In recent years, therefore, attention has focused on the multi-label classification problem, which deals with data that has a one-to-many relationship between data and label information. For ...

Multi-Label Classification via Adaptive Resonance Theory-Based Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence , 2023; 1 DOI: 10.1109/TPAMI.2022.3230414 Cite This Page : ...

The variable to predict (often called the class or the label) is politics type, which has possible values of conservative, moderate or liberal. For PyTorch multi-class classification you must encode ...

A multi-class classification problem is one where the goal is to predict a discrete variable that has three or more possible values. For example, you might want to predict a person's political leaning ...