Abstract: :With the increasing attention paid by the state to the construction of ecological civilization, people have been paying more attention to the bearing capacity of the geological environment in the area they live in, and new requirements have been put forward for the evaluation methods of bearing capacity of geological environment.This paper introduces machine learning method, and based on the evaluation theory of geological environment bearing capacity, puts forward the evaluation method of geological environment bearing capacity based on machine learning algorithm.By analyzing geological environment evaluation at home and abroad related results, analyzing various evaluation factors of geological environment and refining the main controlling factors that affect the bearing capacity of geological environment, based on this, the evaluation index system of the bearing capacity of geological environment suitable for machine learning is established, and combined with machine learning methods, build the bearing capacity of geological environment evaluation model based on machine learning algorithms, evaluate the regional geological environmental bearing capacity, taking Pengshan district of Meishan city as an example, carrying capacity evaluation is carried out, which provides a demonstration and evaluation method for the evaluation of the bearing capacity of the geological environment in other regions.