Assessing the Predict Height ML regression model
The Predict Height ML model is a regression model that’s designed to predict the height at which an aircraft was impacted by wildlife. The regression ML model predicts a numeric value representing height in feet from the ground, at which an impact happened based on the features in the report. Features such as Speed, Distance, and Phase of Flight were listed as top predictors.
80% of the variation in the testing results is explained by the model. Is 80% good? It depends on the use case and the requirements! If the variation (R squared) is 100%, then the ML model will give perfect predictions. 80% could indicate that the predictions are good but that independent and random variables might be 100% impossible. Or, maybe a higher value is possible and the data is either missing important features or measures are inaccurate.
In this use case, common sense dictates that explaining 100% of the variation would be impossible. You...
