Classification Accuracy for simulated fields of cells using the equal-sized class model. Simulated fields consisting of N1 cells from one class and N2 cells from a different class were generated as described in the text, with N1 + N2 = 12. A) The average accuracy across all N1 values are shown for the equal-sized class model (○) as a function of the model parameter β. The accuracy of the base single cell classifier is shown by the dashed line. The best accuracy (90.4%) of the equal-sized class model is obtained when β = -0.4. B) The improvement in average classification accuracy over the base single cell classifier is shown as a function of N1. Each point shows the average classification accuracy over 10 repeated trials for 12 cells for all possible pairs of classes for β = -0.4. The average accuracy of the equal-sized class model (○) and base classifier (□) are shown. The classification accuracy is better than that of the base classifier only when N1 = 0, the case when the set consists of just one class.