You've just finished training a decision tree for spam classification, and it is getting abnormally bad performance on both your training and test sets. You know that your implementation has no bugs, so what could be causing the problem?

• A. your decision trees are too shallow.
• B. you need to increase the learning rate.
• C. you are overfitting.
• D. incorrect data