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ResearchFormerly WizWand

System Identification on Hair Dryer

9.28RMSEDeep Ensemble
9.112410.243711.37512.5063May 12, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Deep EnsembleBase Model=LSTM, Coverage level=90%2026.059.2892.9112.040.13
Deep EnsembleBase Model=LSTM, Coverage=95%2026.059.2896.4714.340.17
MC DropoutBase Model=NODE, Coverage level=90%2026.059.3198.46160.16
MC DropoutBase Model=NODE, Coverage=95%2026.059.3199.519.070.19
Deep EnsembleBase Model=NODE, Coverage level=90%2026.059.4191.812.240.14
Deep EnsembleBase Model=NODE, Coverage=95%2026.059.4196.2314.580.17
J-INNBase Model=LSTM-2, Coverage=95%2026.059.6995.3715.090.28
J-INNBase Model=LSTM-2, Coverage level=90%2026.059.7292.0812.860.18
C-INNBase Model=LSTM-2, Coverage level=90%2026.059.8890.3214.270.53
C-INNBase Model=LSTM-2, Coverage=95%2026.059.8895.8317.920.3
J-INNBase Model=NODE-2, Coverage=95%2026.0510.1897.2116.760.2
C-INNBase Model=NODE-2, Coverage level=90%2026.0510.2788.6812.680.32
C-INNBase Model=NODE-2, Coverage=95%2026.0510.2793.9315.320.35
J-INNBase Model=NODE-2, Coverage level=90%2026.0510.592.2413.140.22
MC DropoutBase Model=LSTM, Coverage level=90%2026.0510.8198.7620.490.2
MC DropoutBase Model=LSTM, Coverage=95%2026.0510.8199.6824.410.24
Bayesian NNBase Model=LSTM, Coverage level=90%2026.0512.6490.2214.90.31
Bayesian NNBase Model=LSTM, Coverage=95%2026.0512.6495.5317.750.31
Bayesian NNBase Model=NODE, Coverage level=90%2026.0513.4792.6117.570.31
Bayesian NNBase Model=NODE, Coverage=95%2026.0513.4796.5520.940.31