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Table 2 Overall ranking in terms of discriminant ability.

From: The oligonucleotide frequency derived error gradient and its application to the binning of metagenome fragments

  Type avg. assigns. avg. S p avg. S n Discriminant ability
OFDEG+GC (CP = 55%) semi-supervised 63.65% 0.9400 0.9950 0.9675
OFDEG+GC unsupervised 97.33% 0.9513 0.9525 0.9519
TF (CP = 75%) semi-supervised 83.44% 0.9925 0.8925 0.9425
OFDEG+GC (CP = 75%) semi-supervised 77.75% 0.8000 0.9625 0.8813
TF (CP = 55%) semi-supervised 69.28% 1.0000 0.7450 0.8725
OFDEG unsupervised 97.34% 0.9100 0.8300 0.8700
TF unsupervised 97.34% 0.9905 0.6565 0.8235
  1. Discriminant ability is given by the average of the sensitivity (S n ) and specificity (S p ) values. In this case, we take the average of the average specificity and sensitivity over all tests conducted. We see that both the unsupervised and semi-supervised methods which use OFDEG+GC as a feature space perform best overall with respect to the simMC tests. Though the semi-supervised method outperforms the unsupervised method, the average number of assignments made by the unsupervised variant is far greater.