QImagine 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 the Best Option

Click any option to instantly check if you're correct.

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

Share This Question

Challenge a friend or share with your study group.

Related MCQ Questions