Decision Tree, Cart, Machine Learning.
data. So, it fits very tightly on the training data. Now, the more the conditions applied on the train data in the tree, the deeper it grows, the tighter it fits the data. But after a point, it starts taking into consideration very small changes on some features, that give very low information