What is One-Class SVM?
An example of an AI chatbot conversation about One-Class SVM in machine learning.
Can you explain what One-Class SVM is?
One-Class SVM is a type of Support Vector Machine used for anomaly detection. It learns from a single class of data.
How does it differ from regular SVM?
Unlike regular SVM, which classifies data into two or more classes, One-Class SVM focuses on identifying outliers in a single class.
What are some applications of One-Class SVM?
It's commonly used in fraud detection, network security, and fault detection in manufacturing.
Can you give an example of how it's used in fraud detection?
Sure! In fraud detection, One-Class SVM can be trained on legitimate transactions to identify any transactions that deviate significantly from this norm.
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