What to report in the build model, asses model and evaluate results steps of CRISP-DM?
The way you are trying to present the outcome is pretty good.

I cannot say that the following procedure is the standard procedure in my scenario I did something like this:


This is how I presented to my managers to make them understand the procedure which I followed.

I made a slide for each and every segment and highlighted the points which are necessary for them to be known.

While showing the results, I named the data(accuracies) differently 


Train Set Accuracy: Which is 70% of the total dataset, derive the accuracy % also called model accuracy
Test Set Accuracy: Test set which is 30% of the total dataset, derive the accuracy called Test Accuracy
Blind Test Accuracy: Which is completely new data, here I trained the model with whole dataset and then tested using the new data(you can also call it as Validation set)


This is how I presented:


Since yours is also a classification problem to explain it better I gave them the breakdown:



Do let me know if you have any issues, would love to help you.