We can state the problem of learning decision trees as follows: We have a set of examples correctly categorised into categories (decisions). We also have a set of attributes describing the examples, ...

After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...

While both models showed remarkable prediction accuracy, decision trees offered an added advantage: interpretability.

In a study from the Institute for Artificial Intelligence and Decision ... to evaluation in machine learning.” There’s no simple solution to the dataset annotation problem — assuming that ...

After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...