Fig. 3.

Proportion of accurate classifications for the 1, 2, and 3-dimensional classifiers (x-axis) on simulated datasets generated from a 1- (light gray), 2- (middle gray), or 3-dimensional (thick black line) feature space with random arrangement of the conditions. A simulation with features that were spaced maximally in 3-dimensional feature space is shown as a thin black line. Simulation runs are selected to have the same accuracy on the full classifier (0.58). Error bars indicate the 95% confidence interval when drawing and averaging over 40 independent simulation runs.