Undersampling

Written by Evispot. Posted in Glossary, u.

It’s the process of balancing a data set by discarding examples of the overrepresented class so that each has the same amount of examples.

A balanced data set allows a model to learn equal amounts of characteristics from each one of the classes represented in the data set, as opposed to one class dominating what the model learns.

© Evispot 2022 All rights reserved.

Machine learning in credit decisions

Leveraging machine learning for smarter lending and obtain insights into the technology behind 100% transparent machine learning models.

A link to download the file will be sent to your inbox.

Never see this message again.