Business owners have to make decisions every day on issues fraught with uncertainty. Information is not perfect, and the best choice is not always clear. One way to handle these vague situations is to ...

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 ...

The Data Science Lab Binary Classification Using a scikit Decision Tree Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained ...

One of the most important components of decision making is process organization. Using a decision tree to choose between different courses of action presents possible outcomes in graphic form, making ...

Data classification means categorization of data into different category according to rules. This paper is to extract a kind of “Structure” from a sample of objects. To rephrase it better to learn a ...

Over the past several decades, organizations have invested vast resources in data infrastructure to improve decision success, but the results are mixed. A new approach called “decision-back” flips the ...

As businesses increasingly emphasize data-driven decision-making and returns on investment, leaders can find themselves buried in numbers. While key performance indicators and success metrics are ...

Clinical Relevance of Noncoding Adenosine-to-Inosine RNA Editing in Multiple Human Cancers The essence of guideline recommendations often is intertwined in large texts. This impedes clinical ...