AMP performance for noisy data set
. | Random noise 1% . | Random noise 2% . | ||||||
---|---|---|---|---|---|---|---|---|
Integration window Δ . | RMSE . | R2 . | Max. absolute error . | Min. absolute error . | RMSE . | R2 . | Max. absolute error . | Min. absolute error . |
2 | 0.038236 | 0.99998 | 0.10198 | 0.025218 | 0.046597 | 0.99993 | 0.1045 | 0.04391 |
1.9 | 0.036664 | 0.99998 | 0.095022 | 0.01829 | 0.047807 | 0.99991 | 0.11212 | 0.051904 |
1.8 | 0.035968 | 0.99997 | 0.086503 | 0.020317 | 0.043687 | 0.99994 | 0.10625 | 0.053386 |
1.7 | 0.032834 | 0.99997 | 0.071714 | 0.035084 | 0.038576 | 0.99994 | 0.087383 | 0.039419 |
1.6 | 0.031393 | 0.99997 | 0.067473 | 0.028837 | 0.043244 | 0.9999 | 0.092132 | 0.064931 |
1.5 | 0.035054 | 0.99996 | 0.07251 | 0.04861 | 0.046852 | 0.99988 | 0.11187 | 0.08252 |
1.4 | 0.032485 | 0.99996 | 0.080356 | 0.052118 | 0.049636 | 0.99987 | 0.13125 | 0.066414 |
1.3 | 0.030346 | 0.99997 | 0.074189 | 0.036482 | 0.060511 | 0.99974 | 0.14698 | 0.092399 |
1.2 | 0.025799 | 0.99997 | 0.061173 | 0.03712 | 0.057813 | 0.99977 | 0.16323 | 0.091952 |
1.1 | 0.035 | 0.99993 | 0.078924 | 0.069239 | 0.063327 | 0.99975 | 0.19781 | 0.089668 |
1 | 0.033992 | 0.99993 | 0.089567 | 0.072161 | 0.073062 | 0.99965 | 0.25116 | 0.10891 |
0.9 | 0.035418 | 0.99992 | 0.079144 | 0.07767 | 0.080256 | 0.99956 | 0.3049 | 0.11918 |
0.8 | 0.041939 | 0.99987 | 0.12012 | 0.072232 | 0.10196 | 0.99936 | 0.32052 | 0.15949 |
0.7 | 0.04468 | 0.99985 | 0.17545 | 0.073699 | 0.094512 | 0.99931 | 0.31285 | 0.19458 |
0.6 | 0.049217 | 0.99981 | 0.15348 | 0.11415 | 0.10597 | 0.9991 | 0.3755 | 0.17737 |
0.5 | 0.056996 | 0.99974 | 0.14103 | 0.13023 | 0.1462 | 0.99843 | 0.67589 | 0.25183 |
. | Random noise 1% . | Random noise 2% . | ||||||
---|---|---|---|---|---|---|---|---|
Integration window Δ . | RMSE . | R2 . | Max. absolute error . | Min. absolute error . | RMSE . | R2 . | Max. absolute error . | Min. absolute error . |
2 | 0.038236 | 0.99998 | 0.10198 | 0.025218 | 0.046597 | 0.99993 | 0.1045 | 0.04391 |
1.9 | 0.036664 | 0.99998 | 0.095022 | 0.01829 | 0.047807 | 0.99991 | 0.11212 | 0.051904 |
1.8 | 0.035968 | 0.99997 | 0.086503 | 0.020317 | 0.043687 | 0.99994 | 0.10625 | 0.053386 |
1.7 | 0.032834 | 0.99997 | 0.071714 | 0.035084 | 0.038576 | 0.99994 | 0.087383 | 0.039419 |
1.6 | 0.031393 | 0.99997 | 0.067473 | 0.028837 | 0.043244 | 0.9999 | 0.092132 | 0.064931 |
1.5 | 0.035054 | 0.99996 | 0.07251 | 0.04861 | 0.046852 | 0.99988 | 0.11187 | 0.08252 |
1.4 | 0.032485 | 0.99996 | 0.080356 | 0.052118 | 0.049636 | 0.99987 | 0.13125 | 0.066414 |
1.3 | 0.030346 | 0.99997 | 0.074189 | 0.036482 | 0.060511 | 0.99974 | 0.14698 | 0.092399 |
1.2 | 0.025799 | 0.99997 | 0.061173 | 0.03712 | 0.057813 | 0.99977 | 0.16323 | 0.091952 |
1.1 | 0.035 | 0.99993 | 0.078924 | 0.069239 | 0.063327 | 0.99975 | 0.19781 | 0.089668 |
1 | 0.033992 | 0.99993 | 0.089567 | 0.072161 | 0.073062 | 0.99965 | 0.25116 | 0.10891 |
0.9 | 0.035418 | 0.99992 | 0.079144 | 0.07767 | 0.080256 | 0.99956 | 0.3049 | 0.11918 |
0.8 | 0.041939 | 0.99987 | 0.12012 | 0.072232 | 0.10196 | 0.99936 | 0.32052 | 0.15949 |
0.7 | 0.04468 | 0.99985 | 0.17545 | 0.073699 | 0.094512 | 0.99931 | 0.31285 | 0.19458 |
0.6 | 0.049217 | 0.99981 | 0.15348 | 0.11415 | 0.10597 | 0.9991 | 0.3755 | 0.17737 |
0.5 | 0.056996 | 0.99974 | 0.14103 | 0.13023 | 0.1462 | 0.99843 | 0.67589 | 0.25183 |