Regression Experiments with ML.NET AutoML
In the last chapter, we saw how machine learning classification can predict a categorical value and how that’s helpful for determining what category a new piece of data fits into.
In this chapter, we’ll see how machine learning can be used in regression experiments to predict numerical values and how to accomplish this in ML.NET using AutoML.
Since regression experiments are so similar to classification experiments, we’ll also be exploring more advanced ways of splitting data for training and testing by talking about cross-validation.
In this chapter, we’ll explore the following topics:
- Understanding regression
- Performing a regression experiment
- Interpreting cross-validation results
- Evaluating regression metrics
- Applying a regression model
