What is ground truth?
Machine learning is called ground truth in the context of data that makes it possible to check the quality of models. This means, for example, that you have data that you know how the model would have to evaluate, for example because a person has previously evaluated it manually (and with a high degree of certainty). However, the ground truth can also include knowledge of certain distribution functions of data. A similar concept is the “gold standard test” in testing.
