PREDICTION OF INTERNET ORDERS REJECTIONS BY CUSTOMERS USING THE APPROACHES OF MACHINE LEARNING

Authors

  • Klimenkova Nina National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine
  • Suprun Oleh National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine
  • Лаврій Софія Петрівна National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine

Abstract

In the paper the possibility of using machine learning approaches and algorithms to predict rejections by the end user during the Internet order is considered. The two most popular dependency detection algorithms have been studied, namely logistic regression and XGBoost. According to the testing on a large selection of real data, the conclusions were made.

Keywords: in-depth data analysis, machine learning, neural networks.

Published

2023-11-08

Issue

2021

Section

Machine learning, Big Data