Classification (statistics)
Classification in statistics is a type of Machine learning technique used to predict a categorical label or class that an instance belongs to, based on its characteristics. This technique is widely used in Data mining to identify patterns and relationships within large datasets. Regression analysis, on the other hand, is used to predict continuous outcomes. Classification models can be Probabilistic, providing a probability distribution over all possible classes, or deterministic, predicting a single class. The performance of a classification model is often evaluated using metrics such as Error (mathematics) rate, precision, and recall.