Random Forest (or) Random Decision Forest
Revision as of 21:30, 3 June 2018 by BPeat (talk | contribs) (BPeat moved page Random Forests (or random decision forests) to Random Forest (or) Random Decision Forest without leaving a redirect)
Random forest (ensemble method) builds multiple decision trees and merges them together to get a more accurate and stable prediction. Random Forest is a flexible, easy to use machine learning algorithm that produces, even without hyper-parameter tuning, a great result most of the time. It is also one of the most used algorithms, because it’s simplicity and the fact that it can be used for both classification and regression tasks. The Random Forest Algorithm | Niklas Donges @ Towards Data Science
Two-Class Decision Forest
