Author:
Cheng Qifeng,Wang Tiantian,Guo Sicong,Zhang Dayi,Jing Kai,Feng Liang,Zhao Zhifeng,Wang Peizhuang
Abstract
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.
Publisher
Agora University of Oradea
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications
Cited by
6 articles.
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