The Rough Set Theory (RST) opened a new direction in the development of incomplete information theories and is a powerful tool for the analysis of data. In this investigation the possibility is demonstrated of using this theory to generate knowledge on a data set. A proposal is developed to characterize sets of training, using measures of estimation of the RST. The proposal has been studied experimentally using international data bases and satisfactory results have been obtained.