期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：267
期号：4
页码：1-5
DOI：10.1088/1755-1315/267/4/042077
出版社：IOP Publishing
摘要：In machine learning problems, polynomial logistic regression algorithms are often used to classify data. Compared to linear regression, polynomial regression can not only deal with linear problems, but also deal with nonlinear problems. In the polynomial logistic regression algorithm, the polynomial order has a certain influence on the classification effect. This paper studies the influence of the polynomial order on the binary decision boundary in binary classification problem. By choosing different parameter values, an approximate optimal solution can be found.
