How you can use Conformalized Quantile Regression
We should know the way certain our mannequin is about its predictions to make well-informed selections. Therefore, returning solely a degree prediction will not be sufficient. It doesn’t inform us something about whether or not we will belief our mannequin or not. If you wish to know why, take a look at my article under.
Within the article, I exploit a classification drawback for example. Nevertheless, many real-world issues are regression issues. For instance, we wish to know the way sure a mannequin is when predicting tomorrow’s temperature.
Because the temperature is a steady variable, we wish to know wherein interval the true temperature will lie.
The broader the interval, the extra unsure the mannequin. Therefore, we should always belief it much less when making selections.
Two approaches come to thoughts. Both we use a set of fashions that predict the interval or we flip a degree prediction right into a…
