  This paper aims to analyse adolescents' road accidents in Tuscany. The
analysis is based on the Database Edit of Osservatorio di Epidemiologia della
Toscana. Complexity and heterogeneity of Edit's data represet an interesting
scope to apply Machine Learning methods. In particular, in this paper is
proposed an analysis based on a Bayesian probabilistic network, used to
discover relationships between adolescents' characteristics and behaviours that
are more often associated with an audacious driving style. The probabilistic
network developed by this study can be considered a useful starting point for
follow up reasearches, aiming to develop a causal network, a tool to limit this
phenomenon.
