论文标题
核物理中的树木和森林
Trees and Forests in Nuclear Physics
论文作者
论文摘要
我们使用核物理学的一些示例对决策树算法进行了简单的介绍。我们通过决策树来展示如何通过执行特征工程来提高经典液体滴核质量模型的准确性。最后，我们将该方法应用于Duflo-Zuker模型，表明尽管它们很简单，但决策树能够使用有限数量的自由参数来改善核质量的描述。
We present a simple introduction to the decision tree algorithm using some examples from nuclear physics. We show how to improve the accuracy of the classical liquid drop nuclear mass model by performing Feature Engineering with a decision tree. Finally, we apply the method to the Duflo-Zuker model showing that, despite their simplicity, decision trees are capable of improving the description of nuclear masses using a limited number of free parameters.
