If our model categorizes A as "GOOD" and it tells that the quality of A is "HIGH", the practicality is "HIGH" and the price is "LOW", we can regard these values of attributes as good explanations that illustrate why the model judges A to be "GOOD".
if our model produces the same values for the attributes, but it tells that A is a "BAD" product, we then think the model gives bad explanations.