The figure shows how test and training error change with model complexity. Which of the following statements are correct?

A. The big gap between test and training error on the left hand side of the plot is indicative of over-fitting. B. Both curves will continue to decrease as complexity increases C. As complexity continues to increase, the training line will continue to decrease but the test line will bend upwards D. A linear regression model should work well in this instance. Model performance vs complexity Training Test MSE + . . .... . . ... . . . . .. . . .. O 2 3 4 5 6 7 8 9 10 Model complexity