can you please help me to know, whether to drop the missing value or to impute the missing value using different imputation method. If variable is having more than 70% as missing value then imputing the missing value will cause model error, if dropping the missing value, then data-set will left with 30% data that also will cause the model error, so how to handle this situation?
Hi @rupakumari9892,
Welcome to the community! I would recommend you to check out this post:
Best,
Sahil