Machine learning analysis rule-based score type model optimization method

The invention discloses a score type model optimization method based on a machine learning analysis rule, and the method takes the continuous optimization application of an artificial intelligence algorithm in a model combination strategy as a design idea, achieves the automatic and intelligent optimization of the model combination strategy under the theoretical guidance of supervised learning, unsupervised learning, rough set and granular calculation, and improves the optimization efficiency of the model combination strategy. According to the method, multi-granularity analysis can be carried out on related data of a trigger model through an AI technology, learning trial calculation is carried out through various optimization strategies for different business scenes, the subjectivity and trial calculation finiteness of business experts can be overcome, hidden information can be more fully mined, a better combination strategy is obtained, business personnel are assisted to automatically optimize the model, and