Performance of Regression Models as a Function of Experiment Noise

Background: A challenge in developing machine learning regression models is that it is difficult to know whether maximal performance has been reached on the test dataset, or whether further model improvement is possible. In biology, this problem is particularly pronounced as sample labels (response...

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Bibliographic Details
Main Authors: Gang Li, Jan Zrimec, Boyang Ji, Jun Geng, Johan Larsbrink, Aleksej Zelezniak, Jens Nielsen, Martin KM Engqvist
Format: Article
Language:English
Published: SAGE Publishing 2021-06-01
Series:Bioinformatics and Biology Insights
Online Access:https://doi.org/10.1177/11779322211020315