Two of the most common techniques for binary classification (at least among my colleagues) are PyTorch neural networks and scikit decision trees. Decision trees are useful for relatively small ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

Decision trees are a simple but powerful prediction method. Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split.