GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning-Reference-Cited by-同舟云学术

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GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning

Published:2021-06-08 Issue:6 Volume:61 Page:2623-2640
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Esposito Carmen¹^ORCID,Landrum Gregory A.¹²^ORCID,Schneider Nadine³^ORCID,Stiefl Nikolaus³^ORCID,Riniker Sereina¹^ORCID

Affiliation:

1. Laboratory of Physical Chemistry, ETH Zurich, Vladimir-Prelog-Weg 2, 8093 Zurich, Switzerland

2. T5 Informatics GmbH, Spalenring 11, 4055 Basel, Switzerland

3. Novartis Institutes for BioMedical Research, Novartis Pharma AG, Novartis Campus, 4002 Basel, Switzerland

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.1c00160

Reference97 articles.

1. Mining with rarity

2. Learning from class-imbalanced data: Review of methods and applications

3. Neyman-Pearson classification algorithms and NP receiver operating characteristics

4. A Systematic Review on Imbalanced Data Challenges in Machine Learning

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