Answer the question and give your reason 3 Multiple Choice Select all issues arise in ML4CO A Learnability BData CRepresentation D Generalization

All of the above issues arise in ML4CO (Machine Learning for Collaborative Optimization).

Learnability is important in ML4CO because the algorithms need to learn from the data and adapt to different collaborative optimization scenarios.

Data is also crucial as ML4CO relies on large amounts of data to train the algorithms and make accurate predictions.

Representation refers to how the data is represented and processed by the algorithms. In ML4CO, the representation needs to be optimized for collaborative optimization scenarios.

Generalization is also an important issue in ML4CO as the algorithms need to be able to generalize their predictions to new and unseen data in order to be effective in real-world applications.