Summary:
- This article discusses the importance of visualizing the relationship between the true values and the predicted values in a statistical model.
- The author explains that plotting the truth vs. predicted value can help identify issues with the model, such as systematic biases or heteroscedasticity.
- The article provides examples of how to create these types of plots and how to interpret them to improve the model's accuracy and reliability.