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. 2020 Feb 19;60(3):1215–1223. doi: 10.1021/acs.jcim.9b01057

Table 2. Classification Performance of the Consensus Approaches for Binding, Agonism, and Antagonism Endpointsaa.

  binding (34 models)
antagonism (22 models)
agonism (21 models)
consensus approach Sn (%) Sp (%) NER (%) Cvg (%) rank Sn (%) Sp (%) NER (%) Cvg (%) rank Sn (%) Sp (%) NER (%) Cvg (%) rank
MVL 61.8 91.8 76.8 99.3 4 61.5 87.3 74.4 98.9 3 73.8 97.5 85.7 99.7 2
MVI 60.6 98.3 79.5 80.6 8 60.0 93.8 76.9 80.1 4 76.1 99.0 87.5 91.5 6
MVS 26.9 100 63.5 37.5 39 39.0 99.2 69.1 42.4 25 64.8 99.9 82.3 51.4 17
B 72.3 84.9 78.6 100 1 71.0 81.2 76.1 100 1 74.4 95.1 84.7 100 3
Bp 73.3 85.9 79.6 96.1 7 73.5 82.9 78.2 92.9 2 75.8 95.9 85.9 97.7 4
a

For each consensus approach, sensitivity (Sn), specificity (Sp), non-error rate (NER), coverage (Cvg), and total ranking are reported. B, Bayes; Bp, protective Bayes; MVL, majority voting loose; MVI, majority voting intermediate; MVS, majority voting strict.