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 model must be easily ...

After training decision trees against data, the algorithm is then run against new data in a test set. Before algorithm training, a test set is randomly extracted from the original set.

A special category of algorithms, machine learning algorithms, try to “learn” based on a set of past decision-making examples. Machine learning is commonplace for things like recommendations ...

How AI Provides Decision-Making Insights. ML algorithms form the backbone of AI's ability to transform data into actionable insights. For businesses, mastering these algorithms is key to unlocking ...