title: Cross-validation and Random forests
body: <p>I'm using Random forests to predict labels in my dataset. My question is: Does it make sense to do a 10-fold cross-validation using random forest? Intuitively I can say that Random forests do cross-validation on their own-So would there be any benefit to doing cross-validation and building a random forest classifier in each split?</p>