<p>In order to improve the evaluation effect of land use efficiency, this paper uses the data envelopment analysis model to evaluate the urban land use efficiency in southern Hebei. In order to improve the effect of data envelopment analysis, a fault classifier driven by model and data fusion is designed in this paper, and a fast calculation method of continuous interruption power flow considering reactive power is proposed, which can quickly provide reliable and complete power flow information for successive interruption research, and improve the efficiency of corresponding static safety checking and control. Moreover, this paper combines the actual situation of land use evaluation to construct an evaluation model of urban land use efficiency in Southern Hebei based on data envelopment analysis. Through the analysis of ROC curve and AUC value, it can be seen that the model in this paper has high classification accuracy and strong generalization ability. By introducing model driven input features into traditional data-driven classifiers, the generalization ability of ML is improved. Introducing data-driven ML into model driven methods can improve the speed of power flow calculation. The simulation test results show that the urban land use efficiency evaluation model in southern Hebei based on data envelopment analysis proposed in this paper has a certain effect, which can effectively improve the effect of land use evaluation.</p>