________ is the process of finding the most appropriate estimate for missing data.
a) Interpolation b) Extrapolation c) Inverse interpolation d) Involution
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Involution is the process of finding the most appropriate estimate for missing data.
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Answer:
Involution
Step-by-step explanation:
Firstly, understand that there is NO good way to deal with missing data. I have come across different solutions for data imputation depending on the kind of problem — Time series Analysis, ML, Regression etc. and it is difficult to provide a general solution. In this blog, I am attempting to
the most commonly used methods and trying to find a structural solution.
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