Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.

What learners are well suited for count data?

wesselwessel Member Posts: 537 Maven
in Help
What learners are well suited for count data?

I'm assuming a small number of samples in the data.
E.g. 30.

Typically I would use Poisson regression, but this is not included in Rapid Miner.

Best regards,

Wessel

Answers

  • wesselwessel Member Posts: 537 Maven
    Maybe someone can mention tips and tricks instead of some learner?

    For example, a trick that is often used is applying a log transformation.
    This transforms counts (which are always positive numbers) into ranging from negative infinity to positive infinity.
    This makes sure your regression never produces predictions that are impossible.
Sign In or Register to comment.