摘要
本文针对我校毕业生历年就业数据的变化特点,采用多项式回归和多元线性回归两种不同的算法对就业数据进行数学建模,进而实现就业率的预测,并且利用残差对两种模型的质量进行了分析评估。
According to the characteristics of the yearly employment data changes of our school graduates, the paper adopts two different algorithms of polynomial regression and multiple linear regression to mathematically model the employment data, so as to realize the employment rate prediction, and uses residuals to analyze and assess the two models＇ quality.
出处
《计算机工程与科学》
CSCD
北大核心
2009年第5期141-143,共3页
Computer Engineering & Science
关键词
多项式回归
多元线性回归
残差
质量
预测
polynomial regression
multiple linear regression
residuals
quality
prediction
