The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
Prediction of more than 1 output
vaishaks89
Member Posts: 6 Contributor II
in Help
Dear all,
I am currently dealing with a problem where I need to predict more than 5 ouputs.
Here the problem is to say which all customers will pay late. The output will be in this format
Pay Band
0-30 days
30-60 days
60-90 days
etc
The data is in the form
Paid_Band Admin team Admin region Value Band Suspence Status Sector Organization
30-40 Team1 R1 34$ Contract Not paid Medical Home Medicals
0-30 T2 R2 56$ Contract Paid Home Maddy
Right now I am using neural networks for this process. I would be happy to get your suggestions on which operator would be suitable for this type of problem
I am currently dealing with a problem where I need to predict more than 5 ouputs.
Here the problem is to say which all customers will pay late. The output will be in this format
Pay Band
0-30 days
30-60 days
60-90 days
etc
The data is in the form
Paid_Band Admin team Admin region Value Band Suspence Status Sector Organization
30-40 Team1 R1 34$ Contract Not paid Medical Home Medicals
0-30 T2 R2 56$ Contract Paid Home Maddy
Right now I am using neural networks for this process. I would be happy to get your suggestions on which operator would be suitable for this type of problem
0
Answers
as I wrote in your other thread, you can use the operator Polynominal by Binominal classification if your classification algorithm (Neural Net) only supports binominal labels (like true and false), but your data has polynominal label values (like "0-30 days", "30-60 days" and "60-90 days").
Best,
Marius