TABLE 2.
Performance of models in test and train sets.
Models | Train error | MSE | Numbers of selected features | |
LR | Diameter of C | 1.41 | 4.81 | 30 |
Diameter of D | 0.84 | 2.54 | 28 | |
Diameter of E | 0.73 | 2.52 | 22 | |
SVM | Diameter of C | 2.68 | 1.86 | 34 |
Diameter of D | 1.41 | 1.82 | 37 | |
Diameter of E | 1.48 | 1.91 | 38 | |
ETR | Diameter of C | 3.28 × 10–29 | 2.43 | 25 |
Diameter of D | 3.24 × 10–29 | 2.04 | 21 | |
Diameter of E | 2.49 × 10–29 | 2.34 | 17 | |
RFR | Diameter of C | 3.85 | 2.51 | 20 |
Diameter of D | 2.30 | 2.73 | 17 | |
Diameter of E | 2.08 | 3.00 | 15 |
LR, linear regression. SVM, support vector regression. ETR, extra-tree regression. RFR, random forest regression.