Answer-first summary for fast verification
Answer: No
The solution does not meet the goal because Entropy Minimum Description Length (MDL) binning is not a normalization technique. According to the Azure Machine Learning documentation and the community discussion (with the top comment having 30 upvotes and multiple supporting comments with high upvotes), Entropy MDL is used for feature selection and determining optimal bin counts based on information theory principles, but it does not normalize values. The goal specifically requires normalizing values before binning. For normalization with binning, the Quantiles binning mode with Quantile normalization should be used instead, as it transforms values to a common scale prior to binning. The community consensus strongly supports answer B (No), with 86% of respondents selecting it and detailed reasoning referencing official documentation.
Author: LeetQuiz Editorial Team
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You are using Azure Machine Learning Studio for feature engineering on a dataset. You must normalize values to create 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