论文标题
机器学习学生过度适应
Machine Learning Students Overfit to Overfitting
论文作者
论文摘要
过度拟合和概括是机器学习中的一个重要概念，因为只有对一般应用来说才有概括的模型。然而，一些学生很难通过讲座和练习来学习这一重要概念。在本文中，我们描述了学生误解过度拟合的常见例子，并为可能的解决方案提供了建议。我们涵盖了学生对过度拟合的误解，过度拟合的解决方案以及通常与过度拟合问题相混淆的实施错误。我们希望我们的论文可以有助于提高学生对这个重要主题的理解和讲座。
Overfitting and generalization is an important concept in Machine Learning as only models that generalize are interesting for general applications. Yet some students have trouble learning this important concept through lectures and exercises. In this paper we describe common examples of students misunderstanding overfitting, and provide recommendations for possible solutions. We cover student misconceptions about overfitting, about solutions to overfitting, and implementation mistakes that are commonly confused with overfitting issues. We expect that our paper can contribute to improving student understanding and lectures about this important topic.
