What is BDT?

BDT most likely refers to Binary Decision Tree. A Binary Decision Tree is a supervised machine learning algorithm used for both classification and regression tasks. It works by recursively partitioning the data into smaller subsets based on the values of input features. Each internal node in the tree represents a test on an attribute, and each branch represents the outcome of the test. The leaf nodes represent the final decision or prediction. BDTs are commonly used in various fields, including pattern recognition, data mining, and decision support systems, due to their interpretability and ability to handle both numerical and categorical data.