Machine learning identifies the most important predictors of infidelity

So what factors predicted cheating? In men, the algorithm identified lower relationship satisfaction and a lack of romantic love as the two largest drivers. A higher desire to masturbate solo and decreased sexual satisfaction also contributed, though to a lesser extent. Interestingly, men who did not receive oral sex in the last month also were much more likely to cheat – it was the fourth most powerful predictor of infidelity.

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In women, the two strongest predictors of infidelity by far were lower levels of romantic love and a higher desire to masturbate by oneself. Lower sexual satisfaction, longer relationship length, good physical health, and lower relationship satisfaction also contributed to the likelihood of infidelity.

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