When we should use Replacement node and when use Impute node?
Thanks.
Best
Tom
Tom, at a high-level the Replacement node allows you to assign/replace or trim values in your data. For example you may want to trim the tails of your distribution to tighten your analysis. You could then use an Impute node for example. The Impute node essentially replaces missing values in your data set. As you may know, if values are missing in your modeling set, observations are often excluded from the analysis.
Documentation can be found here:
http://support.sas.com/documentation/solutions/miner/em/emref.pdf
Thanks,
Jonathan
Tom, at a high-level the Replacement node allows you to assign/replace or trim values in your data. For example you may want to trim the tails of your distribution to tighten your analysis. You could then use an Impute node for example. The Impute node essentially replaces missing values in your data set. As you may know, if values are missing in your modeling set, observations are often excluded from the analysis.
Documentation can be found here:
http://support.sas.com/documentation/solutions/miner/em/emref.pdf
Thanks,
Jonathan
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.