Figure 5.

Performance of chosen models across randomized train–test splits. A, Accuracies of logistic regression, k-nearest neighbors, random forest, linear support vector machine, and eXtreme Gradient Boost on Monte Carlo simulation (1,000 randomly created 80-20 train–test splits) were compared with violin plots of model accuracy when trained and tested on standardized hDRG-N data. Plot represents the range of accuracies, and interior box and whisker plot shows quartiles and median. B, Table showing performance metrics of all models.