Answer-first summary for fast verification
Answer: No
The solution does not meet the goal because Entropy MDL binning does not normalize values. According to the Azure Machine Learning documentation and community consensus (with the highest upvoted comments supporting this view), Entropy MDL is a binning method that groups data based on entropy minimization and predictive power for a target column, but it does not perform normalization. Normalization transforms values to a common scale, which is not part of the Entropy MDL process. The Quantiles binning mode is the appropriate method when normalization is required, as it supports options like Quantile normalization. Therefore, applying Entropy MDL binning alone will not achieve the goal of normalizing values while grouping them into bins.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
You are using Azure Machine Learning Studio to perform feature engineering on a dataset. You need to normalize values to produce a feature column grouped into bins.
Solution: Apply an Entropy Minimum Description Length (MDL) binning mode.
Does the solution meet the goal?
A
Yes
B
No
No comments yet.