Percentage case inclusion as a function of confidence parameter. This graph shows the percentage of cases included for model current procedural terminology (CPT) classification (y axis) for a given cutoff of confidence parameter (x axis) for the support vector machine model. The Train/Test and Holdout data set accuracies are plotted. High (≥ 1.6), Medium (1.6 > confidence parameter ≥ 1.2), and Low (< 1.2) areas are labeled above the figure. Confidence parameter is a derived measure of relative probability between best-fit and second best-fit CPT classifications.