What is one limitation of each model?

Each model has its own limitations. For instance, linear regression assumes a linear relationship between variables, which can oversimplify complex data patterns. Decision trees may overfit the training data, leading to poor generalization on unseen data. Neural networks, while powerful, require large amounts of data and computational resources, and can be difficult to interpret.