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Multi-label classification models predict multiple outcomes. In Aporia, these models are represented with the
Examples of multi-label classification problems:
- Is this song sad, happy, funny, rock, jazz, or all simultaneously?
- Does this movie belong to one or more of the 'romantic', 'comedy', 'documentary', 'thriller' categories, or all simultaneously?
If you have a model with multi category prediction, then your database may look like the following: