TABLE 2.
Linear | Pchip | Spline | Nearest | |||||
MSPE | R2 | MSPE | R2 | MSPE | R2 | MSPE | R2 | |
RR | 24.96 ± 3.61 | 0.76 ± 0.03 | 24.14 ± 3.35 | 0.76 ± 0.03 | 24.56 ± 3.41 | 0.76 ± 0.03 | 23.65 ± 3.26 | 0.77 ± 0.03 |
RF | 10.62 ± 2.12 | 0.92 ± 0.02 | 11.11 ± 2.37 | 0.91 ± 0.02 | 11.24 ± 2.53 | 0.91 ± 0.02 | 11.97 ± 2.91 | 0.90 ± 0.02 |
MLP | 23.09 ± 3.63 | 0.77 ± 0.03 | 22.20 ± 3.37 | 0.78 ± 0.02 | 20.14 ± 2.91 | 0.80 ± 0.02 | 23.56 ± 3.44 | 0.73 ± 0.04 |
SVR | 18.97 ± 3.50 | 0.80 ± 0.04 | 18.67 ± 3.43 | 0.80 ± 0.04 | 17.84 ± 3.66 | 0.81 ± 0.04 | 21.46 ± 3.55 | 0.80 ± 0.03 |
Columns display the average mean squared percentage error and Pearson correlation coefficient for each of the four interpolation methods applied. For both metrics we have included also the standard error of the mean (SEM). Rows represent the different regressors that we evaluated. The bold values represent the highest performance yielded in terms of MSPE and R2.