If predictor variables are highly correlated, then repeated sampling of the training data and a random selection of features are used to construct trees. This is an example of which strategy?
A) random Forest
B) bagging
C) boosting
D) banking

Question

Quizplus · Accepted Answer

Random Forest utilizes both repeated sampling of the training data (bootstrap aggregating or bagging) and random selection of features to construct multiple decision trees, aiming to reduce overfitting and improve model accuracy.

If Predictor Variables Are Highly Correlated, Then Repeated Sampling of the Training