summarylists the model information for fitted model and final confusion matrix.
"summary"(object, n.iter=NULL, ...)
summaryproduces 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
summaryproduces analogous information.