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Explore the building blocks of predictive analytics using AI with our informative guide. This simplified overview breaks down the essential components that enable accurate forecasting and decision-making, empowering businesses to anticipate trends and make informed decisions. Perfect for those interested in leveraging AI for predictive insights. Stay informed with Softlabs Group for more insightful content on cutting-edge advancements in AI.
authors: L.A. Jackson-Blake, S.M. Dunn, R.C. Helliwell, R.A. Skeffington, M.I. Stutter, A.J. Wade
Why I like it: The paper presents an application of a widely-used catchment phosphorus model (SWAT) and considers how well it performs, and the reasons that its performance isn't better. The authors do this honestly and systematically, and consider their results as they reflect the performance of models of this type more generally, concluding that we are not yet able to model stream phosphorus concentrations very well, at least on daily timesteps. In addition to reflecting on the modelling and evaluation practices that might hinder progress, they present a checklist that may be useful to others evaluating reasons for poor model performance.