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Table 7 Results of on high-abundance datasets.

From: Exploiting topic modeling to boost metagenomic reads binning

Dataset AbundanceBin MCluster TM-MCluster
  Pr Se F1 Pr Se F1 Pr Se F1
S1 .7258 .9740 .8317 .9875 .9875 .9875 .9882 .9882 .9882
S2 .4047 .9405 .5600 .9154 .9154 .9154 .9519 .9519 .9519
S3 .5866 .7528 .6594 .8873 .8873 .8873 .9361 .9361 .9361
S4 .4106 .9441 .5723 .8554 .8554 .8554 .8921 .8921 .8921
S5 .1748 .9871 .2970 .7361 .7241 .7301 .7578 .7546 .7562
S6 .7266 .9999 .8416 .9873 .9873 .9873 .9869 .9869 .9869
S7 .3991 .9999 .5705 .9173 .9173 .9173 .9545 .9545 .9545
S8 .8591 .8591 .8591 .8868 .8868 .8868 .9393 .9393 .9393
S9 .6457 .6476 .6466 .8581 .8581 .8581 .8880 .8880 .8880
S10 .1888 .7223 .2993 .7253 .7161 .7207 .7196 .7317 .7256
  1. Each bold value indicates the best result on a certain dataset.