AI engineering glossary · Classical ML algorithms
What is One-class SVM?
One-class SVM: A margin-based method trained only on normal data that learns a boundary around it. Points falling outside are flagged as anomalies. It suits cases where abnormal examples are rare or unavailable.
One-class SVM: an example
Training on a month of normal server logs and alerting when a new log vector lies outside the learned region.
Related terms
More Classical ML algorithms terms
- One-vs-one
- One-vs-rest
- Ordinary least squares
- Out-of-bag error
- Perceptron
- Permutation importance
- Polynomial kernel
- Polynomial regression
Where you learn it
One-class SVM is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.