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Regular version of the site

Article

Constructing an Efficient Machine Learning Model for Tornado Prediction

Aleskerov F. T., Demin S., Richman M., Shvydun S., Trafalis T. B., Yakuba V. I.

Tornado prediction variables are analyzed using machine learning and decision analysis techniques.  A model based on several choice procedures and the superposition principle is applied for different methods of data analysis. The constructed model has been tested on a database of tornadic events. It is shown that the tornado prediction model developed herein is more efficient than a previous set of machine learning models, opening the way to more accurate decisions.