To analyze the factors affecting the efficacy of mite subcutaneous immunotherapy (SCIT) in allergic asthma patients aged 5-18 years, and to find the best predictive model for the curative effect. The data of 688 patients aged 5-18 years with allergic asthma who completed more than 3 years of mite SCIT from December 2006 to November 2021 in the Department of Respiratory Medicine, Children's Hospital Affiliated to Nanjing Medical University were retrospectively analyzed. Male, results of skin prick test (SPT), age, daily medication score (DMS), visual analogue scale (VAS) score, and enrollment season were defined as independent variables. R language models, including Logistic regression model, random forest model and extreme gradient boosting (XGboost) model, were used to analyze the impact of these independent variables on the outcomes. The receiver operating characteristic curve was applied to compare the predictive ability of the models. Hypothesis testing of the area under curve (AUC) of the 3 models was pe