Ensemble tree models combine multiple single-tree models to reduce the variation in prediction error. Of the strategies, which may lead to overfitting?
A) boosting
B) random Forest
C) bagging
D) banking

Question

Quizplus · Accepted Answer

Boosting can lead to overfitting because it focuses on correcting the mistakes of previous models, potentially leading to a model that is too complex and closely fitted to the training data.

Ensemble Tree Models Combine Multiple Single-Tree Models to Reduce the Variation