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Anomaly Detection models are built using a special version of SVM classification, one-class SVM. The algorithm has these default settings:
Kernel function, default is System Determined; after the model is built, the kernel function used (Linear or Gaussian) is displayed
Tolerence value, default is 0.001
Specify complexity factors, default is do not
Specify the rate of outliers, default is 0.1
Active learning, on.
Automatic data preparation, on
For more information, see Algorithm Settings for AD