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At the risk of making the module on linear models too long, I still have the feeling that the "Regularization in linear model" section could have an exercise on regression and/or a notebook on classification. My proposal is this:
Add a completely new notebook on regression
Transform the current classification exercise into a notebook
Add a new exercise on classification to replace the previous one
Inspired by #785, I think we can showcase how the optimal regularization parameter depends on the scoring metric passed to the grid/random search. This can be the new exercise for either regression or classification.
The text was updated successfully, but these errors were encountered:
At the risk of making the module on linear models too long, I still have the feeling that the "Regularization in linear model" section could have an exercise on regression and/or a notebook on classification. My proposal is this:
Inspired by #785, I think we can showcase how the optimal regularization parameter depends on the
scoring
metric passed to the grid/random search. This can be the new exercise for either regression or classification.The text was updated successfully, but these errors were encountered: