Title: Application of machine learning algorithm in operator shop intelligent selection data

Authors: Chao Liu

Addresses: Business College, Jiangsu Vocational College of Electronics and Information, Huaian 223003, Jiangsu, China

Abstract: In order to improve the accuracy of data analysis, this paper applies machine learning algorithms to the analysis of smart selection data in operator shops. This paper introduces common machine learning algorithms, analyses the data to be analysed for intelligent selection in operator shops, applies machine learning algorithms to intelligent selection data in operator shops, and finally analyses the effect analysis of the application of machine learning algorithms, finally concluding that the analysis of intelligent selection data in operator shops using machine learning algorithms can not only improve calculation speed and calculation accuracy, but also improve generalisation. It can also reduce the omission rate of data, in which the omission rate of smart selection data of shop 5 is reduced to 5.67%. Machine learning algorithms will need to be applied in many more ways in future life.

Keywords: smart selection data; machine learning algorithms; operator stores; applied science.

DOI: 10.1504/IJES.2023.141927

International Journal of Embedded Systems, 2023 Vol.16 No.5/6, pp.343 - 353

Received: 28 Feb 2023
Accepted: 16 Sep 2023
Published online: 03 Oct 2024 *

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