To choose the suitable benchmark data for data-driven controller performance monitoring from data based on kinds of multiple mode in the history database,a new method based on multiple variables classification is proposed. First the method provides a combined similarity factor to measure the similarity between real-time acquisition data and data from some mode in the history database, and then it determines the mode that real-time data belongs to, finally it assesses the controller performance. Simulation study demonstrates the efficiency of the proposed approach.