System Identification on Hair Dryer
9.28RMSEDeep Ensemble
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Deep EnsembleBase Model=LSTM, Coverage level=90%2026.05 | 9.28 | 92.91 | 12.04 | 0.13 | |
| Deep EnsembleBase Model=LSTM, Coverage=95%2026.05 | 9.28 | 96.47 | 14.34 | 0.17 | |
| MC DropoutBase Model=NODE, Coverage level=90%2026.05 | 9.31 | 98.46 | 16 | 0.16 | |
| MC DropoutBase Model=NODE, Coverage=95%2026.05 | 9.31 | 99.5 | 19.07 | 0.19 | |
| Deep EnsembleBase Model=NODE, Coverage level=90%2026.05 | 9.41 | 91.8 | 12.24 | 0.14 | |
| Deep EnsembleBase Model=NODE, Coverage=95%2026.05 | 9.41 | 96.23 | 14.58 | 0.17 | |
| J-INNBase Model=LSTM-2, Coverage=95%2026.05 | 9.69 | 95.37 | 15.09 | 0.28 | |
| J-INNBase Model=LSTM-2, Coverage level=90%2026.05 | 9.72 | 92.08 | 12.86 | 0.18 | |
| C-INNBase Model=LSTM-2, Coverage level=90%2026.05 | 9.88 | 90.32 | 14.27 | 0.53 | |
| C-INNBase Model=LSTM-2, Coverage=95%2026.05 | 9.88 | 95.83 | 17.92 | 0.3 | |
| J-INNBase Model=NODE-2, Coverage=95%2026.05 | 10.18 | 97.21 | 16.76 | 0.2 | |
| C-INNBase Model=NODE-2, Coverage level=90%2026.05 | 10.27 | 88.68 | 12.68 | 0.32 | |
| C-INNBase Model=NODE-2, Coverage=95%2026.05 | 10.27 | 93.93 | 15.32 | 0.35 | |
| J-INNBase Model=NODE-2, Coverage level=90%2026.05 | 10.5 | 92.24 | 13.14 | 0.22 | |
| MC DropoutBase Model=LSTM, Coverage level=90%2026.05 | 10.81 | 98.76 | 20.49 | 0.2 | |
| MC DropoutBase Model=LSTM, Coverage=95%2026.05 | 10.81 | 99.68 | 24.41 | 0.24 | |
| Bayesian NNBase Model=LSTM, Coverage level=90%2026.05 | 12.64 | 90.22 | 14.9 | 0.31 | |
| Bayesian NNBase Model=LSTM, Coverage=95%2026.05 | 12.64 | 95.53 | 17.75 | 0.31 | |
| Bayesian NNBase Model=NODE, Coverage level=90%2026.05 | 13.47 | 92.61 | 17.57 | 0.31 | |
| Bayesian NNBase Model=NODE, Coverage=95%2026.05 | 13.47 | 96.55 | 20.94 | 0.31 |