• Bayesian Rule List

• @Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
• The BRL is a generative model that yields a posterior distribution over possible decision lists, which consist of a series of if-then statements that discretize a high-dimensional, multivariate feature space into a series of simple, readily interpretable decision statements. The if statements define a partition of a set of features, and the then statements correspond to the predicted outcome of interest.
• According to the authors, their experiments showed that the BRL has predictive accuracy on par with the current top algorithms for prediction in Machine Learning
• The BRL is able to be used to produce highly accurate and interpretable medical scoring systems