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Results tagged with data-imputation
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user 56406
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).
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How to handle NaNs for ratio feature for binary classifier?
I'm creating a churn model and would like to create a ratio (# customers / total transaction) for each merchant. About 70% of the data are NaNs (zero/zero).
I was wondering what I should impute for …
- 115
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How would you deal with inf. or NA for rate or ratio as a feature variable
I'm trying to create a feature for a churn model (binary classifier).
The feature is mean of sales growth rates for several months. But if I just take the mean of sales for several months, I often ge …
- 115