Research on Performance Evaluation of Industrial Economic Management Based on Improved Machine Learning

Aiming at the problem of poor self-protection ability caused by too many iterations in the performance evaluation system of industrial economic management, a study on performance evaluation of industrial economic management based on improved machine learning is proposed. In terms of hardware design, design and deploy the system storage architecture and network environment for system operation; In software design, the improved machine learning algorithm is used to screen out appropriate evaluation indicators from the set of factors that affect the performance evaluation of industrial economic management. After the evaluation indicators are determined, the rating threshold is divided, and the total score of performance evaluation is calculated according to the score and weight of each indicator, which is compared with the rating table one by one to achieve the performance evaluation of industrial economic management. So far, the overall design of the system has been completed. The test results show that the industrial economic management performance evaluation system designed based on improved machine learning has low sensitivity, high fluency and high self-protection ability.