Review on Classification Algorithm and Evaluation System of Machine Learning

Classification is an important part of machine learning, and considerable progress has been made in related algorithms and applications. This article introduces 5 basic single classifier models in solving classification problems. Firstly, the core idea of the model is explained. Secondly, the advantages and disadvantages of each model and application scenarios are compared. Thirdly, the evaluation method of the classifier and the performance index of the classifier are discussed. Finally, the bottleneck and development status of the basic classification model are analyzed.