Обучение дерева решений — это predictive modeling approach, который изучает tree structure из observations about examples. Learned branches encode tests или conditions, а leaves represent conclusions about a target value или category.
Uses a decision tree (as a predictive model) to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves). It is one of the predictive modeling approaches used in statistics, data mining and machine learning.