Hence, evaluating systems based on performance metrics such as accuracy and F1 scores provides no insight into the differences between the systems and is not able to accurately quantify the similarities between them.
a small difference in accuracy does not necessarily imply a high similarity of the outputs, and, vice versa, a larger difference in accuracy does not necessarily signify vastly dissimilar outputs.