Machine learning v. traditional regression models predicting treatment outcomes for binge-eating disorder from a randomized controlled trial.

Different analytic approaches revealed some predictors of key treatment outcomes, but accuracy was limited. Machine-learning models with unbiased resampling methods provided a minimal advantage over traditional models in predictive accuracy for treatment outcomes.