Classification methods are widely used in computer-based medical systems. Often, the accuracy of a classifier can be improved using a classifier ensemble, the combination of several classifiers. Two classifiers ensembles and their results on several medical data sets will be presented: Rotation Forest (Rodr?guez, Kuncheva and Alonso) and Random Oracles (Kuncheva and Rodr?guez).