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Jiangsu, Zhejiang, and Shanghai are located in the Yangtze River Delta, with a high degree of openness to the outside world and a developed economy, which is the region with the most vital economic strength in the country. Studying the economic development of this region can refer to the development of other regions in China.Machine learning, as an integral part of AI, is an important driver of AI scientific research and application areas, and will bring about a series of fundamental changes in traditional decision-making mechanisms. Principal component analysis itself is an unsupervised machine learning algorithm that is mainly used for dimensionality reduction of data. This approach in this paper can reveal features of regional economic quality evaluation that are more convenient for our understanding.This article constructs an economic development quality evaluation system from four aspects: economic efficiency, innovation and development, people's lives, and sustainable development. The principal component analysis method is used to compare the economic development quality of 25 cities in Jiangsu, Zhejiang, and Shanghai, and at the same time, analyze the results. It is carried out evaluations, put forward countermeasures and suggestions for improving the quality of Jiangsu, Zhejiang, and Shanghai's regional economy, and help the high-quality development of Jiangsu's regional economy Zhejiang and Shanghai.
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Luming et al. (2021) studied this question.