Predicting individual differences in peak emotional response.

Step 2: machine learning and cross-validation A combination of state, highest-level trait metrics, and demographics yield the most parsimonious predictive model of chills occurrence (SVM) Using the feature set described above (highest-level summary trait metrics; 15 total features), the classification scheme yielded a highly significant prediction accuracy (68.2%; P < 0.001).

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