DP-100 · Question #51
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…
The correct answer is A. Yes. Entropy Minimum Description Length (MDL) is a supervised binning method available in Azure Machine Learning Studio's 'Group Data into Bins' module. It uses information theory to determine optimal bin boundaries based on the target variable, grouping continuous values into…
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- AYes
- BNo
How the community answered
(28 responses)- A86% (24)
- B14% (4)
Explanation
Entropy Minimum Description Length (MDL) is a supervised binning method available in Azure Machine Learning Studio's 'Group Data into Bins' module. It uses information theory to determine optimal bin boundaries based on the target variable, grouping continuous values into discrete bins (categories). This directly meets the goal of normalizing values to produce a feature column grouped into bins, so the solution is correct.
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