Time Series Classification on EthanolConcentration
53AccuracyLPTM
Evaluation results
| Method | Links | |
|---|---|---|
| LPTM2023.11 | 53 | |
| TST2023.11 | 46 | |
| RocketMethod Category=Classical Methods2022.02 | 45.2 | |
| TS2Vec2023.11 | 45 | |
| XGBoostMethod Category=Classical Methods2022.02 | 43.7 | |
| WEASEL+MUSE2025.10 | 43 | |
| LSTNet2026.03 | 39.9 | |
| Chimera2026.03 | 39.8 | |
| FETABackbone=Qwen32025.10 | 38 | |
| MLSTM-FCNs2025.10 | 37.3 | |
| TS-TCC2023.11 | 37 | |
| MTCN2026.03 | 36.3 | |
| FETABackbone=DeepSeek R12025.10 | 36.2 | |
| TimesNet2026.03 | 35.7 | |
| VI 2D Mamba2026.03 | 35.7 | |
| TimesNet2025.02 | 35.7 | |
| MERIT2025.10 | 35 | |
| GTM2025.02 | 34.2 | |
| GPT4TS2025.02 | 34.2 | |
| TimesURL2025.10 | 34.2 | |
| TimesNet2023.11 | 34 | |
| SimMTM2023.11 | 34 | |
| FlowformerMethod Category=Transformer2022.02 | 33.8 | |
| Flowformer2026.03 | 33.8 | |
| TS2Vec2025.10 | 33.8 | |
| cosFormerMethod Category=Transformer2022.02 | 33.5 | |
| TS-TCC2025.10 | 33.1 | |
| PatchTST2026.03 | 32.8 | |
| TransformerMethod Category=Transformer2022.02 | 32.7 | |
| Stationary2026.03 | 32.7 | |
| T-Loss2025.10 | 32.7 | |
| DLinear2026.03 | 32.6 | |
| DTWMethod Category=Classical Methods2022.02 | 32.3 | |
| LSTMMethod Category=RNN2022.02 | 32.3 | |
| LongformerMethod Category=Transformer2022.02 | 32.3 | |
| SoftMethod Category=Transformer2022.02 | 32.3 | |
| LSTM2026.03 | 32.3 | |
| TST2025.10 | 32.3 | |
| TARNet2023.11 | 32 | |
| Linear TransformerMethod Category=Transformer2022.02 | 31.9 | |
| ReformerMethod Category=Transformer2022.02 | 31.9 | |
| Reformer2026.03 | 31.9 | |
| Informer2026.03 | 31.6 | |
| Autoformer2026.03 | 31.6 | |
| PerformerMethod Category=Transformer2022.02 | 31.2 | |
| YOSO-EMethod Category=Transformer2022.02 | 31.2 | |
| FEDformer2026.03 | 31.2 | |
| LSSL2026.03 | 31.1 | |
| Pyraformer2026.03 | 30.8 | |
| TransformerArchitecture=Transformer2024.05 | 29.89 | |
| LightTS2026.03 | 29.7 | |
| AarenArchitecture=Aaren2024.05 | 29.58 | |
| DTW2025.10 | 29.3 | |
| Unsupervised TCNMethod Category=TCN2022.02 | 28.9 | |
| LETBackbone=Qwen-0.5B, Alignment depth=6, Teacher Model=TimesNet2026.02 | 28.8 | |
| FETABackbone=LLaMA3.12025.10 | 28.5 | |
| ETSformer2026.03 | 28.1 | |
| iTransformer2025.02 | 28.1 | |
| Autoformer2023.11 | 27 | |
| Qwen-0.5BBackbone=Qwen-0.5B, Training=fine-tuning2026.02 | 25.8 | |
| DeepSeek R12025.10 | 21.7 | |
| CRT2023.11 | 21 | |
| Informer2023.11 | 14 |