Exploring the Intelligent General Algorithm Model by Taking Predicted Price as an Example
Authors: 
Feng Wang, Joey S. AvilesAuthors Info & Claims
Feng Wang, Joey S. AvilesAuthors Info & ClaimsPages 94 - 103
Abstract
This paper focuses on the prediction of laptop prices in an electronic market in Europe through machine learning, as the results of this study will be used in conjunction with an Internet platform system for users who purchase laptops to check prices based on the configuration of the laptops, serving as an advance price guide and thus saving the cost of purchase for users. The Pycaret package for Python was used for the entire prediction process during the study, firstly pre-processing the dataset and then comparing the performance of the dataset through various algorithms. Finally, the algorithm is optimized by using hyperparametric functions and integrated learning. The results show that although by ridge algorithm is the best performance but by integration learning can further improve the performance in one step and finally by integrating the model the R2 is calculated to be 0.9095. When the new laptop configuration data comes into the internet platform system, the laptop price will be automatically generated by the algorithm and the user will get the price of the corresponding configuration of the laptop directly which saves his time and cost.
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Published In
June 2022
166 pages
ISBN:9781450397322
DOI:10.1145/3545897
- Conference Chairs:
- Thomas Hanne,
- Wojciech Cellary,
- Jesus Garcia-Madariaga
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Published: 21 September 2022
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ICIEB 2022
ICIEB 2022: 2022 3rd International Conference on Internet and E-Business
June 15 - 17, 2022
Madrid, Spain
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