Machine Learning Students Overfit to Overfitting

被引:0
|
作者
Valdenegro-Toro, Matias [1 ]
Sabatelli, Matthia [1 ]
机构
[1] Univ Groningen, Dept AI, Groningen, Netherlands
来源
THIRD TEACHING MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE WORKSHOP, VOL 207 | 2022年 / 207卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
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页数:6
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