The relaxed clustering algorithm outperforms the strict clustering algorithm across the 10 datasets shown in Table1. All scores are standardised by the score increase achieved by the greedy algorithm (i.e. the score of the best partitioning scheme from the greedy algorithm minus the score of the starting scheme), so that performance can be compared across datasets. Thus, the greedy algorithm always scores 100%, and is shown only for reference. Each line connects the results from a single dataset, demonstrating that in all cases using both the AICc and the BIC, the greedy algorithm performed best, the relaxed clustering algorithm (with 10% of schemes analysed) performed second best, and the strict clustering algorithm performed the worst. All analyses use the RAxML version of PartitionFinder.