Table 6 Statistical parameters and regression models for FN(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 | \(y=329.5860+0.1164x+0.00001x^2\) | 0.924 | 0.853 | 0.063 | 34.799 | 0.000 |
Cubic | \(y=205.7136+0.2676x-0.0000x^2+0.00001x^3\) | 0.926 | 0.858 | 0.246 | 22.185 | 0.000 | |
EV | Quadratic | \(y=62.0169+0.0114x+0.00001x^2\) | 0.922 | 0.849 | 0.009 | 33.798 | 0.000 |
Cubic | \(y=50.5625+0.0254x-0.0000x^2+0.00001x^3\) | 0.923 | 0.851 | 0.037 | 21.000 | 0.000 | |
FP | Quadratic | \(y=199.1664+0.0266x+0.00001x^2\) | 0.854 | 0.729 | 0.053 | 16.127 | 0.000 |
Cubic | \(y=15.6864+0.2505x-0.0001x^2+0.00001x^3\) | 0.871 | 0.758 | 0.200 | 11.507 | 0.001 | |
MR | Quadratic | \(y=41.9793+0.0214x+0.00001x^2\) | 0.967 | 0.934 | 0.011 | 85.184 | 0.000 |
Cubic | \(y=-21.6743+0.0990x-0.0000x^2+0.00001x^3\) | 0.977 | 0.955 | 0.036 | 77.880 | 0.000 | |
SA | Quadratic | \(y=66.3020+0.0099x+0.00001x^2\) | 0.856 | 0.732 | 0.027 | 16.412 | 0.000 |
Cubic | \(y=93.7077-0.0235x+0.0000x^2-0.00001x^3\) | 0.857 | 0.735 | 0.107 | 10.160 | 0.002 | |
P | Quadratic | \(y=16.6171+0.0085x+0.00001x^2\) | 0.966 | 0.934 | 0.004 | 85.064 | 0.000 |
Cubic | \(y=-8.6261+0.0393x-0.0000x^2+0.00001x^3\) | 0.977 | 0.955 | 0.014 | 77.744 | 0.000 | |
MV | Quadratic | \(y=166.9249+0.0298x+0.00001x^2\) | 0.951 | 0.904 | 0.035 | 56.802 | 0.000 |
Cubic | \(y=5.2872+0.2270x-0.0001x^2+0.00001x^3\) | 0.961 | 0.924 | 0.123 | 44.394 | 0.000 |
