# How to find significance for Gini coefficient changes?

I'm using the Gini coefficient to evaluate the performance of a model. Making some changes (feature selection, hyperparameter tuning, etc.) I created variant models with different Gini coefficients.

How can I prove that the improvement in the Gini coefficient is indeed statistically significant?

In R there is a package called DescTools within it you can find a method for calculating Gini Coefficients, where you can set a confidence level, and get intervals back using a bootstrap method (simulation)