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Table 8 Scores obtained for the primary dataset using cross validation

From: Environmental metagenome classification for constructing a microbiome fingerprint

  AKLHAMNYCOFAPXOSACSCLTOKTotal
Ryan [21]#correct710252060161820\(\sum =176\)
 PPV0.540.560.960.950.98111Ns=193
 TPR0.470.630.961110.91ACC=0.912
Sanchez et al. [24]#correct9111101760341720\({\sum }=278\)
 PPV0.690.730.950.8910.830.890.71Ns=311
 TPR0.60.690.870.85110.851ACC=0.894
Harris et al. [32]Ns=N/A
          ACC=0.897
Walker and Datta [22]TPR (median)0.60.620.580.950.870.760.30.7Ns=211
 ACC=0.71
Zhu [25]#correct531141451311715\({\sum }=250\)
 TPR0.330.190.90.740.850.910.850.75Ns=310
          ACC=0.81
Chierici et al. [23]Ns=311
          ACC=0.894
Our method using Mash#correct1515502060311920\({\sum }=230\)
sketch size=1000PPV0.340.261.000.671.001.001.001.00Ns=311
 TPR1.000.940.401.001.000.910.951.00ACC=0.740
Our method using Mash#correct1516422060342020\({\sum }=227\)
sketch size=10000PPV0.650.181.000.831.001.001.001.00Ns=311
 TPR1.001.000.331.001.001.001.001.00ACC=0.730
Our method using Mash#correct1516442060341920\({\sum }=228\)
sketch size=100000PPV0.600.181.001.001.001.001.001.00Ns=311
 TPR1.001.000.351.001.001.000.951.00ACC=0.733
Our method using CoMeta#correct4121162037341320\({\sum }=256\)
(class-level filtering)PPV0.670.630.920.741.000.9710.42Ns=311
 TPR0.270.750.921.000.621.000.651.00ACC=0.823
Our method using CoMeta#correct4131132057301619\({\sum }=272\)
(sample-level filtering)PPV0.570.650.920.650.921.000.940.9Ns=311
 TPR0.270.810.91.000.950.880.80.95ACC=0.875
  1. We report the number of correctly classified samples (#correct), precision (PPV), and recall (TPR) for each class, as well as the overall accuracy (ACC). Some of the values are missing, as they were not reported in the referenced papers. Also, we show the number of samples (Ns), as in some works, the results for a subset of all of Ns=311 samples were reported