Multi-Label Classification

Multi-Label Classification is the supervised learning problem where an instance may be associated with multiple labels. This is an extension of single-label classification (i.e., multi-class, or binary) where each instance is only associated with a single class label.

<span class="description-source">Source: Deep Learning for Multi-label Classification </span>