Research

CHD risk prediction.

Three ML models trained on 15,000 CDC health survey respondents to predict coronary heart disease. When you measure with the right metric, logistic regression outperforms gradient boosting and a neural network — replicating a key finding from the ML literature that simpler models often win on tabular data.