Classifying Solar Flares
This study aims to classify solar flares using machine learning techniques based on vector magnetic field data from 8,874 solar records collected between May 2010 and December 2019. It Utilizes Scikit-Learn toP implement machine learning methods in Python. Achieved an accuracy of 99.4% of predicting a solar flare using key features.
