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The Promotion of Women's Leisure Sports Behavior Based on Improved Decision Tree Algorithm

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  • Huaping Luo

    (Hunan College of Chemical Technology, China)

Abstract

In women's daily leisure choices, sports is an important content that cannot be ignored. In this context, this paper studies the promotion of women's leisure sports behavior based on improved decision tree algorithm. Based on the simple analysis of the research progress of leisure sports and decision tree algorithm, a female leisure sports behavior model based on decision tree is constructed. Based on the decision tree algorithm, the calculation method of information gain rate is optimized to avoid logarithmic operation, and the continuous attributes are discretized. Simulation results show that in terms of classification accuracy, the improved decision tree algorithm is significantly higher than the classical decision tree algorithm, and can significantly shorten the running time, which has high application value in the realization of accurate classification analysis of female leisure sports behavior.

Suggested Citation

  • Huaping Luo, 2024. "The Promotion of Women's Leisure Sports Behavior Based on Improved Decision Tree Algorithm," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 20(1), pages 1-16, January.
    • Handle: RePEc:igg:jiit00:v:20:y:2024:i:1:p:1-16
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    1. Kasin Ransikarbum & Scott J. Mason, 2022. "A bi-objective optimisation of post-disaster relief distribution and short-term network restoration using hybrid NSGA-II algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 60(19), pages 5769-5793, October.
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