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Entrepreneurship “is a role that individuals undertake to create organizations” and entrepreneurial activity has been related to organizational leadership. We propose defining entrepreneur in a probabilistic way. In our view, a person can be classified as an entrepreneur depending on the probability s/he shows a set of traits. To test this hypothesis we have concentrated on the definition of potential entrepreneurs: undergraduate students who think they might be entrepreneurs in the future but have not yet owned and managed a business. We asked a sample of undergraduate students (n= 1,111; age average= 23.37, SD= 4.28, range= 17-56; male= 35%, female= 64.6%) to fill a questionnaire on attitudes towards entrepreneurship. The test had ten dimensions. We built a Naïve Bayes Net Classifier and a convergent Bayesian network in order to assess the influence of the test dimensions on the attitude towards organizations creation. Our results show that the convergent model is able to predict more than the 87% of the entrepreneurial tendency. We conclude that our probabilistic model is highly efficient predicting entrepreneurship. As a result, our framework considering entrepreneurship as a matter of probabilistic nature has been reinforced. The fact that entrepreneurship plays an important role in the productive system has been emphasized in