The invention discloses a shield tunneling machine tunneling parameter prediction method based on polynomial regression. According to the invention, the big data processing method based on machine learning is applied to shield engineering data processing for the first time; characteristic learning is carried out on shield engineering big data through a machine learning method after cleaning and statistical processing. By means of the data high-level feature extraction capability of a machine learning algorithm, operation parameters and operation efficiency are efficiently modeled, so that instructive suggestions are made for parameter adjustment of a shield in engineering, and the characteristics of artificial intelligence are achieved.