[D] Is this considered unsupervised or semi-supervised learning in anomaly detection?
Reddit - Machine Learning
1 min read
About this article
Hi 👋🏼, I’m working on an anomaly detection setup and I’m a bit unsure how to correctly describe it from a learning perspective. The model is trained using only one class of data (normal/benign), without using any labels during training. In other words, the learning phase is based entirely on modelling normal behaviour rather than distinguishing between classes. At evaluation time, I select a decision threshold on a validation set by choosing the value that maximizes the F1-score. So the repre...
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Originally published on April 07, 2026.
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