Figure 2

Leave-one-out cross-validation (LOO-CV) model weights obtained from Bayesian stacking. For both domains, \(GCMR\) has highest stacking weight, suggesting best predictive performance for trial-based data in the object-scene task.
Leave-one-out cross-validation (LOO-CV) model weights obtained from Bayesian stacking. For both domains, \(GCMR\) has highest stacking weight, suggesting best predictive performance for trial-based data in the object-scene task.