BookmarkSubscribeRSS Feed
Fluorite | Level 6



I am at the first step of building predictors for my model, I need to understand my categorical variables by executing a chi - square, Which node can help me achieve the same. I am not keen on the graphical representation, I want to visualise then p values for all catagorical variables.


Please help!

Thank you,



SAS Employee

Hello Prajna_450:


The Variable Selection node enables you to evaluate the importance of input variables in predicting or classifying the target variable. The node uses either an R-square or a Chi-square selection (tree based) criterion. The R-square criterion removes variables that have large percentages of missing values, and remove class variables that are based on the number of unique values. The variables that are not related to the target are set to a status of rejected.


Also, the StatExplore node generates Chi-square statistics for your variables.


Have a great day.


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.


Register now!

How to choose a machine learning algorithm

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.

Discussion stats
  • 1 reply
  • 2 in conversation