Comparison of Resampling Algorithms to Address Class Imbalance when Developing Machine Learning Models to Predict Foodborne Pathogen Presence in Agricultural Water

Research article (Frontiers in Environmental Science, 2021) · cited 29× · AI/ML
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Comparison of Resampling Algorithms to Address Class Imbalance when Developing Machine Learning Models to Predict Foodborne Pathogen Presence in Agricultural Water

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Comparison of Resampling Algorithms to Address Class Imbalance when Developing Machine Learning Models to Predict Foodborne Pathogen Presence in Agricultural Water is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparison of Resampling Algorithms to Address Class Imbalance when Developing Machine Learning Models to Predict Foodborne Pathogen Presence in Agricultural Water. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-resampling-algorithms-to-address-class-imbalance-when-developing-machine-learning-models-to-predict-foodbo
MLA “Comparison of Resampling Algorithms to Address Class Imbalance when Developing Machine Learning Models to Predict Foodborne Pathogen Presence in Agricultural Water.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-of-resampling-algorithms-to-address-class-imbalance-when-developing-machine-learning-models-to-predict-foodbo.
BibTeX @misc{4ortxyz_comparison-of-resampling-algorithms-to-address-class-imbalance-when-developing-machine-learning-models-to-predict-foodbo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of Resampling Algorithms to Address Class Imbalance when Developing Machine Learning Models to Predict Foodborne Pathogen Presence in Agricultural Water}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-resampling-algorithms-to-address-class-imbalance-when-developing-machine-learning-models-to-predict-foodbo}, note = {Accessed: 2026-05-24}}
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