Use the Specify Column Content and Data Type page to specify the usage and data type for each column that you selected on the previous page of the wizard. If you want to ignore the column, click Back to return to the page Specify the Training Data, and clear all checkboxes.
The usage of a column indicates how the data will be used in the model. A column can be used as a key to identify a series, as an input value to use in analysis, or as the value that you want to predict. Columns can be used for both prediction and input.
The data type specifies additional detail about the type of data that is contained in the column, and how the data will be used during training. Some content types require a specific data type, and vice versa. You might also need to specify a particular data type depending on the algorithm that you use when you create a mining model. For information about content types and data types in mining models and structures, see Content Types (Data Mining).