Random Forests – Missing Data

Welcome to your Random Forests - Missing Data

What method does a random forest use to make an intial guess for missing values in the training data?
After the initial guess for missing values in the training data, the missing value is then imputed based on the
Proximity used in Random Forest imputation is based on
What is the first step for scoring new observations with missing data?

Leave a Reply

Your email address will not be published. Required fields are marked *