Decision Tree Splitting

This animation demonstrates how a decision tree splits a mixed dataset of blue and orange points into pure regions by making three sequential cuts in feature space. As the tree structure grows with each split, a corresponding impurity bar shrinks to indicate that the data has become perfectly classified.