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Table 3 Performances of HIV-1 predictors on complete genome classification

From: A machine learning approach for viral genome classification

    COMET REGA CASTOR
   # of instances TPR FPR F-measure TPR FPR F-measure TPR FPR F-measure
CRFs HIV1_01_AE 100 0.960 0.000 0.980 0.970 0.000 0.985 1.000 0.000 1.000
  HIV1_02_AG 10 0.900 0.000 0.947 0.700 0.000 0.824 0.900 0.007 0.818
  Mean   0.930 0.000 0.964 0.835 0.000 0.905 0.950 0.004 0.909
Pure subtypes HIV1_A 100 0.660 0.000 0.795 0.990 0.000 0.995 0.940 0.000 0.969
  HIV1_B 100 0.910 0.000 0.953 1.000 0.000 1.000 0.960 0.003 0.975
  HIV1_C 100 0.970 0.000 0.985 1.000 0.000 1.000 0.970 0.003 0.980
  Mean   0.847 0.000 0.911 0.997 0.000 0.998 0.957 0.002 0.975
  1. This table contains TPR, FPR and F-measure of COMET, REGA and CASTOR on the prediction of HIV-1 M pure subtypes and CFRs complete genomes. The shown classes belong to the common subtypes sampling. The CASTOR model used in this evaluation is PMSHIV02