A benchmark dataset for machine learning in ecotoxicology

Abstract The use of machine learning for predicting ecotoxicological outcomes is promising, but underutilized. The curation of data with informative features requires both expertise in machine learning as well as a strong biological and ecotoxicological background, which we consider a barrier of ent...

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Bibliographic Details
Main Authors: Christoph Schür, Lilian Gasser, Fernando Perez-Cruz, Kristin Schirmer, Marco Baity-Jesi
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02612-2