Other important factors in a successful relationship include feeling close to, appreciated by, and sexually satisfied with your partner, says the study – the first-ever systematic attempt at using machine-learning algorithms to predict people’s relationship satisfaction.
The massive machine-learning study, conducted by Joel, Paul Eastwick from the University of California, Davis, and 84 other scholars from around the world, delved into more than 11,000 couples and 43 distinct self-reported datasets on romantic couples.
This expansive study, published by Proceedings of the National Academy of Sciences, provides provisional answers to the perennial question: “What predicts how happy I will be with my relationship partner?” Joel used machine learning, an application of artificial intelligence (AI), to comb through vast combinations of predictors – far more than a single researcher could hope to analyze in a lifetime – to find the most robust and reliable predictors of relationship satisfaction.
Joel notes she was surprised the study showed that one partner’s individual differences predictors – like life satisfaction, depression or agreeableness – explained only 5 percent of the variance in the other partner’s relationship satisfaction.
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