Freaks City

One-Class SVM (OCSVM) is a variant of Support Vector Machine designed for anomaly detection in an unsupervised setting. Unlike traditional supervised SVMs that require both positive and negative examples, OCSVM learns a decision boundary using only data from a single class (typically the normal class). Its primary goal is to identify novel or a ...

1. Anomaly Detection Anomaly detection identifies unusual patterns that deviate from expected behavior. While primarily an unsupervised learning task, it shares characteristics with supervised learning in certain aspects. 1.1 Algorithm Overview Given a dataset of normal examples, the goal is to build a probability model that flags observations ...