1
$\begingroup$

Let's assume an extremely small dataset with only 4 observations. And I create a Random Forest model, with a quite large number of trees, say 200. If so, some sample sets that are the same each other can be used in fitting, right? Is it OK?

Even though a dataset is large, the same sample sets can be selected, theoretically. Do the Bootstrapping and Random Forest method not care at all or have a step to avoid such duplicates?

$\endgroup$

0

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Browse other questions tagged or ask your own question.