Table 2

Goodness-of-fit (R2) and predictive ability (Q2cv, Q2test) of the obtained 18 models
Model R2 Q2cv Q2test Model R2 Q2cv Q2test
P0-DLIa 0.9616 0.6564 0.7292 P1-GD-Cb 0.9909 0.6732 0.7191
P0-GD 0.9895 0.6960 0.7331 P2-DLI-C 0.9883 0.6264 0.6519
P1-DLI 0.9619 0.6757 0.7427 P2-GD-C 0.9917 0.5734 0.6215
P1-GD 0.9897 0.7162 0.7542 C(P0,DLI)c 0.9860 0.6484 0.6941
P2-DLI 0.9614 0.6521 0.7272 C(P0,GD) 0.9914 0.6302 0.6772
P2-GD 0.9894 0.6858 0.7268 C(P1,DLI) 0.9811 0.6686 0.7227
P0-DLI-C 0.9871 0.6462 0.6944 C(P1,GD) 0.9904 0.6625 0.7190
P0-GD-C 0.9916 0.6319 0.6759 C(P2,DLI) 0.9898 0.6505 0.6067
P1-DLI-C 0.9846 0.6626 0.7251 C(P2,GD) 0.9941 0.5967 0.5597

a P0-DLI means this model is based on protein descriptor P0 and ligand descriptor DLI.

b P1-GD-C means this model is based on protein descriptor P1, ligand descriptor GD and cross-terms.

c C(P0,DLI) means this model is based on only cross-terms of P0 and DLI.

Wu et al.

Wu et al. BMC Bioinformatics 2012 13:212   doi:10.1186/1471-2105-13-212

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