Classification

Classification is the task of assigning data points to predefined categories, aiming to train a model to accurately predict the category of new data. By training on a labeled dataset, the learning algorithm establishes a mapping relationship between data features and category labels, thereby enabling the prediction of the category for unseen data points. The performance of classification models is typically evaluated using metrics such as accuracy, precision, and recall. Classification techniques have significant application value in various fields, including image recognition, text classification, and disease diagnosis.