How to interpret feature importance (XGBoost) in this case? I found two dominant features from plot_importance.  My dependent variable Y is customer retention (whether or not the customer will retain, 1=yes, 0=no). My problem is I know that feature A and B are significant, but I don't know how to interpret and report them in words because I can't tell if they have a position or negative effect on the customer retention. Is there a way to find that out or anything that helps make it clear? 

Thanks.
I think you can find the correlation matrix for the feature which could provide you with evidence to justify your hypothesis.