基于逻辑回归的大学生生活质量评价模型研究
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摘要
随着我国经济的快速发展和人们生活水平的日益提高,大学生的生活方式也发生了重大改变。为了有效衡量大学生的生活质量,基于逻辑回归模型,选择影响大学生生活质量的6个关键因素作为评价指标,建立大学生生活质量评价模型。首先,通过Sigmoid函数将线性回归的输出映射到(0,1);然后,利用梯度下降法计算回归系数的更新过程;最后,通过迭代计算回归系数。利用该模型可以对大学生生活质量进行定量评价,引导大学生养成健康的生活习惯,树立积极向上的人生观与价值观,构建和谐校园。
With the rapid development of China's economy and the improvement of people's living standards,the lifestyle of college students has also undergone significant changes. In order to effectively measure the quality of life of college students,based on the logistic regression model,the paper selected six key factors that affect the quality of life as evaluation indicators,and established an evaluation model of college students' quality of life.Firstly,the output of linear regression was mapped to( 0,1) by Sigmoid function. Then,the updating process of regression coefficient was calculated by gradient descent method. Finally,the regression coefficient is calculated iteratively. The model can be used to quantitatively evaluate the quality of life of college students,guide them to develop healthy habits,establish positive outlook on life and values,and build a harmonious campus.
With the rapid development of China's economy and the improvement of people's living standards,the lifestyle of college students has also undergone significant changes. In order to effectively measure the quality of life of college students,based on the logistic regression model,the paper selected six key factors that affect the quality of life as evaluation indicators,and established an evaluation model of college students' quality of life.Firstly,the output of linear regression was mapped to( 0,1) by Sigmoid function. Then,the updating process of regression coefficient was calculated by gradient descent method. Finally,the regression coefficient is calculated iteratively. The model can be used to quantitatively evaluate the quality of life of college students,guide them to develop healthy habits,establish positive outlook on life and values,and build a harmonious campus.
引文
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[3]金海月.逻辑斯蒂回归模型在电信领域中的应用[J].沈阳理工大学学报,2018(2).
[4]桂州,陈建国,王成彬.基于GEP-逻辑回归的地质异常信息分类预测以东天山地区化探数据为例[J].桂林理工大学学报,2018(1).
[5]张明国,李成刚.基于Logit模型的战略性新兴产业企业财务风险影响因素研究[J].时代金融,2017(35).
[6]刘蕾.基于逻辑回归算法的乳腺癌诊断数据分类研究[J].软件工程,2018(2).
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[8]侯爱华,高伟,汪霖.基于逻辑回归模型的流量异常检测方法研究[J].工程数学学报,2017(5).