Comparison of the Efficiency of Machine Learning Methods in Studying the Importance of Input Features in the Problem of Forecasting the Dst Geomagnetic Index

R D Vladimirov,O G Barinov,I N Myagkova,S A Dolenko,V R Shirokiy

doi:10.1134/s0016793222600795

Comparison of the Efficiency of Machine Learning Methods in Studying the Importance of Input Features in the Problem of Forecasting the Dst Geomagnetic Index

R D Vladimirov, O G Barinov + Show 3 more

https://doi.org/10.1134/s0016793222600795

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Journal: Geomagnetism and Aeronomy	Publication Date: Apr 1, 2023
Citations: 2

Affiliation: Lomonosov Moscow State University

#Dst Geomagnetic Index #Geomagnetic Index #Machine Learning Methods #Input Features #Learning Methods #Machine Learning

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Comparison of the Efficiency of Machine Learning Methods in Studying the Importance of Input Features in the Problem of Forecasting the Dst Geomagnetic Index