I would like to understand mathematically how the Cumulative Lift is adjusted for Prior Probabilities by SAS Enterprise Miner in the Regression Node for Logistic Regression.
I got the formula for adjusting posterior probabilities over here
https://documentation.sas.com/?docsetId=emxndg&docsetTarget=p1vqpbjwoo4bv7n1sw77e0z64xxs.htm&docsetV...
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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.