Dear Community Members,
If i have a set of variables 1K+ (raw variables + transformed ), will it help to perform Data impute and variable selection to come up with the Model uplift
I have a binary prediction Model to predict the Event occurnace (1/0). I use multiple Decesion Trees to compare which is the best fit .
I change the tree depth and the split criteria for each tree .
Will it also help to convert all my continious variables to bins (100 bin) for a better Model lifetime going forward ( If i have any variables that may increase by time ( life time as an exampel )?
Thanks for your help
Thanks Jason for the generous information, you have covered all my doubts and enquires
Have a nice day!
Mohammed ElSofany
Don't miss out on SAS Innovate - Register now for the FREE Livestream!
Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.
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.