BookmarkSubscribeRSS Feed
Prajna_450
Fluorite | Level 6

Hi,

 

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,

 

Prajna 

1 REPLY 1
MikeStockstill
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.

SAS Innovate 2025: Call for Content

Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!

Submit your idea!

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
  • 1556 views
  • 0 likes
  • 2 in conversation