Vanshika Kumarvanshikakumar.hashnode.dev·Apr 8, 2024Overfitting in Decision Tree ModelsIntroduction: Overfitting is a common machine learning problem in which a model learns the training data too well, resulting in noise and outliers. It happens when a model performs extremely well on training data but poorly on validation/test data. T...1 likedecisiontreeAdd a thoughtful commentNo comments yetBe the first to start the conversation.