Discriminant analysis makes more stringent assumptions
than logistic regression, but can be a valuable alternative or supplement to a logistic regression
analysis when those assumptions are met.
Discriminant models require a single target field and one or more input fields. Weight and
frequency fields aren't used. See Common modeling node properties for more information.
method
Enter Stepwise
mode
Simple Expert
prior_probabilities
AllEqual ComputeFromSizes
covariance_matrix
WithinGroups SeparateGroups
means
flag
Statistics options in the node properties under Expert Options.
univariate_anovas
flag
box_m
flag
within_group_covariance
flag
within_groups_correlation
flag
separate_groups_covariance
flag
total_covariance
flag
fishers
flag
unstandardized
flag
casewise_results
flag
Classification options in the node properties under Expert Options.
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