statistical independence testing

Statistical independence testing is a method used to evaluate whether two or more random variables are statistically dependent. Its primary goal is to determine the independence of variables through hypothesis testing, thereby providing a reliable basis for data analysis and modeling. This method has significant application value in fields such as machine learning, data mining, and statistics, helping researchers identify genuine relationships between variables, optimize model structures, and enhance prediction accuracy.