Machine-Learning Research in the Space Weather Journal: Prospects, Scope
and Limitations
Abstract
Manuscripts based on machine-learning techniques have significantly
increased in Space Weather over the past few years. We discuss which
manuscripts are within the journal’s scope and emphasize that
manuscripts fo-cusing purely on a forecasting technique (rather than on
understanding and forecasting a phenomenon) must correspond to a
substantial improvement over the current state-of-the-art techniques and
present this comparison. All manuscripts shall include information about
data preparation, including splitting of data between training,
validation and testing sets. The software and/or algorithms used for to
develop the machine-learning technique should be included in a
repository at the time of submission. Comparison with published results
using other methods must be presented, and uncertainties of the forecast
results must be discussed.