What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data?

What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data?
A . It makes inference on the model possible.
B . It is computationally easier and requires less time.
C . It omits the training (and test) data sets from the benefits of the cleansing methods.
D . It allows for the determination of the effectiveness of the cleansing method.

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Answer: D