yano_pres/prep/25Unsupervised_Optimization/q

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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