Figure 4.

Receiver-operating characteristic (ROC) curves and confusion matrices for the five-trial TAAFT experiment (mean ± standard deviation) and final model performance on the variable-sized validation set at the optimal training proportion (p_train = $\frac{1}{3}$). (a) AUC of the five trial TAAFT experiment fine-tuning on $\frac{1}{3}$ of the external dataset with an average of 0.916 (standard deviation represented by the light blue outline) and (b) the corresponding confusion matrix. (c) AUC of inference of the final model yielded 0.920 and (d) the corresponding confusion matrix on its variable-sized validation set.