Human brain syntactic function analysis method, system and equipment based on machine learning and medium

A human brain syntactic function analysis method, system and device based on machine learning and a medium, the method comprising: firstly constructing an extreme gradient enhancement algorithm (XGBoost) regression model sample set, training XGBoost regression models for voxels, then calculating an output signal of each XGBoost regression model through a Shapley addition interpretation theory, and calculating the output signal of each XGBoost regression model; a sample interaction matrix corresponding to the XGBoost regression model is obtained and statistics is carried out to obtain syntactic vectors of voxels, so that syntactic function intensity of the voxels and functional brain regions when the human brain processes different syntactic structures are obtained, finally, a syntactic network corresponding to the voxels is constructed through the interaction matrix, region classification is carried out on the voxels based on the structure of the syntactic network, and therefore, the syntactic function intens