[D] How to measure accuracy of kNN Imputation?

I have a dataset in which the the best way to impute missing values is to use kNN but before I go ahead and do that I'd like to check what kind of accuracy I have with that form of imputation in this specific dataset and which k should be used. My original solution was as follows:

1. From my original dataset, remove all rows with missing values
2. From this dataset, impute NaNs randomly throughout the dataset with the same frequency …

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