The invention discloses a landslide susceptibility evaluation method based on GBDT-LR and an information amount model, which combines characteristics of landslide development of a research area, comprehensively considers research results of previous people based on GIS, Python and other software, and finally determines 13 evaluation factors. A landslide susceptibility evaluation model is constructed based on an information amount model (I) and a gradient boosting decision tree-logistic regression (GBDT-LR) algorithm, the problem of asymmetry of landslide samples is solved by adopting a Borderline-Smote algorithm, the evaluation model is evaluated through a frequency ratio, a ten-fold line cross validation and an ROC curve, and finally, a Guiding pool susceptibility zoning map is made. The rationality of the prepared landslide susceptibility zoning map is analyzed in combination with actual conditions; a reference is provided for the possibility of landslide occurrence, and a scientific reference basis is provided for the government to treat landslide disasters.