A decision tree is a flow chart created by a computer algorithm to make decisions or numeric predictions based on information in a digital data set. Decision trees can be used for both classification ...

The two main downsides to decision trees are that they often don't work well with large datasets, and they are highly susceptible to model overfitting. When tackling a binary classification problem, ...

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 ...