Skip to content

meetshrihari/One-Class_SVM_ML

Repository files navigation

Awesome Anomaly Detection

One Class SVM learning and coding

Data from

Some real industry data

OC-SVM for prediction of Anomaly

OC-SVM can be used for prediction:

  1. Keep "nu" which defines the first boundary- stating that the anomalous behaviour has started
  2. second boundary confirms the direction of the example (whether it will get anomalous or it will stay there)
  3. third boundary states how rapid it will go bad.

Author:

Shrihari Muttagi

About

One Class SVM learning and coding

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published