2021
DOI: 10.48550/arxiv.2109.14770
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Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods

Abstract: Space-Weather ANalytics for Solar Flares (SWAN-SF) is a multivariate time series benchmark dataset recently created to serve the heliophysics community as a testbed for solar flare forecasting models. SWAN-SF contains 54 unique features, with 24 quantitative features computed from the photospheric magnetic field maps of active regions, describing their precedent flare activity. In this study, for the first time, we systematically attacked the problem of quantifying the relevance of these features to the ambiti… Show more

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