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Table 3 The performance of different kinds of feature descriptors

From: An improved sequence based prediction protocol for DNA-binding proteins using SVM and comprehensive feature analysis

Descriptor DNAdset DNAaset
  Acc AUC F-score Sen Sp MCC Acc AUC F-score Sen Sp MCC
OAAC 0.872 0.941 0.856 0.865 0.852 0.716 0.726 0.794 0.742 0.799 0.650 0.451
DPC 0.872 0.925 0.838 0.865 0.809 0.672 0.717 0.784 0.725 0.753 0.682 0.436
SAAC 0.846 0.904 0.826 0.842 0.813 0.651 0.697 0.740 0.701 0.743 0.624 0.369
AAIndex-OCTD 0.845 0.905 0.824 0.828 0.825 0.651 0.743 0.782 0.729 0.766 0.664 0.452
AAindex-AC 0.688 0.745 0.707 0.729 0.680 0.410 0.683 0.734 0.705 0.785 0.559 0.353
AAIndex-SAA 0.870 0.915 0.840 0.869 0.811 0.678 0.708 0.747 0.732 0.808 0.601 0.417
PSSM-OCTD 0.729 0.776 0.721 0.728 0.724 0.452 0.741 0.811 0.742 0.745 0.738 0.483
PSSM-AC 0.786 0.827 0.762 0.771 0.752 0.523 0.742 0.816 0.734 0.725 0.751 0.477
PSSM-SAA 0.872 0.932 0.872 0.903 0.839 0.741 0.761 0.840 0.773 0.797 0.737 0.535
S&F-OCTD 0.723 0.801 0.737 0.714 0.779 0.493 0.719 0.770 0.711 0.726 0.694 0.411
S&F-AC 0.745 0.799 0.729 0.756 0.690 0.446 0.717 0.771 0.701 0.690 0.723 0.413
S&F-SAA 0.712 0.734 0.649 0.627 0.736 0.371 0.711 0.768 0.703 0.710 0.692 0.402