Article: A Decision-Making Model Applied to Collegiate Courts

The article presents a decision-making model for collegiate courts that uses logistic regression and decision trees to estimate the votes of the members of the collegiate body. The model is applied at the level of individual votes, providing information on how different factors can influence decisions within collegiate courts.

The results highlight the effectiveness of the methods used: the decision-tree-based model achieved a success rate of 81.33% in the test sample, while the regression model achieved 65.4%. These analyses offer important insights into the factors that influence decisions in collegial contexts.