Evaluating Trained and Tested ML Models

In Chapter 8 of this book, you built three ML models in Power BI. The models were trained and tested using FAA Wildlife Strike data and attempted to predict the following:

• Whether wildlife striking an aircraft caused damage
• The size of the wildlife that struck the aircraft
• The height at which the wildlife strike occurred

This chapter will review the results of the testing that Power BI does after training the ML models. After reviewing the testing results, you will make changes to the training data with the intent of improving predictive capabilities of the ML models. At the end of this chapter, all three ML models will be ready to deploy and configure for use with Power BI.