Variables with levels that simply name a group are said to be measured on a nominal scale. Categorical variables can also be measured using an ordinal scale, which means that the levels of the ...
Dealing with categorical data is an essential part of data preprocessing in many machine learning tasks. Fortunately, encoding categorical data efficiently helps enhance the performance of machine ...
The LOGISTIC, GENMOD, PROBIT, and CATMOD procedures can all be used for statistical modeling of categorical data ... it performs the usual logistic regression and for ordinal outcomes, it fits the ...
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