Table 10 Statistical parameters and regression models for NI(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 | \(y=355.8127+2.4398x+0.0045x^2\) | 0.908 | 0.825 | 1.861 | 28.214 | 0.000 |
Cubic | \(y=380.2739+1.6293x+0.0116x^2-0.0001x^3\) | 0.908 | 0.825 | 8.461 | 17.260 | 0.000 | |
EV | Quadratic | \(y=67.2233+0.1854x+0.0012x^2\) | 0.905 | 0.819 | 0.275 | 27.240 | 0.000 |
Cubic | \(y=77.8100-0.1654x+0.0043x^2-0.0001x^3\) | 0.906 | 0.821 | 1.244 | 16.802 | 0.000 | |
FP | Quadratic | \(y=218.1404+0.2769x+0.0063x^2\) | 0.845 | 0.714 | 1.482 | 14.964 | 0.001 |
Cubic | \(y=97.7782+4.2650x-0.0284x^2+0.0001x^3\) | 0.851 | 0.723 | 6.626 | 9.590 | 0.002 | |
MR | Quadratic | \(y=32.9614+0.6772x+0.0013x^2\) | 0.981 | 0.963 | 0.221 | 154.388 | 0.000 |
Cubic | \(y=-23.7449+2.5561x-0.0151x^2+0.0001x^3\) | 0.987 | 0.975 | 0.821 | 143.624 | 0.000 | |
SA | Quadratic | \(y=84.5140-0.0991x+0.0039x^2\) | 0.835 | 0.697 | 0.777 | 13.824 | 0.001 |
Cubic | \(y=162.3024-2.6765x+0.0263x^2-0.0001x^3\) | 0.844 | 0.713 | 3.442 | 9.100 | 0.003 | |
P | Quadratic | \(y=13.0414+0.2684x+0.0005x^2\) | 0.981 | 0.963 | 0.088 | 154.014 | 0.000 |
Cubic | \(y=-9.4545+1.0137x-0.0060x^2+0.0001x^3\) | 0.987 | 0.975 | 0.326 | 143.202 | 0.000 | |
MV | Quadratic | \(y=139.6352+1.1535x+0.0053x^2\) | 0.966 | 0.934 | 0.777 | 84.795 | 0.000 |
Cubic | \(y=-14.8241+6.2714x-0.0393x^2+0.0001x^3\) | 0.973 | 0.947 | 3.158 | 65.801 | 0.000 |
