Machine learning methods for imbalanced data set for prediction of faecal contamination in beach waters

•Predicting water contamination by statistical models.•Evaluation of several machine learning techniques and metrics to model imbalanced data.•Imbalanced data-sets requires modified machine learning algorithms and evaluation metrics.•Combining modeling strategies is necessary to anticipate water con...

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Veröffentlicht in:	Water research (Oxford) 2021-09, Vol.202, p.117450-117450, Article 117450
Hauptverfasser:	Bourel, Mathias, Segura, Angel M., Crisci, Carolina, López, Guzmán, Sampognaro, Lia, Vidal, Victoria, Kruk, Carla, Piccini, Claudia, Perera, Gonzalo
Format:	Artikel
Sprache:	eng
Schlagworte:	Faecal coliform Machine learning Prediction Recreational waters
Online-Zugang:	Volltext
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