Which of the following statements about the relationship between the decision tree and the linear model is indeed FALSE?

Group of answer choices

Both the linear model and the decision tree potentially overfit the datasets.

The decision tree is a nonlinear model with more complexity than the linear classifier.

The decision tree model can be easily modified to process regression problems.

The decision tree model is always better than the linear classifier because the decision tree is simple, uses the most informative features, and is easy to understand.