Machine Learning Results in R: one plot to rule them all! (Part 2 – Regression Models)

Given the number of people interested in my first post for visualizing Classification Models Results, I've decided to create and share some new function to visualize and compare whole Linear Regression Models with one line of code. These plots will help us with our time invested in model selection and a general understanding of our results. Where are we going with this post? Let's take a quick look at the final output: a quick nice dashboard with everything you'd need to compare and evaluate if your regression model is looking good, compare with others, or get working on further improvements. Interesting to say that, the exact same function mplot_full used before in the Part 1 – Classification Models post, will work on Regressions too lares::updateLares().