Deep learning vs conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study

Figure 2 Schematic diagram of k-fold cross validation procedure for k = 5. This method is considered more reliable than a random train-test split, which would be analogous to training only one model, instead of the average of k models. AUC: Area under the receiver operator characteristic curve.