deletions | additions       diff --git a/As_we_can_see_MetaCluster__.md b/As_we_can_see_MetaCluster__.md  index 9020927..f52341f 100644  --- a/As_we_can_see_MetaCluster__.md  +++ b/As_we_can_see_MetaCluster__.md 
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As we can see, MetaCluster always gets very high sensitivity but the overall performance is limited by number of discovered species. Abundance means a lot to it since MetaCluster gets better result in Dataset 1 and 3 (higher abundance) abundance, ~25x)  than Dataset 2 (lower abundance). abundance, ~12x).  For MarkovBin, however, the result becomes unacceptable with the number of species increasing. DirichletCluster discovers most species in all the three datasets. Lower abundance does have some effect but precision and sensitivity are both acceptable in Dataset 2. Sensitivity of DirichletCluster can be compared to MetaCluster when the abundance is low or the number of species is small. When number of species is large, though the sensitivity is not as good as MetaCluster, the overall performance is much better.