Gibbons KS, Chang AMZ, Sacks DA, et al. - Utilizing data from a large multi-centre cohort, researchers sought to develop a risk prediction model for large-for-gestational-age (LGA) infants, comparing the utility of logistic regression and naïve Bayes approaches. The authors compared the ability of two machine learning techniques to predict large-for-gestational-age (LGA) infants: logistic regression and naïve Bayes. Logistic regression can be used confidently to evaluate the link between clinical and biochemical variables and outcomes.