What are some techniques of hypothesis testing for model building?



I am currently solving one classification problem in which I am trying hypothesis testing for variable significances.I have currently used two hypothesis techniques

t-test - used for testing difference in mean of an independent variable w.r.t to two categories of dependent.

chi-sq test - for testing interdependency for a categorical variable on categorical dependent.

I want to know some more techniques which can be used for building a classification model.


You can use permutation testing it will be time consuming.