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Results

Team*   Method** Data #1 Data #2 Data #3 Data #4***
Team Demokritos    n-gram clustering 64.4 % 79.3 % 66.4 %
Rudi Cilibrasi  CompLearn 52.7 % 81.5 % 70.6 %
-  Hierarchical clustering  - 72.6 % 60.2 %-
-  RHM06 76.0 % 79.9 % 76.9 %-
-  PAUP: Parsimony 74.4 % 77.8 % 74.5 %-
-  PAUP: Neighbour Joining 64.4 % 81.5 % 76.2 %-
-  PAUP: Least Squares 64.2 % 81.5 % 70.2 %-
-  SplitsTree: NeighborNet 59.1 % 77.8 % 70.2 %-
-  SplitsTree: SplitDecomposition 53.1 % 74.5 % 73.1 %-
-  SplitsTree: ParsimonySplits 56.8 % 83.7 % 71.6 %-

*) The entries below the horizontal line are added for comparison purposes by the organizers, and, therefore, not included in the competition.

**) RHM06 = (Roos, Heikkilä, Myllymäki, "A Compression-Based Method for Stemmatic Analysis", ECAI-06).
PAUP = PAUP* version 4.0b10 for Unix. Heuristic search.
SplitsTree = SplitsTree4 version 4.10, build 2, May 2008.

***) Data #4 is 'real' and no correct solution is known.

The winner in the primary ranking (Data #1) is Team Demokritos (click on the team title in the table for more information).

The secondary ranking is based on Data #3 and Data #4 for which the winner is Rudi Cilibrasi who's submission was the best for Data #3. Neither submission was "plausible and useful" for Data #4 (as judged by a domain expert, hence no points for anyone).