Data Type Specifications tell the model what form the data from each column is in so it knows how to properly compare values.
simRegression accepts the following Data Types:
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ID |
A mandatory field that uniquely identifies each object. |
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REGRESSION |
A mandatory field that specifies the field to be classified. |
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REAL |
Numerical values. |
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NOMINAL |
Values that do not bear a quantitative relationship with each other (i.e., strings and numbers that represent non-numerical information). |
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MULTI_PLAIN |
Multiple NOMINAL values separated by spaces. Non-language specific. |
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MULTI_ENGLISH |
Multiple NOMINAL values separated by spaces. The text is English language. |
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MULTI_SPANISH |
Multiple NOMINAL values separated by spaces. The text is Spanish language. |
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MULTI_JAPANESE |
Multiple NOMINAL values separated by spaces. The text is Japanese language. |
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ITEM_SET |
A series of values with weights. (Formatted as item1:weight1;item2:weight2;item3:weight3) |
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IGNORE |
The column shall be ignored by the program. |
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NULL_INDICATOR |
This column type identifies the presence or absence of non-numerical data, assigning different weights to any cell with data versus those without data. |
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