Time-series forecasting on Crypto
0.202RMSEMOSAIC
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MOSAICLLM Backbone=GPT-3.52026.05 | 0.202 | 0.051 | 1.531 | 1.534 | 100 | |
| MOSAICLLM Backbone=GPT-4o2026.05 | 0.207 | 0.051 | 1.543 | 1.547 | 100 | |
| MOSAICLLM Backbone=Nova2026.05 | 0.214 | 0.052 | 1.535 | 1.54 | 100 | |
| MOSAICLLM Backbone=Claude2026.05 | 0.217 | 0.054 | 1.583 | 1.591 | 100 | |
| TS-AgentLLM Backbone=Claude2026.05 | 0.218 | 0.054 | 1.62 | 1.616 | 100 | |
| TS-AgentLLM Backbone=Nova2026.05 | 0.219 | 0.055 | 1.621 | 1.623 | 100 | |
| TS-AgentLLM Backbone=GPT-3.52026.05 | 0.22 | 0.055 | 1.626 | 1.629 | 100 | |
| ResearchAgentLLM Backbone=Nova2026.05 | 0.222 | 0.061 | 2.083 | 2.082 | 60 | |
| DS-AgentLLM Backbone=GPT-3.52026.05 | 0.223 | 0.059 | 1.945 | 2.05 | 60 | |
| AutoGluon2026.05 | 0.223 | 0.055 | 1.661 | 1.668 | 100 | |
| TS-AgentLLM Backbone=GPT-4o2026.05 | 0.224 | 0.056 | 1.647 | 1.647 | 100 | |
| DS-AgentLLM Backbone=GPT-4o2026.05 | 0.23 | 0.061 | 1.965 | 1.957 | 60 | |
| DS-AgentLLM Backbone=Nova2026.05 | 0.232 | 0.072 | 2.215 | 2.215 | 60 | |
| ResearchAgentLLM Backbone=GPT-3.52026.05 | 0.232 | 0.064 | 1.911 | 1.856 | 60 | |
| ResearchAgentLLM Backbone=GPT-4o2026.05 | 0.239 | 0.063 | 1.895 | 1.903 | 60 | |
| DS-AgentLLM Backbone=Claude2026.05 | 0.258 | 0.075 | 2.519 | 2.485 | 60 | |
| ResearchAgentLLM Backbone=Claude2026.05 | 0.301 | 0.081 | 2.48 | 2.518 | 60 |