The step of creating ensemble models in the AutoML process allows us to
A) handle missing data, outliers, variable selection, data transformation, and data standardization to maintain a common format.
B) provide an understanding of invisible relationships and patterns.
C) extract insight from data.
D) reduce the generalization error of the prediction.

Question

Quizplus · Accepted Answer

Ensemble models combine multiple machine learning models to improve the overall performance, specifically aiming to reduce the generalization error, rather than focusing on data preprocessing or insight extraction.

The Step of Creating Ensemble Models in the AutoML Process