Synthetic Time Series Generation on Licor data (test)
0.843ACFSigCWGAN
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SigCWGAN2026.04 | 0.843 | 0.461 | 0.692 | 68.9 | 3.8 | 8.7 | |
| AECGAN2026.04 | 0.443 | 0.141 | 0.301 | 79 | 5.8 | 8.5 | |
| SigCWGAN-MCMCCorrection Framework=MCMC2026.04 | 0.44 | 0.341 | 0.507 | 79.4 | 0.2 | 8.4 | |
| RCWGAN2026.04 | 0.427 | 0.119 | 0.238 | 76.2 | 9.2 | 8.4 | |
| RCGAN2026.04 | 0.353 | 0.118 | 0.3 | 79.8 | 4.5 | 8.6 | |
| TimeGAN2026.04 | 0.343 | 0.132 | 0.311 | 78.5 | 5.5 | 8.5 | |
| AECGAN-MCMCCorrection Framework=MCMC2026.04 | 0.261 | 0.081 | 0.237 | 90.6 | 1.4 | 8.4 | |
| RCGAN-MCMCCorrection Framework=MCMC2026.04 | 0.147 | 0.063 | 0.203 | 93 | 0.8 | 8.5 | |
| TimeGAN-MCMCCorrection Framework=MCMC2026.04 | 0.121 | 0.053 | 0.173 | 93.3 | 0.8 | 8.4 | |
| RCWGAN-MCMCCorrection Framework=MCMC2026.04 | 0.085 | 0.05 | 0.102 | 92.6 | 1.3 | 8.4 |