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A model node consists of models that are similar. The models in a Model node must satisfy the following;
All models must have the same function type (Classification, Regression, Clustering, Anomaly Detection, Association Rules or Feature Extraction). You cannot include models that have different function types.
You can add models built using different algorithms as long as the models have the same function type.
Classification or Regression models must have the same target attribute and the target attributes must all have the same data type.
CHAR
and VARCHAR2 are considered to be the same data type for Classification models.
Classification models must have the same list of target values.