Re: [ML] Stop conditions for RandomForest

To me, they are. Y is used to control if a split is a valid candidate when deciding which one to follow. X is used to make a node a leaf if it has too few elements to even consider candidate splits. 颜发才(Yan Facai) wrote: It seems that split will always stop when count of nodes is less than

Re: [ML] Stop conditions for RandomForest

It seems that split will always stop when count of nodes is less than max(X, Y). Hence, are they different? On Tue, Jun 27, 2017 at 11:07 PM, OBones wrote: > Hello, > > Reading around on the theory behind tree based regression, I concluded > that there are various reasons to

[ML] Stop conditions for RandomForest

Hello, Reading around on the theory behind tree based regression, I concluded that there are various reasons to stop exploring the tree when a given node has been reached. Among these, I have those two: 1. When starting to process a node, if its size (row count) is less than X then consider