Statistical Methods, AI, Performance Metrics, Data Analysis, Graph.
classification algorithms for multi-class tasks. Multi-label Classification: In multi-label classification tasks, the goal is to predict zero or more classes for each input example. This means that there is no mutual exclusion, and a data point can belong to more than one class. Examples include