Is Infidelity Predictable? Using Explainable Machine Learning to Identify the Most Important Predictors of Infidelity
Abstract
Infidelity can be a disruptive event in a romantic relationship with a devastating impact on both partners’ well-being. Thus, there are benefits to identifying factors that can explain or predict infidelity, but prior research has not utilized methods that would provide the relative importance of each predictor. We used a machine learning algorithm, random forest (a type of interpretable highly non-linear decision tree), to predict in-person and...
Paper Details
Title
Is Infidelity Predictable? Using Explainable Machine Learning to Identify the Most Important Predictors of Infidelity
Published Date
Aug 25, 2021
Journal
Volume
59
Issue
2
Pages
224 - 237
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