Research on the construction of the intrinsic mechanism path of collaborative cultivation in Civic and Political Education, Innovation and Entrepreneurship Education based on Machine Learning Models

In this paper, on the basis of clarifying the relationship between innovation and entrepreneurship education and college civic education, the DA-BP neural network model is used to establish the evaluation index system of college professional civic education and innovation and entrepreneurship collaborative education teaching, and design the weight calculation model of collaborative education indicators based on the AHP. The output of the BP neural network evaluation model of the indicators, the AHP output corresponding to the collaborative education of college civic education and innovation and entrepreneurship. Teaching effect evaluation value, from the evaluation results can be known collaborative parenting path inner mechanism. Most students start their own business to solve their own employment problems (64.2%), followed by improving the conditions of life (38.4%), indicating the lack of correct value leadership in innovation and entrepreneurship education. In terms of the depth of collaborative parenting, the highest weight is the depth of ideological understanding (0.4122), indicating that it is and its importance to make the participants’ ideas highly unified in the path of collaborative parenting. In terms of the breadth of collaborative parenting, the curriculum system has a weight value of 0.4128, so we need to provide the school with a full range of collaborative parenting programs.