Hi!
I'm a bit worried about bringing down the wrath of the entire ML
community on me for asking such a stupid question, but here goes:
what is the absolute worth of a log likelihood value for a final tree? I
understand that for a given data set I can try to improve ln log by
comparing runs with different e.g. transition/transversion ratios but
once I have found the best ln log value for my data set, how do I know
if this is a good value? For example, with my data sets I have -ln log
values around 12000 and this seems "bad" to me because in published
trees I have looked at -ln log values are usually around 2000 to 4000.
thanks very much, Nicole
Dr. Nicole Dubilier
Dept. of Molecular Ecology
Max-Planck Institute for Marine Microbiology
Celsiusstr. 1, D-28359 Bremen, Germany
Tel.: +49 421 2028-932, Fax: +49 421 2028-580
ndubilie at mpi-bremen.de
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