Research on prediction of multi-class theft crimes by an optimized decomposition and fusion method based on XGBoost

of OVO-XGBoost model is improved by more than 7%, and the MacroR accuracy is also improved by more than 15%. The model proposed in this study has a good effect on the classification and prediction of theft types, and is of great significance for the prevention of theft cases.