Optimizing a tabular learner

I am looking to create a better churn classifier. Would love some help from the master @muellerzr

I have tried to increase the valid pct with RandomSplittler
I have tried multiple RFs to select the most predictive variables using RMSE

Note: Rerunning learn.fit a few times seems to get me the best results. All variables are continuous.