Hi.
During the Modelling process, if we have selected some of the variables and we see that for one of the very significant variable the values are missing so is there a threshold or industry specified % for the variable to be kept in the model and ignore the missing values.
I understand that we can replace the missing values with either the mean or the median of the variable however wanted to see if statisitcally there is a threshold.
Regards, Shivi
Hi,
I think there is no standard threshold for variables with missing values to be considered for modeling. Normal practice is to drop a variable having 50% missing values. If you consider variable having 50% missing values is important for modeling, then you can create an indicator variable and use that instead.
Hi,
I think there is no standard threshold for variables with missing values to be considered for modeling. Normal practice is to drop a variable having 50% missing values. If you consider variable having 50% missing values is important for modeling, then you can create an indicator variable and use that instead.
thank you.
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