Problem with unbalanced data with examples attached

I am having a real problem with unbalanced data. Model ends with good scores (i.e. “accuracy”), but essentially all the the prediction models do is “put all chips on black” and the ones that are actually white are just “wrong classified”.

I tried 3 different predictor models and SMOTE and Row Sampling but no luck?!?

Anyone have any ideas or suggestions for very unbalanced data?

Thank you in advance!

I will attach workflow and database in next posts.