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Table 1 Prediction accuracy for various prediction algorithms

From: Ensemble-based prediction of RNA secondary structures

 

Mean (CI) S-STRAND2 F-measure

Mean testset F-measure

Mean testset 2 F-measure

Citation

AveRNA

0.716 (0.707, 0.725)

0.711 (0.701, 0.721)

0.725 (0.713, 0.737)

-

BL-FR*

0.703 (0.694, 0.712)

0.698 (0.687, 0.708)

0.717 (0.706, 0.729)

[5]

BL*

0.688 (0.678, 0.698)

0.686 (0.675, 0.696)

0.704 (0.692, 0.715)

[5]

CG*

0.676 (0.666, 0.685)

0.673 (0.662, 0.684)

0.690 (0.677, 0.702)

[4]

DIM-CG

0.668 (0.658, 0.678)

0.664 (0.654, 0.674)

0.681 (0.668, 0.695)

[5]

NOM-CG

0.656 (0.646, 0.667)

0.653 (0.643, 0.663)

0.667 (0.655, 0.680)

[5]

CONTRAfold2.0

0.656 (0.647, 0.665)

0.650 (0.640, 0.660)

0.657 (0.644, 0.668)

[3]

CentroidFold

0.643 (0.633, 0.652)

0.638 (0.627, 0.648)

0.643 (0.630, 0.655)

[7]

MaxExpect

0.625 (0.615, 0.635)

0.619 (0.607, 0.630)

0.633 (0.620, 0.646)

[6]

CONTRAfold1.1

0.601 (0.591, 0.610)

0.595 (0.584, 0.605)

0.605 (0.592, 0.619)

[3]

T99

0.597 (0.587, 0.607)

0.591 (0.581, 0.602)

0.606 (0.593, 0.619)

[1]

  1. F measures and 95% confidence intervals, calculated using bootstrapping, and shown in parentheses.