Table 5.
Model | Classification dataset | Training loss ↓ | Test loss ↓ | Test accuracy (%) ↑ |
---|---|---|---|---|
Baseline | House14K | 0.19 ± 0.003 | 0.19 ± 0.004 | 98.10 ± 0.08 |
ESS-MB | House14K | 0.08 ± 0.002 | 0.08 ± 0.002 | 99.35 ± 0.08 |
Baseline | House14KLighting | 0.88 ± 0.01 | 0.93 ± 0.01 | 78.70 ± 0.85 |
ESS-MB | House14KLighting | 0.47 ± 0.02 | 0.52 ± 0.03 | 87.37 ± 0.54 |
Baseline | Apt14K | 1.30 ± 0.04 | 1.30 ± 0.03 | 74.85 ± 0.26 |
ESS-MB | Apt14K | 0.65 ± 0.03 | 0.64 ± 0.03 | 89.84 ± 0.97 |