How do you explain classification metrics to business users?

Let's say you are working on spam email detection. You build a classification model (e.g, LightGBM) after carefully evaluating 100 samples in the test set.

The model scores

Accuracy: 60%
Precision: 85%
Recall: 46%
F1: 60%

How do you explain these numbers to business users?

Are those 4 metrics enough to measure model performance? What metrics would you add to ensure that your model is undoubtedly good?

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