The Hidden Sexual Minorities: Machine Learning Approaches to Estimate the Sexual Minority Orientation Among Beijing College Students

The Hidden Sexual Minorities: Machine Learning Approaches to Estimate the Sexual Minority Orientation Among Beijing College Students

Based on the fourth-wave Beijing College Students Panel Survey (BCSPS), this study aims to provide accurate estimation of the percentage of the potential sexual minorities among the Beijing college students by using machine learning methods. Specifically, we employ random forest (RF), an ensemble le...

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Bibliographic Details
Main Authors: Yunsong Chen, Guangye He, Guodong Ju
Format: Article
Language:English
Published: Tsinghua University Press 2022-06-01
Series:Journal of Social Computing
Subjects:
sexual minority orientation
imbalanced missing data
random forest
machine learning
Online Access:https://www.sciopen.com/article/10.23919/JSC.2021.0021

Internet

https://www.sciopen.com/article/10.23919/JSC.2021.0021

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