There are analysis that are only possible with many datasets Here: unsupervised optimization Given multiple AD models, find which is best: Use AUC score? Requires Anomalies->Overfitting Can you find an unsupervised Method? In general very complicated, so here only focus on very small differences in the model. So each model is an autoencoder, trained on the same dataset, where the difference is only in the initialisation