Earthquake classification method and system based on multi-dimensional feature extraction and XGBoost

The invention provides a seismic classification method and system based on multi-dimensional feature extraction and XGBoost, and the method comprises a seismic property rechecking step, a multi-dimensional feature extraction step, a feature analysis and feature selection step, and an XGBoost algorithm training classification step. Through combination of seismic property rechecking, multi-dimensional feature value extraction, feature analysis, feature selection and XGBoost algorithm training, a standardized feature data set is established, then an XGBoost classification model is constructed, and XGBoost classification model generalization ability test is carried out to determine an optimal XGBoost classification model to realize seismic intelligent classification, so that the record difference of different types of earthquakes is effectively highlighted, and the accuracy of earthquake classification is improved. The classification method is high in training speed, the generalization ability of the classificati