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Figure 9 | BMC Bioinformatics

Figure 9

From: A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability

Figure 9

Discordance curves for the Affymetrix datasets. Rows represent different preprocessing pairs, while columns represent curves for different datasets. Within each cell, discordance curves corresponding to different classifiers are shown in separate colors. The color scheme is shown at the bottom of the figure. Within a cell the x-axis provides the signature size, while the y-axis gives the average percentage of cases, over 50 splits, of inconsistent class assignments on the unperturbed validation sets. For each dataset and split, the top-100 feature set was computed using the multi-rank strategy and this ranking was subsequently used for all classifiers in order to construct signatures.

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