在决策树上更改目标函数

Question

I'm trying to build a binary decision tree and only selecting nodes with a concentration of 75% (or greater) of target (Yes vs. No)

Only those whose nodes with 75% or greater will get the treatment.

Is there a method to change the decision tree objective to maximize the number of observations with at least 75% Yes (or some other number)?

I can mock up some code if that would help.

Answer 1

Do you want your decision tree to predict an outcome being greater than 75%? If so, create a column that is true when the target column is >.75 and use that column as the outcome

df$newOutcome <- df$oldOutcome > .75