Is Infidelity Predictable? Using Explainable Machine Learning to Identify the Most Important Predictors of Infidelity

Laura M. Vowels, Matthew J. Vowels, Kristen P. Mark

Research output: Contribution to journal › Article › peer-review

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@article{93c59ce0fa6e4f41a0903877834416f6,

title = "Is Infidelity Predictable? Using Explainable Machine Learning to Identify the Most Important Predictors of Infidelity",

author = "Vowels, {Laura M.} and Vowels, {Matthew J.} and Mark, {Kristen P.}",

year = "2021",

month = aug,

day = "25",

doi = "10.1080/00224499.2021.1967846",

language = "English",

journal = "The Journal of Sex Research",

}

TY - JOUR

T1 - Is Infidelity Predictable? Using Explainable Machine Learning to Identify the Most Important Predictors of Infidelity

AU - Vowels, Laura M.

AU - Vowels, Matthew J.

AU - Mark, Kristen P.

PY - 2021/8/25

Y1 - 2021/8/25

UR - https://doi.org/10.1080/00224499.2021.1967846

U2 - 10.1080/00224499.2021.1967846

DO - 10.1080/00224499.2021.1967846

M3 - Article

JO - The Journal of Sex Research

JF - The Journal of Sex Research

ER -