Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily interpretable, but often don't work well with large ...

Objective: To determine whether classification tree techniques used on survey data collected at enrollment from older adults in a Medicare HMO could predict the likelihood of an individual being in a ...

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 ...

Clinical Relevance of Noncoding Adenosine-to-Inosine RNA Editing in Multiple Human Cancers In total, 60 CDTs were necessary to cover the whole guideline and were driven by 114 data items. Data items ...