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Table 4 Performance evaluation on the genome-wide data sets for worm, fly cress, fish, and human.

From: Accurate splice site prediction using support vector machines

  Worm Fly Cress Fish Human
  Acc Don Acc Don Acc Don Acc Don Acc Don
MC           
auROC(%) 99.62 ± 0.03 99.55 ± 0.02 98.78 ± 0.10 99.12 ± 0.05 99.12 ± 0.03 99.44 ± 0.02 98.98 ± 0.03 99.19 ± 0.05 96.03 ± 0.09 97.78 ± 0.05
auPRC(%) 92.09 ± 0.28 89.98 ± 0.20 80.27 ± 0.76 78.47 ± 0.63 87.43 ± 0.28 88.23 ± 0.34 63.59 ± 0.72 62.91 ± 0.57 16.20 ± 0.22 24.98 ± 0.30
WD           
auROC(%) 99.77 ± 0.02 99.82 ± 0.01 99.02 ± 0.09 99.49 ± 0.05 99.37 ± 0.02 99.66 ± 0.02 99.36 ± 0.04 99.60 ± 0.04 97.76 ± 0.06 98.59 ± 0.05
auPRC(%) 95.20 ± 0.29 95.34 ± 0.10 84.80 ± 0.35 86.42 ± 0.60 91.06 ± 0.15 92.21 ± 0.17 85.33 ± 0.38 85.80 ± 0.46 52.07 ± 0.33 54.62 ± 0.54
WDS           
auROC(%) 99.80 ± 0.02 99.82 ± 0.01 99.12 ± 0.09 99.51 ± 0.05 99.43 ± 0.02 99.68 ± 0.02 99.38 ± 0.04 99.61 ± 0.04 97.86 ± 0.05 98.63 ± 0.05
auPRC(%) 95.89 ± 0.26 95.34 ± 0.10 86.67 ± 0.35 87.47 ± 0.54 92.16 ± 0.17 92.88 ± 0.15 86.58 ± 0.33 86.94 ± 0.44 54.42 ± 0.38 56.54 ± 0.57
  1. Displayed are auROC and auPRC scores for acceptor and donor recognition tasks as archived by the MC method and two support vector machine approaches, one with the weighted degree kernel (WD) and one with the weighted degree kernewith shifts (WDS).