title: Catboost tuning order?
body: <p>So with Catboost you have parameters to tune and also iterations to tune. So for iterations you can tune using cross validation with the overfit detector turned on. And for the rest of the parameters you can use Bayesian/Hyperopt/RandomSearch/GridSearch. My question is which order to tune Catboost in. Should I tune the number of iterations first or the other parameters first. A lot of the parameters are kind of dependent on number of iterations, but also the number of iterations could be dependent on the parameters set. So any idea of which order is the proper way?</p>