In this competition, your task is to predict one or more genres for each game in the test set. For each game ID, your prediction must be a single string containing the list of genres, separated by commas. This format should match how labels are provided in the train.csv file.

Submissions will be evaluated using the macro-averaged F1-score, which computes the F1-score independently for each genre and then takes the unweighted average across all genres.

This means that rare genres are treated equally to frequent ones, encouraging models that perform well across the full range of genre labels.

## Submission File
For each ID in the test set, you must predict a genres variable. The file should contain a header and have the following format:

    ID,genres
    0,”RPG”
    1,”RPG, Action”
    2,”RPG”
    etc.