SVM and Automatic Data Preparation

You can prepare data by treating and transforming data manually or through Automatic Data Preparation (ADP) for Support Vector Machine (SVM).

The SVM algorithm automatically handles missing value treatment and the transformation of categorical data, but normalization and outlier detection must be handled by ADP or prepared manually. ADP performs min-max normalization for SVM.

Note:

Oracle recommends that you use ADP with SVM. The transformations performed by ADP are appropriate for most models.