Random Forest Overview and Demo in R
Random Forest Overview and Demo in R (for classification). See previous videos
What:
An ensemble learning method for classification and regression
Operate by constructing a multitude of decision trees
Why use Random Forest:
Reasonable fast but very easy to use
Handles sparse data/missing data well
Overcomes problem with over fitting
How:
Tree bagging - random sample with replacement
Random subset of the features.
Voting
Demo
using randomForest library