Skip to main content

Table 3 The F-measures of MetaCluster 5.0, AbundanceBin and BiMeta on samples from S1 to S10

From: A two-phase binning algorithm using l-mer frequency on groups of non-overlapping reads

Samples MetaCluster 5.0 AbundanceBin BiMeta
S1 67.11% - 98.02%
S2 88.68% 72.63% 60.14%
S3 71.98% 83.53% 97.72%
S4 77.20% - 99.35%
S5 80.08% 56.38% 89.32%
S6 88.74% 64.24% 99.29%
S7 91.04% 58.49% 77.24%
S8 57.94% 47.87% 70.27%
S9 67.56% 27.92% 77.01%
S10 52.17% 4.95% 65.37%
  1. The symbol “-” indicates that the approaches fail to classify reads on the samples.BiMeta achieves higher F-measure in comparison with that of MetaCluster 5.0 and AbundanceBin for 8 out of 10 samples, while MetaCluster 5.0 gets the highest value for sample S2 and S7 in comparison with that of the remaining approaches.