Summary
This chapter took a deep dive into the training and testing reports for your Predict Damage ML, Predict Size ML, and Predict Height ML models. In doing so, you reviewed the reports for all three types of ML models in Power BI: binary prediction, classification, and regression. You evaluated how well each of these models made predictions by reviewing the testing data in Power BI. You also explored lists of features that were highly predictive.
In the next chapter, you will modify the filter criteria and features selected for your ML models, with the goal of improving the predictive capabilities. Iterative training and testing are the best way to improve your ML models, and this process will help you prepare for your own Power BI ML projects beyond the scope of this book.
