Does Random Forest algorithm face overfitting issues? Why?

Hi,

I know that decision tree has over fitting issues. Do these issue also manifest with Random forest algorithm?

Since Random forest predicts output based on multiple trees, I am not sure whether they would overfit. Please help.

Regards,
Ravi

Ravi,

Random Forests are link blackboxes, you would get a good outcome for a set of data, but you don’t understand the insight / business behind the prediction.

In scenarios, where there is high noise, random forest can also overfit, but the degree is not as high as decision trees.

Regards,
Kunal