Research on the Confidence Regression Based on KNN Algorithm
Fang Chun Jiang, Sheng Feng Tian · Applied Mechanics and Materials · 2015
Confidence regression is a significant research field of confidence machine learning. This paper adopts KNN algorithm as a tool, and performs error evaluation on results of regressive learning to classify the accept field and the refuse field so as to achieve the confidence regression. By setting specific error value, this approach achieves controllable confidence regression, which has been tested on experimental data of bodyfat and other data sets. The experimental results presented show the feasibility of our approach.