R-squared. What is R-squared? R-squared is a goodness-of-fit test in order to evaluate how good your model fits the data. It is also known as the coefficient of dete...
