Table 4. MSE and R2 for cross validation and Gaussian noise methods .
Lack of data compensation method | MSE | R 2 |
Cross validation (k = 10) | 0.0128 | 0.954 |
Gaussian noise method (µ = 0, SD = 0.05) | 0.0062 | 0.979 |
MSE, mean square error.
Lack of data compensation method | MSE | R 2 |
Cross validation (k = 10) | 0.0128 | 0.954 |
Gaussian noise method (µ = 0, SD = 0.05) | 0.0062 | 0.979 |
MSE, mean square error.