Parameters optimisation

Good afternoon,

I am implementing the Random Forest model, the Gradient Boosting model and the Naive Bayes model to build a binary prediction model.

I would like know if anyone knows realiable literature where I can find which parameters should I optimise in each model and the range values of these parameters. I have found a lot fo workflows regarding parameter optimisation, but non of them specifies why they have chosen those values. Moreover, the values used vary a lot from different workflows.

Thank you very much!

Hi @helfortuny ,
We do have a blog on Parameter optimization.

Let us know if you have any other questions.


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