Hello Everyone,
I was just wondering what the best imputation method for categorical variables is. Considering many categorical variables (with exception of variables such as postcodes etc) dont have too many levels, will it not be misleading to impute their missing values?
I have always thought creating a 'one-size-fits-all' variable such as CCC and imputing that for every missing level might be more reasonable. Can someone help out with any ideas or suggestions?
Thanks
There's lots of discussion of this subject if you go to your favorite search engine and type in
imputing categorical variables
That's why you do multiple imputation to reduce chance of bias AND to understand the effect of the imputation.
This isn't a SAS question though, it's a statistics question better answered by statisticians or Google.
Good news: We've extended SAS Hackathon registration until Sept. 12, so you still have time to be part of our biggest event yet – our five-year anniversary!
Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.