Answer-first summary for fast verification
Answer: No
The solution does NOT meet the goal because Equal Width binning divides the data range into bins of equal size but does not normalize the values in relation to the target column. For predicting a target column, normalization should consider the distribution and relationship with the target, which Equal Width binning ignores. Community discussion strongly supports 'No' (Option B) with 100% consensus, citing that methods like Quantile normalization or Entropy MDL are more appropriate as they account for percentiles or information gain relative to the target, ensuring bins reflect meaningful patterns for prediction. While Equal Width binning performs binning, it fails the normalization requirement for target prediction.
Author: LeetQuiz Editorial Team
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You are a data scientist using Azure Machine Learning Studio. You need to normalize values by binning them into bins to predict a target column.
Solution: Apply an Equal Width with Custom Start and Stop binning mode.
Does the solution meet the goal?
A
Yes
B
No
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