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Answer: Convert to Indicator Values
The statement is incorrect because the Clean Missing Data module is used for handling missing values, not for transforming categorical features into binary indicators. The correct module for this transformation is 'Convert to Indicator Values', which performs one-hot encoding to convert categorical columns into binary indicator columns. This is supported by the community discussion where 93% selected option B, and multiple comments with high upvotes confirm that 'Convert to Indicator Values' is the appropriate module for this task, referencing Microsoft documentation that explains its purpose for converting categorical values into binary indicator columns.
Author: LeetQuiz Editorial Team
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You need to evaluate the accuracy of the following statement: To transform a categorical feature into a binary indicator, you should use the Clean Missing Data module.
Select No adjustment required if the statement is correct. If the statement is incorrect, select the accurate option.
A
No adjustment required.
B
Convert to Indicator Values
C
Apply SQL Transformation
D
Group Categorical Values
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