Table 9 Statistical parameters and regression models for NH(G).
From: Predicting bone cancer drugs properties through topological indices and machine learning
Property | \(\text {Model}\) | \(\text {Equation}\) | R | \(R^2\) | \(S_E\) | F | \(p\text {-value}\) |
|---|---|---|---|---|---|---|---|
BP | Quadratic | \(y=386.2460+25.9214x+2.0810x^2\) | 0.871 | 0.759 | 41.999 | 18.886 | 0.000 |
Cubic | \(y=1120.3201-344.0972x+53.6588x^2-1.9232x^3\) | 0.889 | 0.790 | 291.420 | 13.816 | 0.000 | |
EV | Quadratic | \(y=74.9076+0.3131x+0.4790x^2\) | 0.873 | 0.761 | 6.077 | 19.133 | 0.000 |
Cubic | \(y=191.8350-58.6256x+8.6946x^2-0.3063x^3\) | 0.894 | 0.799 | 41.496 | 14.566 | 0.000 | |
FP | Quadratic | \(y=261.7664-9.6184x+2.4890x^2\) | 0.828 | 0.685 | 29.933 | 13.034 | 0.001 |
Cubic | \(y=398.8229-78.7033x+12.1189x^2-0.3591x^3\) | 0.829 | 0.688 | 221.690 | 8.070 | 0.004 | |
MR | Quadratic | \(y=6.6778+16.3706x+0.1551x^2\) | 0.995 | 0.990 | 2.172 | 610.537 | 0.000 |
Cubic | \(y=-53.9700+46.9408x-4.1061x^2+0.1589x^3\) | 0.997 | 0.993 | 13.206 | 560.339 | 0.000 | |
SA | Quadratic | \(y=119.1097-11.5839x+1.5634x^2\) | 0.803 | 0.645 | 16.198 | 10.892 | 0.002 |
Cubic | \(y=418.6505-162.5709x+22.6099x^2-0.7848x^3\) | 0.835 | 0.697 | 111.390 | 8.415 | 0.003 | |
P | Quadratic | \(y=2.6200+6.4889x+0.0616x^2\) | 0.995 | 0.990 | 0.864 | 606.386 | 0.000 |
Cubic | \(y=-21.4871+18.6404x-1.6323x^2+0.0632x^3\) | 0.997 | 0.993 | 5.255 | 556.116 | 0.000 | |
MV | Quadratic | \(y=63.3543+35.3380x+0.8079x^2\) | 0.988 | 0.976 | 9.006 | 244.300 | 0.000 |
Cubic | \(y=-170.9294+153.4315x-15.6535x^2+0.6138x^3\) | 0.991 | 0.983 | 56.533 | 211.194 | 0.000 |
