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>simple linear regression in some cases

You're correct, but "in some cases" is doing a lot of work here.

With the tooling where it's at, how much harder is it to apply xGBoost vs a linear model?




model.predict() is pretty easy to call, but judging the validity of the model is still hard and very manual. Linear model is less flexible and powerful, but easier to analyse/validate.




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