Multi-feature house price trend prediction based on machine learning

Longyang Geng; Qihang Ran; Gengyuan Zhang; Dehua Zhou

doi:10.1117/12.2655963

12 January 2023 Multi-feature house price trend prediction based on machine learning

Longyang Geng, Qihang Ran, Gengyuan Zhang, Dehua Zhou

Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 125092D (2023) https://doi.org/10.1117/12.2655963
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China

Abstract

As a pillar industry in China, real estate has provided great help for economic development. At the same time, buying a house has become a topic everyone cannot avoid. Until now, many scientific literatures and materials have proved that gradient boosting is a basic strategy. In this paper, the authors first clean the captured data and select features. Then, three methods eXtreme Gradient Boosting (XGBoost), Random Forest, and Bi-directional Long Short-Term Memory (BiLSTM), are used to predict housing prices in Beijing, one of the most representative cities in China, to investigate and compare the efficiency gradient methods of the three methods. The above three models process and predict 23 factors that affect housing prices by collecting information on houses sold and sold in Beijing in recent years. The score curve is obtained by fitting, finally, the best model of prediction is selected by adjusting the parameters. The influence of different characteristics on housing price prediction is studied. The experimental results show that compared with XGBoost and random forest, BiLSTM has a greater advantage in forecast speed and accuracy and is the most suitable model for predicting housing prices.

Citation Download Citation

Longyang Geng, Qihang Ran, Gengyuan Zhang, and Dehua Zhou "Multi-feature house price trend prediction based on machine learning", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 125092D (12 January 2023); https://doi.org/10.1117/12.2655963

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KEYWORDS

Data modeling

Machine learning

Neural networks

Data analysis

Data processing

Error analysis

Feature extraction

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