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Table 3 F-measure prediction accuracy of the MEA, MFE, gC-g1, and gC-pMFmeas algorithms on the MA dataset

From: Analysis of energy-based algorithms for RNA secondary structure prediction

RNA class

Class size

Mean ± std of length

F-meas (BL*)

F-meas (Turner99)

   

ubcMEA

ubcMFE

gC-g1

gC-pMFmeas

rsMEA

rsMFE

16S Ribosomal RNA

675

485.66 ± 113.02

0.625

0.645

0.630

0.665

0.561

0.521

23S Ribosomal RNA

159

453.44 ± 117.85

0.645

0.643

0.626

0.664

0.588

0.562

5S Ribosomal RNA

128

120.98 ± 3.21

0.782

0.780

0.763

0.782

0.616

0.630

Group I intron

89

368.49 ± 103.58

0.644

0.631

0.642

0.670

0.576

0.550

Group II intron

2

578 ± 47

0.540

0.609

0.524

0.582

0.472

0.471

Ribonuclease P RNA

399

332.78 ± 52.34

0.643

0.603

0.656

0.678

0.615

0.575

Signal Recognition RNA

364

227.04 ± 109.53

0.730

0.721

0.680

0.708

0.609

0.625

Transfer RNA

489

77.19 ± 5.13

0.706

0.764

0.719

0.773

0.727

0.726

Unweighted Average

  

0.668

0.676

0.655

0.690

0.596

0.583

Weighted Average

  

0.672

0.682

0.669

0.708

0.618

0.600

S-Weighted Average

  

0.658

0.660

0.648

0.681

0.588

0.568