Regression and Classification Quiz

What you'll be asked

1. Which of the following scenarios is a classic example of a regression problem?
2. When building a model to predict whether a customer will churn (leave) or stay, which type of machine learning task are you performing?
3. If you are training a model to predict the exact number of units of a product that will be sold next month, which metric would be most appropriate to evaluate your performance?
4. A model is predicting the sentiment of customer reviews as 'Positive', 'Neutral', or 'Negative'. What type of classification is this?
5. You notice that your regression model performs perfectly on the training data but fails to generalize to new, unseen data. What is the most likely cause, and how does it relate to the model's complexity?

Answers and explanations come after you submit.