BookmarkSubscribeRSS Feed
bhadrappa_molgi
Calcite | Level 5

I have 5 categorical variables like client, location, types of services, prodcucts , bill of materials used etc. Can I use multinomial logistic regression for predicting the target variable which is categorical which more than 2 levels with other 5-6 categorical variables which are multilevel too?

 

can you suggest a good technique to handle this, I have more than 500000 rows of data , so I want to predict the on the future data. and also there could seasonality effect inside the data.

1 REPLY 1
Ksharp
Super User
"Can I use multinomial logistic regression for predicting the target variable which is categorical which more than 2 levels "
Answer is yes. That lead to General Logistic Model.

An alternative method is using Decision Tree which Data Scientist love it . But you need SAS/EM to run it.


"so I want to predict the on the future data. and also there could seasonality effect inside the data."
Do you mean these data are Time Series data ? then you need SAS/ETS .

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!

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
  • 1 reply
  • 1419 views
  • 0 likes
  • 2 in conversation