Classification on IoT sensor dataset (test)
90Test AccuracyIGADA-IoT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| IGADA-IoTDownstream Model=1D-CNN2026.04 | 90 | 89.8 | |
| IGADA-IoTDownstream Model=Transformer2026.04 | 90 | 90.1 | |
| TSW (g3)Downstream Model=Transformer2026.04 | 86.3 | 85.9 | |
| ImagenTime (g1)Downstream Model=Transformer2026.04 | 85.4 | 85 | |
| DS-DiffusionDownstream Model=Transformer2026.04 | 85.4 | 85 | |
| DTW (g4)Downstream Model=Transformer2026.04 | 84.5 | 84.2 | |
| KoVAEDownstream Model=Transformer2026.04 | 84.2 | 85.1 | |
| Diffusion-TSDownstream Model=Transformer2026.04 | 84.1 | 84.6 | |
| DiffTimeDownstream Model=Transformer2026.04 | 83.9 | 83 | |
| DTW (g4)Downstream Model=1D-CNN2026.04 | 83.6 | 83.6 | |
| ImagenTime (g1)Downstream Model=1D-CNN2026.04 | 82.7 | 82.5 | |
| DS-DiffusionDownstream Model=1D-CNN2026.04 | 82.7 | 82.6 | |
| TSW (g3)Downstream Model=1D-CNN2026.04 | 82.7 | 82.9 | |
| KoVAEDownstream Model=1D-CNN2026.04 | 82.6 | 82.7 | |
| DiffTimeDownstream Model=1D-CNN2026.04 | 81.9 | 81.7 | |
| RIM (g2)Downstream Model=Transformer2026.04 | 81.8 | 81.3 | |
| Non-SIMDownstream Model=Transformer2026.04 | 81.7 | 81.2 | |
| Diffusion-TSDownstream Model=1D-CNN2026.04 | 81.6 | 81.7 | |
| MG-TSDDownstream Model=Transformer2026.04 | 81 | 81.5 | |
| RIM (g2)Downstream Model=1D-CNN2026.04 | 80.9 | 80.6 | |
| Borderline-SMOTEDownstream Model=Transformer2026.04 | 80.9 | 81 | |
| SMOTEDownstream Model=Transformer2026.04 | 80.5 | 80.3 | |
| Borderline-SMOTEDownstream Model=1D-CNN2026.04 | 80.4 | 80.2 | |
| Non-SIMDownstream Model=1D-CNN2026.04 | 80.2 | 79.5 | |
| MG-TSDDownstream Model=1D-CNN2026.04 | 80.1 | 79.9 | |
| TimeGANDownstream Model=Transformer2026.04 | 80 | 80.1 | |
| SMOTEDownstream Model=1D-CNN2026.04 | 79.2 | 79 | |
| TimeGANDownstream Model=1D-CNN2026.04 | 78.9 | 78.6 |