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The `addFormat` action is a powerful tool within the `sessionProp` action set. I...
The correlation action computes Pearson product-moment correlations. This is a f...
The annCode action generates SAS DATA step scoring code from a trained artificia...
You can define the groups by using either the 'nGroups' parameter to specify the number of equal-sized groups based on predicted probabilities, or the 'cutpt' parameter to provide specific cutpoints for creating the partitions.
specifies the seed for the random number generator. By default, the random number stream is based on the computer clock. Negative values also result in random number streams based on the computer clock. If you want a reproducible random number sequence between runs, specify a value that is greater than zero. Default: 0 Range: 0–MACINT
The output parameter creates a table on the server containing observationwise statistics after model fitting. It accepts a genmodOutputStatement structure, which includes the required casOut subparameter for specifying output table settings and various options for naming predicted values, residuals, and confidence intervals.
The 'encodeName' parameter specifies whether to encode variable names, such as predicted probabilities for binary or nominal targets. If set to TRUE, variables use the prefix 'P_' instead of the default '_DT_P_'. The default value is FALSE.
The 'table.whereTable.vars.format' subparameter specifies the format to apply to the variable.