Construction Cost Index Prediction Based on Machine Learning

Construction projects have a great impact on the cost of construction in the process of carrying out construction, which is directly related to the quality of the construction of the entire project. Therefore, it is necessary to continuously improve the understanding of the construction industry. Machine learning is the use of the powerful computing power of computers, through the continuous update and recognition of data, so as to obtain a large amount of effective information. This paper presented a predictive analysis of construction project costs with the help of machine learning, with the aim of accurately calculating project costs and predicting construction costs. The paper used experimental design, case studies and data comparison to study the construction cost index. The experimental test results showed that the stability value reached a minimum of 87% and the stability of the system performed well in the three cases.