An online reseller has a large, multi-column dataset with one column missing 30% of its data. A Machine Learning Specialist believes that certain columns in the dataset could be used to reconstruct the missing data. Which reconstruction approach should the Specialist use to preserve the integrity of the dataset?
A) Listwise deletion
B) Last observation carried forward
C) Multiple imputation
D) Mean substitution

Question

Quizplus · Accepted Answer

Multiple imputation is a robust method for handling missing data, as it uses the relationships between variables to estimate and fill in missing values, preserving the dataset's integrity and variability.

An Online Reseller Has a Large, Multi-Column Dataset with One