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.

中文翻译：

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构建用于龙卷风预测的高效机器学习模型

使用机器学习和决策分析技术分析龙卷风预测变量。基于多个选择程序和叠加原理的模型适用于不同的数据分析方法。构建的模型已在龙卷风事件数据库上进行了测试。结果表明，本文开发的龙卷风预测模型比之前的一组机器学习模型更有效，为更准确的决策开辟了道路。