Model selection and timing of acquisition date impacts classification accuracy: A case study using hyperspectral imaging to detect white pine blister rust over time

• AUC is a better indicator of model fitness for extrapolation than predicted accuracy. • Heterogeneous ensembles are recommended for extrapolation over time. • Detecting infection in future dates is easier than for past dates. Hyperspectral imaging is useful in identifying plant stress over large areas or with large numbers of individuals. The vast data sets make machine learning indispensable, but the choice of machine-learning model, the...