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 ...

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

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 ...

Structure-Based Screening: The EDT uses a highly refined set of detailed, structure-based questions to classify chemicals into toxicity categories with greater specificity than the Cramer Decision ...