Research on regional landslide hazard warning model based on logistic regression

In the process of urban construction and development, landslide disaster is the main factor affecting the health and safety of local residents. How to put forward effective prevention and management measures according to the previous accumulated experience is the main problem of scientific research. Although the traditional regional geological disaster early warning model played an important role during the work, it did not comprehensively predict and analyze the regional landslide disaster and its impact due to the low prediction accuracy, insufficient application precision and insufficient data collection information. Nowadays, scientific researchers propose to use logistic regression algorithm for optimization and innovation in practice. The regional landslide disaster prediction model with logistic regression as the core can better meet the needs of practical research, master the geological disaster prediction information of the local area, and help the staff of the department to quickly develop solutions. Therefore, on the basis of understanding the application and research status of regional landslide disaster warning model, this paper deeply discusses the regional landslide disaster warning model with logistic regression algorithm as the core according to the basic principle of logistic regression algorithm. The final experimental results show that the prediction model has strong generalization ability and training accuracy.