Fig. 7.

Stepwise optimization of classification analysis to obtain the highest training (magenta and cyan for ${\mathrm{O}}_2\mathrm{Hb}$ and HHb, respectively) and test (red and blue for ${\mathrm{O}}_2\mathrm{Hb}$ and HHb, respectively) accuracies in (a) activation, connectivity features in the (b) entire measurement, (c) baseline, and (d) task intervals for (a1)–(d1) ${\mathrm{O}}_2\mathrm{Hb}$ and (a2)–(d2) HHb. Scattered points represent the averaged accuracies across cross-validated subsets; neighboring patches are associated with the standard error of accuracies. Dashed lines indicate the highest summation of cross-validated and averaged training and test accuracies.