Abstract

In machine learning in the context of big data, It is indispensable link for the evaluation results and indicators of prediction results. Although it is not as important as the core algorithm, it plays a role in related applications and research fields. The role of horizontal comparison of learning algorithms. The article briefly summarizes and reviews the research results of basic machine learning algorithm evaluation standards. Different evaluation methods are applied to different machine learning problems, and the trends and difficulties of machine learning evaluation methods in the future are analyzed.

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