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Table 4 Features selected and the corresponding cross-validation performance in PSFS process

From: Protein-protein interface hot spots prediction based on a hybrid feature selection strategy

Round Features identified Accuracy Recall Precision F-measure
1 CNSV_REL1, BsRASA 0.766 0.790 0.681 0.731
CNSV_REL1, BpRASA 0.779 0.710 0.733 0.721
CNSV_REL1, BtRASA 0.753 0.694 0.694 0.694
2 CNSV_REL1, BsRASA, UsASA 0.818 0.774 0.774 0.774
CNSV_REL1, BtRASA, UpASA 0.799 0.790 0.731 0.760
CNSV_REL1, BsRASA, UpASA 0.799 0.774 0.739 0.756
3 CNSV_REL1, BsRASA, UpASA, BtRASA 0.818 0.807 0.758 0.781
CNSV_REL1, BtRASA, UpASA, DtASA1/2 0.812 0.807 0.746 0.775
CNSV_REL1, BsRASA, UpASA, BpRASA 0.812 0.807 0.746 0.775
4 CNSV_REL1, BtRASA, UpASA, DtASA1/2, BsRASA 0.825 0.838 0.754 0.794
CNSV_REL1, BsRASA, UpASA, BtRASA, DpRASA1/2 0.818 0.823 0.750 0.785
CNSV_REL1, BsRASA, UpASA, BpRASA, DtASA1/2 0.825 0.823 0.761 0.791
5 CNSV_REL1, BtRASA, UpASA, DtASA1/2, BsRASA, BtmDI 0.831 0.839 0.765 0.800
CNSV_REL1, BtRASA, UpASA, DtASA1/2, BsRASA, B factor 0.831 0.839 0.765 0.800
CNSV_REL1, BsRASA, UpASA, BpRASA, DtASA1/2, BtmDI 0.825 0.823 0.761 0.791
6 CNSV_REL1, BtRASA, UpASA, DtASA1/2, BsRASA, B factor, BtmDI 0.831 0.839 0.765 0.800
CNSV_REL1, BtRASA, UpASA, DtASA1/2, BsRASA, BtmDI, Hdrpi 0.831 0.839 0.765 0.800
CNSV_REL1, BtRASA, UpASA, DtASA1/2, BsRASA, B factor, BminPI 0.831 0.839 0.765 0.800