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A Comparison of Classifiers for Solar Energetic Events

Published online by Cambridge University Press:  30 May 2017

Graham Barnes
Affiliation:
NorthWest Research Associates, 3380 Mitchell Ln, Boulder CO 80305, USA email: [email protected], [email protected]
Nicole Schanche
Affiliation:
University of St Andrews, North Haught, St Andrews, Fife, KY16 9SS, UK email: [email protected]
K. D. Leka
Affiliation:
NorthWest Research Associates, 3380 Mitchell Ln, Boulder CO 80305, USA email: [email protected], [email protected]
Ashna Aggarwal
Affiliation:
Department of Earth, Planetary, and Space Science, University of California, Los Angeles CA 90095, USA email: [email protected]
Kathy Reeves
Affiliation:
Harvard Smithsonian Center for Astrophysics, Cambridge MA 02138, USA email: [email protected]
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Abstract

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We compare the results of using a Random Forest Classifier with the results of using Nonparametric Discriminant Analysis to classify whether a filament channel (in the case of a filament eruption) or an active region (in the case of a flare) is about to produce an event. A large number of descriptors are considered in each case, but it is found that only a small number are needed in order to get most of the improvement in performance over always predicting the majority class. There is little difference in performance between the two classifiers, and neither results in substantial improvements over simply predicting the majority class.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2017 

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