The flare likelihood and region eruption forecasting (FLARECAST) project: flare forecasting in the big data & machine learning era | Journal of Space Weather and Space Climate

Topical Issue - Space Weather research in the Digital Age and across the full data lifecycle

Open Access

Fig. 11

Example prediction runs adapted from (a) Florios et al. (2018) and (b) Campi et al. (2019) for the same basic prediction settings, namely a 24-hr forecast window for GOES ≥M1.0 flares. Both TSS and HSS values are shown in a using RFs only, while b shows only TSS values for two different methods, namely hybrid LASSO (HLA) and RF. The abscissas in both plots correspond to the number of predictors used.

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