BookmarkSubscribeRSS Feed
yxming99
Calcite | Level 5

Hello, Fellow Users,

 

I am building an attrition model. I am ending up with 10 predictors. The client wants to know for each record, which the top reason it will attride (like the top reasons the credit card application is denied).

 

I haven't worked in credit card industry, so I don't know exactly how they do it. One solution I am thinking is:

 

1), Standardize the predictors 

2), Estimate the coefficient

3), Scoring each record

4), Rank the absolute value of coefficient * preditors

 

Because the end value is due to the summary of each coefficient * preditors, I think I am ranking the important of each predictor.

 

Could anyone give me some insight whether this works?

 

Thanks a lot.

 

S. Y.

sas-innovate-2024.png

Join us for SAS Innovate April 16-19 at the Aria in Las Vegas. Bring the team and save big with our group pricing for a limited time only.

Pre-conference courses and tutorials are filling up fast and are always a sellout. Register today to reserve your seat.

 

Register now!

What is ANOVA?

ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 0 replies
  • 1055 views
  • 0 likes
  • 1 in conversation