One-class SVM with non-linear kernel (RBF)

Note Go to the end to download the full example code. or to run this example in your browser via JupyterLite or Binder One-class SVM with non-linear kernel (RBF)# An example using a one-class SVM for novelty detection. One-class SVM is an unsupervised algorithm that learns a decision function for novelty detection: classifying new data as similar or different to the training set. import numpy as n