
i.e. taking the test case data for previous decisions as a basis. This
way, the quality of decision-making rules was evaluated directly to
avoid dealing with the above-mentioned problem. The mean accuracy
for rule-based choices made in all network’s decision nodes is 57.8%
(SD = 15.5). Altogether, given the large potential variability for each
of the variables, the results are quite satisfying. For example, the
mean deviation of the predicted BoH orientation (the direction of the
vector running along the back of hand) is 37.4 degrees, with the worst,
opposite rating corresponding to a deviation of 180 degrees. Note also
that we are using a very ...