In the model building of oversampled data, the AUC of all models is greater than 0.800. Among them, the performance of the XGBoost model is better than other models, the accuracy rate: 85.1%, the precision: 0.810, the recall rate: 0.909, the F1 score: 0.857, and the AUC value is high Based on the AUC of the LR model, it shows that the diagnostic efficiency of the machine learning algorithm is higher than that of the traditional LR model, and it has good predictive performance.
正在翻译中..