A function to execute multiple "1 vs. all" binary tasks.
A numeric scalar or character vector. A numeric scalar indicates
the number of top features that should undergo feature selection. A character vector
indicates specifically which features by name should undergo feature selection.
A character string. The method to apply.
Arguments passed to the detailed function.
doMulti runs once for each factor level in the
"defineCase" column. If a training set is missing any
one of the factor levels (e.g., owing to random cuts during
ExprsModule component that
would refer to that class label gets replaced with an NA
placeholder. Note that this NA placeholder will prevent a
classifier from possibly predicting the NA class (i.e., a
classifier can only make predictions about class
labels that it "knows"). However, these "unknown" classes
still impact metrics of classifier performance.
A list of the results from
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