summary lists the model information for fitted model and final
object generated by 'maboost'.
specific iteration to obtain the training and testing information at.
other arguments not used by this function.
summary produces a summary of the original function call, method
used for boosting for a specific iteration, accuracy, and kappa
statistic (a measure of agreement between the observed classification and
predicted classification) for the training data.
In addition, if any other data set (i.e. test or validation)
has been incorporated to the
summary produces analogous information.
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