gbm3 | Gradient boosted models | Development Tools library
kandi X-RAY | gbm3 Summary
kandi X-RAY | gbm3 Summary
gbm3: generalized boosted models ----0------------------------. Originally written by Greg Ridgeway, added to by various authors, currently maintained by Harry Southworth. Development is discussed --- somewhat --- at . This is the shiny new gbm3 package that is not backwards compatible, but is fast and parallel and --- to some extent --- developed.
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QUESTION
I would like to know how ErrorReduction is calculated in pretty.gbm.tree function: https://github.com/gbm-developers/gbm3/blob/62c8dafd87b16fe1d2079cdd5058169f1f08967b/R/pretty-gbm-tree.r#L32
This post helped me a lot, but did not quite answer my question. Understanding tree structure in R gbm package
Here is an output of pretty.gbm.tree function for the first tree: output table
How this value of 19167.524 was calculated?
Thanks
...ANSWER
Answered 2017-May-23 at 14:44The ErrorReduction is calculated as following:
number of samples in a current node * mse - number of samples in the left child node * mse - number of samples in the right child node *mse
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