Recall Maximizing scheme

[dean.z]

Hi all,

I'm new to the forum and somewhat of a novice with using weka.
is there a built-in way to use a recall maximizing scheme?
that is using a few sets of features on a binary classification problem and taking a positive when at least one of the features is classified as a positive.

its similar to the Vote meta-classifier, but instead of majority voting it only takes one vote to classify as positive, and instead of a few types of classifiers on one dataset, its on a few datasets with the same type classifier.

it is taken from this paper (full text only available from institutions).

any type of response is very appreciated