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Table 4 Estimates of AUC-ROC and AUC-PR of different methods for balanced dataset in predicting donor splice sites using human, bovine, fish and worm species

From: Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features

  Species Approaches
MM1-SVM LIK-SVM WD-SVM WDS-SVM EFFECT Proposed
AUC-ROC Human 97.07 97.13 97.25 97.06 97.15 96.05
Bovine 96.98 97.63 97.83 97.59 97.70 96.94
Fish 97.24 97.34 97.68 97.53 97.59 96.95
Worm 97.49 98.02 98.23 98.12 98.15 96.24
AUC-PR Human 96.78 97.52 97.67 97.38 97.58 97.64
Bovine 96.66 97.48 97.59 97.26 97.51 97.89
Fish 96.85 97.42 97.67 97.39 97.49 97.91
Worm 96.92 97.51 97.78 97.63 97.71 97.90
  1. It can be seen that the values of AUC-ROC of the proposed approach are less as compared to that of others, whereas the values of AUC-PR for the proposed approach are at par with that of other approaches (except MM1-SVM), in all the four species