Multi-Class Classification Using a scikit Decision Tree Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be ...

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. Figure 2 ...

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 ...