Adding recommendations to the output of a classification model
Decision tress can be plotted in python, this is the most visualizing machine learning algorithm, you can see a link here: https://medium.com/@rnbrown/creating-and-visualizing-decision-trees-with-python-f8e8fa394176.

For everything else you need to do data exploration again. Try to visualize in bar plots, for example you can show, if you have class 'X' and 'Y', what your confidence intervall of your future 1 if it is class X and what if it is class 'Y'.