Random Forest
- is a fancier type of Bagging technique used with Decision Trees (DT)
Random Forest - Model Representation
- TODO
Random Forest - Model Training/Learning
- TODO
Missing Data
Random Forest considers 2 types of missing data:
- missing data in the original dataset used to train/create the random forest
- missing data in a new sample that you want to categorize