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Results tagged with data-imputation
Search options not deleted user 146142
Data imputation is the process of replacing missing data with substituted values. This could involve statistically representative data filling (e.g. local averages) or simply replacing the missing data with encoded values (e.g. replace NaNs with zeros).
1 vote
How to handle missing value if imputation doesnt make sense
If the variable is categorical and not ordered, it may make sense to create a new category 'not_married' to represent the missing values. This would allow you to keep the information about marital st …
2 votes
Training a Model that Doesn't Always Have All the Features
You may impute the missing values, as Nemo_the_scientist has recommended, and to add information to the model, to distinguish the imputed values from the original values, you could add variables that …