Which of these statements is NOT true?

Select an answer:

• For Decision tree and Random Forest, data scaling is required.

• Linear regression is advantageous when there is a linear relationship between independent variable(s)/feature(s) and dependent (target/response) variable.

• For Polynomial Regression, degree is one of the most important factors to affect the performance of the model.

• Support Vector Regression is sensitive to outliers, thus scaling is essential.