Quality Evaluation of College Students’ Innovation and Entrepreneurship Education Based on Grey Correlation Algorithm

Grey correlation algorithm is a statistical method to identify the relationship between two variables. The algorithm calculates Pearson ρ Coefficient, which measures the between two variables. It can be used to identify and measure the relationship between various types of data sets, such as time series data or multivariable data (such as a set of quantitative variables). For example, it can be used to determine whether one variable predicts another. In this study, we will use “gray” because it has no color associated with it. This means that there are no clear boundaries on what is good or bad quality research. This article mainly studies the innovation algorithm. Firstly, several key indicators and were listed, including entrepreneurial awareness, entrepreneurial ability, and entrepreneurial environment. Next, the grey correlation algorithm is used to comprehensively evaluate these indicators and obtain the quality level education. The experimental results indicate that the method and entrepreneurship has high reliability and accuracy, and has certain reference value for evaluating the quality.