Figure 2.

Training AUROC and validation AUROC for predicting high/low responders (y-axis) using xgboost against the training rounds (x-axis). It shows the model performances in training or cross-validation as the training rounds increased (increased model complexity) and compares the prediction performance when using trees with depth being 1 (low non-linearity) or 6 (high non-linearity).