simClassify+ Data Type Specifications

Data Type Specifications tell the model what form the data from each column is in so it knows how to properly compare values.

Like simClassify, simClassify+ accepts the following Data Types:

ID	A mandatory field which uniquely identifies each object.
CLASS	A mandatory field which specifies the field to be classified.
REAL	Numerical values.
NOMINAL	Values that do not bear a quantitative relationship with each other (i.e., strings and numbers which represent non-numerical information).
MULTI_PLAIN	Multiple NOMINAL values separated by spaces. Non-language specific.
MULTI_ENGLISH	Multiple NOMINAL values separated by spaces. The text is English language.
MULTI_SPANISH	Multiple NOMINAL values separated by spaces. The text is Spanish language.
MULTI_JAPANESE	Multiple NOMINAL values separated by spaces. The text is Japanese language.
ITEM_SET	A series of values with weights. (Formatted as item1:weight1;item2:weight2;item3:weight3)
IGNORE	The column shall be ignored by the program.
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.