Mu Tree Node in Classification Boosted tree method - Statistica General Discussion - Statistica - Dell Community

# Mu Tree Node in Classification Boosted tree method

#### Mu Tree Node in Classification Boosted tree method

Hello

I have a question regarding the calculation of Mu in tree nodes in Boosting tree method, on second step.

I want to understand how to get it manually. I did the first step successfully. But the first step algorythm used on step 2 doesn't give the same result as Statistica

In regression problem mu of node always equal to average residuals from the previous step, but in classification problem this idea does not provide desired result.

For example, on 2nd step I have dependent variable Y

 0.570947 -0.42905 0.570947 -0.42905 -0.42905 -0.42905 0.570947 0.119203 0.119203 0.119203

and independent X:

 98.655 98.701 98.399 98.032 97.962 98.981 94.024 99.41 100.327 99.014

after tree spliting, left node have only 1 point  and dependent variable is 0.570946. Why is mu in this node = 1.165356? May be I should calculate any coefficient? Or anything else?

Statistica project and data set are in attachment.