Fig. 7.

Prediction of participants’ choices using pain and money offer patterns. (A–C) Pattern expression during the decision phase of the pain (A) and money patterns (B) developed in the first part of the offers as well as their difference (C). Matrices were smoothed with a Gaussian kernel for display only. (D) Decision surface of the SVM classifier trained on the pattern expression of the pain and money patterns during the decision. (E) Classification accuracies of SVM classifiers predicting participants’ decisions based on the expression of the pain and money patterns or the combination of both. Boxes show the quartiles of the dataset, while the whiskers extend to show the range of the distribution. The diamonds show the mean accuracy across all trials, and the raincloud plots show the distribution of accuracies across participants. Error bars show the 95% confidence interval.