Data Used for Model Building

Oracle Data Miner does not necessarily use all the columns in a data source when it builds models. Build Model nodes use a set of heuristics to determine whether to exclude columns from the model building process or change the mining type from numerical to categorical only:

• There are several reasons for not using a particular column for model building. If a column does not contain useful information, it is usually not used.

  The exact list of attributes used as input to build the model depends on the algorithm used to build the model. If an algorithm does not support a data type, then Oracle Data Miner does not use attributes with that data type as input.

  For models that have targets, such as Classification models, the target cannot be text.

• The same mining types are used for all models.

If you are connected to Oracle Database 12c, then you can specify characteristics of Text attributes when you edit the build node.