mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R

Spatial and spatiotemporal machine-learning models require a suitable framework for their model assessment, model selection, and hyperparameter tuning, in order to avoid error estimation bias and over-fitting. This contribution provides an overview of the state-of-the-art in spatial and spatiotempo...

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Bibliographic Details
Main Authors: Patrick Schratz, Marc Becker, Michel Lang, Alexander Brenning
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2024-11-01
Series:Journal of Statistical Software
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/4778
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