Analysis and Forecast of Influencing Factors on House Prices Based on Machine Learning

Taking Shenzhen as an example, based on the relevant quantitative data affecting commercial house prices in Shenzhen from 2001 to 2020, the main factors affecting commercial house prices in Shenzhen were screened out by using Lasso regression, and grey prediction model was constructed by using the data passing the grade ratio test to predict the data of each variable in the next 5 years. Afterwards, a Support Vector Regression model was constructed to predict the trend of commercial house prices of Shenzhen based on the values of each variable from 2001 to 2025. The results of the study show that the main influencing factors of Shenzhen commercial house prices are the sales area of residential commercial housing, the purchase and sale prices of second-hand houses, etc. The growth of commercial house prices in Shenzhen from 2021 to 2025 is greater and faster compared to previous years. The analysis of the influencing factors and trends of Shenzhen's commercial house prices can provide reasonable policy suggestions for the development of the real estate industry and construction of long-term regulation of real estate in the future.