#' @param predict.threshold ([numeric])\cr
#' Threshold to produce class labels. Has to be a named vector, where names correspond to class labels.
#' Only for binary classification it can be a single numerical threshold for the positive class.
#' See [setThreshold] for details on how it is applied.
#' Default is `NULL` which means 0.5 / an equal threshold for each class.
#' @md
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