Optimizing Decision Trees for the Analysis of World Englishes and Sociolinguistic Data

This Element introduces PrInDT, a decision-tree method for modeling extra- and intralinguistic variables in World Englishes. It balances interpretability and accuracy, handles unbalanced classes, supports classification and regression, and analyzes multiple variables, with examples from England, Singapore, and St. Martin.