Intelligent and autonomous networks require precise and fast mechanisms that ensure error-
free and efficient operation. Modern solutions are increasingly based on artificial
intelligence, in particular on machine learning, to reliably process huge amounts of data.
Therefore, high-quality datasets are essential to train machine learning models.
Unfortunately, the problem of assessing the quality of datasets is very challenging and often
overlooked. This paper proposes a method for assessing the dataset quality in the context of …