Decision trees are one of the most common approaches used in supervised machine learning. Building a decision tree ... and transform your data in preparation for building decision tree models in ...

Implementation of a greedy Decision Tree Classifier from scratch using pandas for efficient data handling, multi-way splits on discrete feature sets, and maximization of an information gain cost ...

Abstract: A decision tree is a tree whose internal nodes can be taken as tests (on input data patterns) and whose leaf nodes can be taken as categories (of these patterns). These tests are filtered ...

Abstract: This work introduces a novel interpretable machine learning method ... function and decision trees as experts. Our proposed method is ideally suited for problems that cannot be ...