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Anomaly Detection models are built using a special version of the SVM classification, one-class SVM. The algorithm has these default settings:
Kernel function: The default is System Determined. After the model is built, the kernel function used (Linear or Gaussian) is displayed.
Tolerance value: The default is 0.001
Specify complexity factors: The default is Do Not
Specify the rate of outliers: The default is 0.1
Active learning: ON
Automatic Data Preparation: ON