I have a dataset containing a categorical feature with a missing rate 95%. What value can replace the missing cells? Or drop this feature?
how to do the imputation for categorical feature with a missing rate?
missing data;data imputation
You can turn it into a one-hot encoded feature with an added class of 'Missing', depending on the cardinality (how many categories are there). If the cardinality is too high, you will need to use other techniques for high cardinality features but you can still have 'Missing' as an additional category.