Spatial or Random Cross-Validation? The Effect of Resampling Methods in Predicting Groundwater Salinity with Machine Learning in Mediterranean Region

Machine learning (ML) algorithms are extensively used with outstanding prediction accuracy. However, in some cases, their overfitting capabilities, along with inadvertent biases, might produce overly optimistic results. Spatial data are a special kind of data that could introduce biases to ML due to...

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Bibliographic Details
Main Authors: Panagiotis Tziachris, Melpomeni Nikou, Vassilis Aschonitis, Andreas Kallioras, Katerina Sachsamanoglou, Maria Dolores Fidelibus, Evangelos Tziritis
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/15/12/2278