You have a large dataset where removing the outliers would lead to loss of significant data. What method would you recommend for outlier handling?
- Binning
- Removal
- Transformation
- nan
If the dataset is large and removing outliers would lead to a significant loss of data, binning could be a suitable method. In binning, the outliers are not removed but rather they are replaced with summary statistics like mean, median, etc.
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