Comparison of prediction accuracy of USC and SC on the NCI 60 data. The percentage of prediction accuracy is plotted against the number of relevant genes using the USC algorithm at ρ0 = 0.6 and the SC algorithm (USC at ρ0 = 1.0). The horizontal axis is shown on a log scale. Because no independent test set is available for this data, we randomly divided the samples in each class into roughly three parts multiple times, such that a third of the samples are reserved as a test set. Thus the training set consists of 43 samples and the test set of 18 samples. The graph represents typical results over these multiple random runs.