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Answer (Choose 1 answer)
This option describes a way of turning a regression problem for a classification problem:
A. Create a new variable that flags 1 for above a certain value and 0 otherwise
B. Use outlier treatment
C. Use missing value handling
D. Create a new variable that uses autoencoding to transform a continuous outcome into ca
