Figure 6.

Prediction error of DLDA classifiers on breast cancer datasets by within-dataset and across-dataset cross-validation. Decision rules trained on ER-status. Ellipses are centered on the mean 1-AUC of the associated ROC curves. The major axis points in the direction of maximum variance. Lengths of the major and minor axes are proportional to the standard deviation of the data in each direction. Column 1: Prediction error of decision rules based on univariate ranking. Column 2: Prediction error of decision rules based on random selection of features from a subset with a priori disease relevance.