Make Multiple Choice Questions from the given notes with 4 options. Three of them are wrong and one of them is correct.
I would be happy to help you create multiple choice questions from the given notes. Please provide me with the notes you have.
overfitting means the model is memorizing instead of generalizing. the model could also overfit to the validation data by adjusting itself slightly until the validation set is perfect but others would fail.
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