Practical Evaluation Analysis of Intelligent Product Design Using Decision Tree Algorithm
Beibei Wu
Transactions on Machine Design, Vol. 13, No. 1, 2025.
DOI: https://doi.org/10.6025/tmd/2025/13/1/9-16
Link: https://www.dline.info/tmd/fulltext/v13n1/tmdv13n1_2.pdf
Abstract:
The decision tree algorithm is an efficient machine learning technique that can help us better assess the
practicality of intelligent products. This paper explores the basic principles of the decision tree algorithm and
proposes a series of effective evaluation methods combined with practical applications to achieve better results.
Through experimental verification, the decision tree algorithm performs well in the practicality evaluation of
intelligent products (using clothing design as an example) and effectively addresses challenges in real-world
applications. Therefore, the decision tree algorithm can serve as an effective tool to enhance the quality and
competitiveness of product design for businesses.