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. 2012 Feb 1;13:22. doi: 10.1186/1471-2105-13-22

Table 3.

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

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