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Table 1 Sensitivity and specificity of evolved SCFGs and other prediction methods

From: Evolving stochastic context-free grammars for RNA secondary structure prediction

Grammar

KH99

GG1

GG2

GG3

GG4

GG5

GG6

KH99

UNAfold

RNAfold

Pfold

Our data

           

Sensitivity

0.496

0.505

0.408

0.413

0.474

0.469

0.526

    

PPV

0.479

0.481

0.551

0.550

0.454

0.467

0.479

    

F–score

0.478

0.441

0.473

0.470

0.461

0.339

0.488

    

DE data

           

Sensitivity

0.465

0.466

0.372

0.379

0.408

0.487

0.465

0.47

0.558

0.558

0.39

PPV

0.406

0.405

0.643

0.646

0.344

0.432

0.376

0.45

0.501

0.495

0.69

F–score

0.480

0.468

0.466

0.472

0.430

0.479

0.451

    
  1. The sensitivities, PPVs, and F–scores of grammars GG1–GG6 and KH99 on the evaluation set and on the on the[14] data, as well as the benchmarked sensitivities and PPVs of UNAfoldv3.8 and RNAfoldv1.85 on the[14] data. Results for KH99 and Pfold are taken from[14].