Prediction accuracies (and Rand indices) in Experiment 3, for all features and subject-specific GDA+DP-GMM model (second column), for features known a-priori, without having to ask subjects to rate similarities or draw sketch maps (third column), and finally using a subject-general model, without learning subject-specific feature weights.

Rows: Condition 3A (19 subjects, 48 map structures from as many distinct environments, 112 sub-maps), and condition B (54 subjects, 185 map structures from as many distinct environments, 310 sub-maps).