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Answering your question: yes, depending on the hyperparameters you choose, you could overfit the considered normal data, if you fit your separating hyperplane between normal and novel points being too much "shaped" on your input data. There are, for instance in case of one-class support vector machines, some important hyperparams like nu or gamma: ...


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