Question: What does it mean to underfit your data model?

1. There is too little data in your training set.
2. There is too much data in your training set.
3. There is not a lot of variance but there is a high bias.
4. Your model has low bias but high variance.

Answer: The correct answer of the above question is Option C:There is not a lot of variance but there is a high bias.