What is a Decision Tree?
To create your own decision tree, use the template below. The decision tree is typically read from top (root) to bottom (leaves). A question is asked at each node (split point) and the response to that question determines which branch is followed next. The prediction is given by the label of a leaf. The diagram […]
Pruning Decision Trees: A Guide to Pre-Pruning and Post-Pruning
What is Decision Tree Pruning? Decision tree pruning is a technique used to simplify a decision tree after it has been built. Without pruning, trees can become too complex—fitting perfectly to the training data, but performing poorly on new data. This is known as overfitting. Pruning addresses this by removing branches that offer little or […]
