Analysis of Different Statistical Indicators for Machine Learning

As a matter of fact, machine learning has been widely adopted in various fields on account of rapid development of computing ability in recent years. In reality, with advances in computer hardware and the explosion of data, machine learning has become an ideal choice for processing this data. With this in mind, processing such large amounts of data requires a lot of computing power and algorithms, and also offers a wide range of applications for machine learning. On this basis, this article mainly considers the formulation and application of statistical measures from his three aspects: classifier, regression, and clustering. To be specific, different metrics are presented and real examples are discussed in the various situation in detail. In addition, current application scenarios and limitations of machine learning are presented. At the same time, the prospects for further study are proposed. Overall, these results shed light on guiding further exploration of machine learning.