Base station position prediction method based on machine learning

The invention relates to the technical field of machine learning, and relates to a base station position prediction method based on machine learning, which comprises the following steps: S1, obtaining operator base station data, third-party base station data and signaling trajectory data; s2, calculating the distance between the base stations in the operator base station data and the third-party base station data, distinguishing according to a preset distance threshold value, and generating a white list base station table and a grey list base station table; s3, correcting the white list base station table and the grey list base station table according to the signaling track data; and S4, extracting the base station features of the white list base station to train a machine learning model, and predicting the base station features of the grey list base station by using the trained machine learning model. According to the method, each base station is divided in combination with multi-party data; the white list b