Home > Model Nodes > Data Used for Model Build
Data Miner does not necessarily use all of 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 build. 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, 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.
To see which attributes are used to build a model and what the mining type of each attribute is, see Viewing and Changing Data Usage.
If you are connected to Oracle Database 12c, you can specify characteristics of Text attributes when you edit the build node, as described in Specify Text Characteristics.