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Table 1 Experimental Results.

From: Robinson-Foulds Supertrees

Data Set Supertree Method RF-Distance Parsimony Score
Marsupial (272 taxa; 158 trees) RF-Ratchet 1514 2528
  RF-MRP 1502 2513
  MRP-TBR 1514 2509
  MRP-Ratchet 1514 2509
  Triplet 1604 2569
Sea Birds (121 taxa; 7 trees) RF-Ratchet 61 223
  RF-MRP 61 223
  MRP-TBR 63 221
  MRP-Ratchet 63 221
  Triplet 61 223
Placental Mammals (116 taxa; 726 trees) RF-Ratchet 5686 8926
  RF-MRP 5690 8890
  MRP-TBR 5694 8878
  MRP-Ratchet 5694 8878
  Triplet 6032 9064
Legumes (571 taxa; 22 trees) RF-Ratchet 1556 965
  RF-MRP 1534 882
  MRP-TBR 1554 856
  MRP-Ratchet 1552 854
  Triplet N/A N/A
  1. Experimental results comparing the performance of the RF supertree method to MRP and triplet supertree methods. We used five different supertree analyses: RF supertrees using our SPR local search algorithm with a ratchet starting from either random addition sequence trees (RF-ratchet) or MRP trees (RF-MRP), MRP with TBR branch swapping with (MRP-ratchet) and without (MRP-TBR) a ratchet search, and triplet supertrees with a TBR local search (Triplet). We measured the RF distance to the collection of input trees (RF-distance) and the parsimony score of a best found supertree based on the matrix representation of the input trees. The best RF distance and parsimony scores are in bold