A Machine Learning-Based Water Potability Prediction Model by Using Synthetic Minority Oversampling Technique and Explainable AI

During the last few decades, the quality of water has deteriorated significantly due to pollution and many other issues. As a consequence of this, there is a need for a model that can make accurate projections about water quality. This work shows the comparative analysis of different machine learnin...

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Detalles Bibliográficos
Autores principales: Patel, Jinal, Amipara, Charmi, Ahanger, Tariq Ahamed, Ladhva, Komal, Gupta, Rajeev Kumar, Alsaab, Hashem O., Althobaiti, Yusuf S., Ratna, Rajnish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514946/
https://www.ncbi.nlm.nih.gov/pubmed/36177311
http://dx.doi.org/10.1155/2022/9283293

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514946/
https://www.ncbi.nlm.nih.gov/pubmed/36177311
http://dx.doi.org/10.1155/2022/9283293

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