Multi-Class Classification assigns one label out of more than two possible classes. Algorithms like Softmax Regression, Decision Trees, and CNNs can handle multi-class problems. Commonly evaluated with metrics such as confusion matrices and macro/micro-averaged precision, recall, and F1.