In a random forest model, as a guideline the user needs to select a number of the random features for each tree. If there are 9 predictor variables in the data, each tree will randomly select how many features to be included in the tree?
A) 4
B) 1
C) 9
D) 3

Question

Quizplus · Accepted Answer

In a random forest model, a good rule of thumb for classification problems is to use the square root of the total number of features. Since there are 9 predictor variables, the square root of 9 is 3. Therefore, each tree would randomly select 3 features to be included.

In a Random Forest Model, as a Guideline the User