A number of multi-variate PDE (probability density estimators) methods are compared for the discrimination of signal from background in the selection of neutral pion candidates reconstructed at the ALEPH experiment at CERN. In this case-study, the question "Which method is the best choice?" reveals that the answer depends strongly on the size of the data set used to train and optimise the method, and the required simplicity of the algorithm.