June 23, 2022, 1:10 a.m. | Kailai Wang (University of Houston), Xize Wang (National University of Singapore)

cs.LG updates on arXiv.org arxiv.org

Whether the Millennials are less auto-centric than the previous generations
has been widely discussed in the literature. Most existing studies use
regression models and assume that all factors are linear-additive in
contributing to the young adults' driving behaviors. This study relaxes this
assumption by applying a non-parametric statistical learning method, namely the
gradient boosting decision trees (GBDT). Using U.S. nationwide travel surveys
for 2001 and 2017, this study examines the non-linear dose-response effects of
lifecycle, socio-demographic and residential factors on …

america arxiv boosting decision gen gradient lg millennials trees

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