The increasing depth of the industry-education synergy model in college education provides diverse development possibilities for college students’ innovation and entrepreneurship education work. This paper combines the work of innovation and entrepreneurship education in colleges and universities, and briefly analyzes its realization methods in the framework of industry-teaching integration. At the same time, from the perspective of the recipients, it initially constructs the evaluation index system of innovation and entrepreneurship education. In order to more accurately assess the results of innovation and entrepreneurship education in colleges and universities, this paper chooses the Extreme Learning Machine (ELM) algorithm as the identification algorithm. Because the prediction accuracy of ELM algorithm is low, the cuckoo search (CS) algorithm is used to improve it, so as to form CS-ELM algorithm. On this basis, the number of neurons in each layer, the learning rate and the training function are determined separately to design a set of innovative entrepreneurship education evaluation model. In the simulation experiment of this model, the comprehensive output value of University V is 0.7281. It shows that the current innovation and entrepreneurship education of University V is better as a whole, and further improvement can still be made.
