There are many other techniques for binary classification, but using a decision tree is very common and the technique is considered a fundamental machine learning skill for data scientists. There are ...

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 ...

This phenomenon is known as algorithm aversion, and is often attributed to an inherent mistrust in machines. However, systematically overriding an algorithm may not necessarily stem from algorithm ...