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How can I obtain the association statistics table?

The association table is created by default. You can ensure its creation by setting the 'association' parameter to TRUE, which computes various rank correlation indices between predicted probabilities and observed responses.

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On: logisticAssociation

target

specifies the target or response variable for training. If the variable is numeric, but not specified in the nominal= parameter and nbinstarget= is not specified, then a regression tree is trained.

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On: forestTrain

How do I specify the neural network model to be used by the annCode action?

You must use the 'modelTable' parameter to specify the input table that contains the artificial neural network model you want to use for generating the scoring code.

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On: annCode

How can I view the results that have been saved during my CAS session?

You can use the `listresults` action to display a list of all results that have been saved from the actions executed within your current session.

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On: listresults

How do you specify the model to be fitted using the 'logistic' action?

You define the model using the 'model' parameter. This includes specifying the dependent variable(s) with the 'depVars' subparameter and the explanatory effects using the 'effects' subparameter. You can also define the response distribution (e.g., 'BINOMIAL', 'MULTINOMIAL') and the link function (e.g., 'LOGIT', 'PROBIT', 'CLOGLOG').

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On: logistic