  By using a machine learning algorithms, we present an improved nuclear mass
table with a root mean square deviation of less than $200$\.keV. The model is
equipped with statistical error bars in order to compare with available
experimental data. We use the resulting model to predict the composition of the
outer crust of a neutron star. By means of simple Monte Carlo methods, we
propagate the statistical uncertainties of the mass model to the equation of
state of the system.
