Table 4 shows that the PAUM had better results than both the standard Perceptron and the margin Perceptron Our conjecture was that the uneven margins parameter was more helpful on small training sets, because the smaller a training set is, the more imbalanced it could be.
we carried out experiments on a small numbers of training documents.