Thank you for the challenge, I have a few questions:
Is it ok to manually hand-label the examples from the provided dataset (with 2200 groups) if a trained model will generalize the data with unknown teams added (dataset with 22000 groups)?
What does the score/secondary score columns on the leaderboard means? According to the description, “score” is a quality on the dataset with 2200 groups, “secondary score” is a quality on the dataset with 22,000 groups, but the rules state: “The results achieved must not deviate by more than 5% when run against datasets with different team images.”. Does it mean that must be gap no more than 5% between score/secondary score columns on the leaderboard?