Sure! Here are the questions. You can customize them to suit your needs, if you want.

1. What is overfitting in machine learning?

a) The model has high variance and low bias
b) The model is not suitable and has poor performance on the training data
c) The model captures the underlying trend accurately
d) The model memorizes the training data instead of generalizing

Answer: d

2. What is underfitting in machine learning?

a) The model has high variance and low bias
b) The model is not suitable and has poor performance on the training data
c) The model captures the underlying trend accurately
d) The model memorizes the training data instead of generalizing

Answer: b

3. Which of the following is a common pitfall in deep learning algorithms?

a) Underfitting
b) Overfitting
c) Capturing underlying trends accurately
d) None of the above

Answer: b
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence