  Mobile Data Offloading permits users to use cheap communication media,
whenever feasible, for delivering their personal data instead of using the
infrastructure which is more expensive. Having good procedures to assess and
compare the different possibilities a device has to send his data is crucial.
In the following paper, we propose an evaluating approach that takes into
consideration the topology changes history in order to provide an efficient way
to calculate the quality of a specific medium.
  In particular \textit{Bayesian Networks} are used as basis to provide our
solution to the Maniac Challenge 2013. Bayesian Networks is a statistical model
for the generation of inferences starting with very little information. In the
next sections we will give a definition of the Bayesian Networks focusing on
the simplest and computationally efficient of the Bayesian Networks versions,
named \textit{\naive Bayes}. Finally, we will show our method for the challenge
to evaluate the medium and the bid strategy.
