Random Forest in R
Random forest is very very important tools used in the prediction technology. Random Forests are one of the most popular and most powerful supervised Machine Learning algorithms in Machine Language.
Advantage of random forest
- It mainly works on classification
- Both classification and regression task are evaluated
- Easily handle the missing values and maintain accuracy for missing data
- Wont overfit the model
- Handle large dataset with higher accuracy
