Time series prediction on Logistic
0.1883Average RMSENash
Evaluation Results
| Method | Links | |
|---|---|---|
| NashNumber of agents=5002026.05 | 0.1883 | |
| NashNumber of agents=1002026.05 | 0.19 | |
| NashNumber of agents=252026.05 | 0.1902 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=25, Model Architecture=RFN2026.05 | 0.1973 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=100, Model Architecture=RFN2026.05 | 0.1976 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=500, Model Architecture=RFN2026.05 | 0.1977 | |
| GreedyOptimization Strategy=Greedy, Number of agents=500, Model Architecture=RFN2026.05 | 0.2381 | |
| GreedyNumber of agents=1002026.05 | 0.2431 | |
| GreedyOptimization Strategy=Greedy, Number of agents=100, Model Architecture=RFN2026.05 | 0.2505 | |
| GreedyOptimization Strategy=Greedy, Number of agents=25, Model Architecture=RFN2026.05 | 0.2524 | |
| GreedyNumber of agents=5002026.05 | 0.2556 | |
| GreedyNumber of agents=252026.05 | 0.2587 | |
| NashModel Type=RFN, Agent Pool Size=1002026.05 | 0.3457 | |
| NashModel Type=RFN, Agent Pool Size=5002026.05 | 0.402 | |
| NashModel Type=ESN, Agent Pool Size=1002026.05 | 0.4423 | |
| GreedyModel Type=ESN, Agent Pool Size=5002026.05 | 0.4568 | |
| NashModel Type=ESN, Agent Pool Size=5002026.05 | 0.5578 | |
| GreedyModel Type=ESN, Agent Pool Size=1002026.05 | 0.7051 | |
| GreedyModel Type=RFN, Agent Pool Size=1002026.05 | 1.3444 | |
| GreedyModel Type=RFN, Agent Pool Size=5002026.05 | 1.872 |