As a super AI Project Manager, what questions should you ask your data science dream team? (Choose all that apply)
- What is the distribution of the target data? Is it balanced?
- What other metrics are more representative of model performance?
- Is the model trained on coffee yet?
- What are the business implications of incorrect predictions?