As data analysts, we know that no model is perfect. Residuals, the differences between observed and predicted values, offer valuable insights into the strengths and weaknesses of our models. Introducing the plot_regression_residuals() function from the tidyAML R package - a game-changer for visualizing regression residuals.
The latest release of the tidyAML R package improves access to model predictions.
The internal_make_wflw_predictions() function now returns a single tibble containing the original data, training predictions, and testing predictions. This makes it easy to evaluate model performance without extra wrangling to extract the predictions.