Binary relevance and weighted fast greedy were the two approaches that surpassed the 90% likelihood of being better than random label space divisions in both the median (98.5% and 97%, respectively) and mean (92% and 90%) cases. Weighted walktrap and leading eigenvector followed closely with ...