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What model selection methods are available in the 'logistic' action?

The 'logistic' action supports several automated model selection methods through the 'selection' parameter. These include 'FORWARD' (forward selection), 'BACKWARD' (backward elimination), 'STEPWISE' (stepwise regression), 'LASSO', and 'ELASTICNET'. You can control the process with criteria like 'AIC', 'SBC', and significance levels ('slEntry', 'slStay').

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On: logistic

What is the primary function of the `logisticType3` action?

The `logisticType3` action computes Type 3 or Joint tests to determine if all parameters for a given effect are zero.

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On: logisticType3

target

specifies the target variable when scoring a data set. If the target variable name in the tree model is the same in the scored table, then this option is not required.

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On: gbtreeScore

What does the 'casOut' parameter specify?

The 'casOut' parameter specifies the table where the scored results will be stored. If this parameter is not specified, the action only computes the mis-classification rate for classifications and the mean squared error for regressions.

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On: forestScore

What parameter is used to specify the target caslib for the action?

The 'caslib' parameter is used to specify the name of the caslib where you want to list the files.

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On: fileInfo