[R] re gression trees: mean square vs. absolute errors

From: lubaroz <tutanga_at_gmail.com>
Date: Tue, 25 Mar 2008 04:46:29 -0700 (PDT)

I am working with CART regression now. Could anyone tell me in which cases it is better to use mean square error for splitting nodes and when mean absolute error should be preferred.
I am now using the default (MSE) version and I can see that the obtained optimal tree is very different from the tree with the least mean absolute error.

Thanks in advance,

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