Description Usage Arguments Value
Calcuates variable importance measures for a random forest object. Input must be an object from the random forest function Build.RF.ITR.
1 2 | Variable.Importance.ITR(RF.fit, n0 = 2, sort = T, details = F,
truncate.zeros = T, depth = 1)
|
RF.fit |
forest object from Build.RF.ITR. Required input. |
n0 |
minimum number of treatment/control observations needed in a split to call a node terminal. Defaults to 2. |
sort |
sort the variable importance measure? Defaults to TRUE. |
details |
print details. Defaults to FALSE. |
truncate.zeros |
sets variable importances less than 0 to 0. Defaults to TRUE. |
n0 |
minimum number of treatment/control observations needed in a split to call a node terminal. Defaults to 5. |
summary of tree performance
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.