Out-of-time Test

Out-of-time test is the method of training a model on data from the earlier part of the time-interval and testing it against the later, so called out-of-time test set. The purpose is to create a testing scenario where the model and test set simulates how the model would perform in real time.

© 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.