The Logistic Regression from the Viewpoint of the Factor Space Theory
Qifeng Cheng, Tiantian Wang, Sicong Guo, Dayi Zhang, Jing Kai, Liang Feng, Zhifeng Zhao, Peizhuang Wang · International Journal of Computers Communications & Control · 2017
Logistic regression plays an important role in machine learning. People excitingly use it in conceptual matching yet with some details to be understood further. This paper aims to present a reasonable statement on logistic regression based on fuzzy sets and the factor space theory. An example about breast cancer diagnosis is displayed to show how the factor space theory can be incorporated into the understanding and use of logistic regression.