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 ...

A binary classification problem is one where the goal is to predict a discrete variable that has exactly two possible values. For example, you might want to predict a person's sex (male or female) ...

While pretraining introduces unavoidable statistical errors, the study argues that post-training and evaluation practices ...