R Random Forest Classification
So I used caret with random forest as my model with 5 fold cross validation rfmodel.
Random Forest can be used to solve regression and classification problems. In regression problems, the dependent variable is continuous. In classification problems, the dependent variable is categorical. Trivia: The random Forest algorithm was created by Leo Brieman and Adele Cutler in 2001. How does it work? (Decision Tree, Random Forest).
R Random Forest Classification List
Provides steps for applying random forest to do classification and prediction. Random forest to do classification and prediction. R code file: Data: https://goo.gl/C9emgB. First, Random Forest algorithm is a supervised classification algorithm. We can see it from its name, which is to create a forest by some way and make it random.