First, we consider the Leave One Out (LOO) setting, which means that for each rumour r ∈ R, we construct the test set equal to T r and the training set equal to T \ T r .
this is a very challenging and realistic scenario, where the test set contains an entirely unseen rumour, from those in the training set.