If-Then rules [59–64] extracted from the unpruned trees for intensity, unpleasantness and pain-related suffering in the phasic condition.

<p>If-Then rules [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0199814#pone.0199814.ref059" target="_blank">59</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0199814#pone.0199814.ref064" target="_blank">64</a>] extracted from the unpruned trees for intensity, unpleasantness and pain-related suffering in the phasic condition.</p

The table displays median values and interquartile range, in parenthesis, of visual analogue scale ratings of intensity, unpleasantness and suffering that are used to classify each subject under the two categories of each target variable (“low” or “high”).

<p>The table displays median values and interquartile range, in parenthesis, of visual analogue scale ratings of intensity, unpleasantness and suffering that are used to classify each subject under the two categories of each target variable (“low” or “high”).</p

The table displays prediction accuracy values (in %) for high and low intensity, unpleasantness and suffering in the different pain conditions.

<p>Prediction accuracy refers to the soundness of the classification model to predict new data correctly.</p

Unpruned trees for intensity ratings in the phasic condition, as well as unpleasantness and pain-related suffering in the tonic condition.

<p>Each tree presents the different rules as well as the number of subjects that followed this rule (bottom boxes). The right leaf of the tree represents the amount of subjects who followed the rule (If true), and the left leaf the subjects who did not (If not). In general, the rules have the form: <i>if</i> condition1 <i>and</i> condition2 <i>and</i> condition3 <i>then</i> outcome [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0199814#pone.0199814.ref059" target="_blank">59</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0199814#pone.0199814.ref064" target="_blank">64</a>].</p

Summary of psychological variables and situational factors predicting intensity, unpleasantness and pain-related suffering in each condition.

<p>Summary of psychological variables and situational factors predicting intensity, unpleasantness and pain-related suffering in each condition.</p