Hi,
I am reading the source code of the Decision Tree Regressor in sklearn. To build a tree, there are two fashions: depth first and best first. Best first fashion is adopted only when user set max_leaf_nodes. Otherwise, the tree will be built using the DepthFirstTreeBuilder. My questions are: 1. Are there any practical considerations when to use depth-first or best-first? Dose the depth-first fashion has a overwhelming advantage / popularity compared with the best-first one which makes it a default choice? 2. I am kind of confused why using a optional parameter max_leaf_nodes to decide whether to use BestFirstTreeBuilder or not. I am wondering if there are some considerations when you decide to develop like this. Thanks! Best, Hanna
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