Q Imagine you have just finished training a decision tree for spam classification, and it is showing abnormal bad performance on both your training and test sets. Assume that your implementation has no bugs. What could be the reason for this problem?

Choose Your Answer

Click an option to check whether your answer is correct.

• A Your decision trees are too shallow ✔ ✖
• B You need to increase the learning rate ✔ ✖
• C You are overfitting ✔ ✖
• D All the options ✔ ✖