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Table 6 Classification performance using cross validation

From: Secondary structural entropy in RNA switch (Riboswitch) identification

Classifier TP rate FP rate MCC R.O.C. area
{L,GC,GU,Sil} 0.750 0.250 0.500 0.826
{L,GC,GU} 0.673 0.327 0.346 0.700
{L,GC,GU,BJK} 0.644 0.356 0.289 0.691
{L,GC,GU,BJKbp} 0.654 0.346 0.309 0.690
{L,GC,GU,RND} 0.654 0.346 0.308 0.689
{L,MFE,GC,GU,RND} 0.673 0.327 0.346 0.714
{L,MFE,GC,GU} 0.654 0.346 0.308 0.707
{L,MFE,GC,GU,BJK} 0.663 0.337 0.327 0.703
{L,MFE,GC,GU,BJKbp} 0.663 0.337 0.327 0.701
{L,MFE,GC,GU,Sil} 0.625 0.375 0.250 0.697
{L,MFE,GU} 0.663 0.337 0.327 0.710
{L,MFE,GU,RND} 0.663 0.337 0.327 0.702
{L,MFE,GU,BJKbp} 0.663 0.337 0.32 0.701
{L,MFE,GU,Sil} 0.654 0.346 0.308 0.701
{L,MFE,GU,BJK} 0.644 0.356 0.289 0.699
{L,MFE,GC,RND} 0.663 0.337 0.327 0.708
{L,MFE,GC,BJK} 0.663 0.337 0.327 0.703
{L,MFE,GC,BJKbp} 0.635 0.365 0.269 0.683
{L,MFE,GC} 0.606 0.394 0.212 0.650
{L,MFE,GC,Sil} 0.635 0.365 0.270 0.644
{L,MFE,GCU,RND} 0.644 0.356 0.289 0.693
{L,MFE,GCU,BJK} 0.625 0.375 0.250 0.617
{L,MFE,GCU,BJKbp} 0.596 0.404 0.193 0.595
{L,MFE,GCU} 0.587 0.413 0.174 0.581
{L,MFE,GCU,Sil} 0.548 0.452 0.097 0.554
  1. 104-fold binomial logistic classifiers on all of the 52 riboswitch sequences and their antisense sequences. classifier features shown in legend. Wekaopen source software package used. Features L,MFE,GC,GU,GCU and U denote length, MFE, GC-composition, and uracil frequency, respectively. Features RND and BJK denote structural entropy of the RND and BJK models, respectively. as defined in [54]. Feature BJKbp denotes base-pairing entropy as defined in [54]. Feature Sil denotes the two-cluster average Silhouette index of energy landscape as calculated in [46].