The final make-up of the gold-standard data for each of the countability classes is listed in Table 2, along with a baseline classification accuracy for each class ("Baseline"), based on the relative frequency of the majority class (positive or negative).
for bipartite nouns, we achieve a 99.4% classification accuracy by arbitrarily classifying every training instance as negative.