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Table 1:
Algorithmic Test on GORU, GRU, LSTM, EURNN, oRNN, and uRNN.
Model Accuracy 
LSTM 70.3±1.1 
GRU 64.2±2.1 
uRNN 66.3±2.2 
oRNN 44.5±2.4 
EURNN 54.5±0.9 
GORU (EURNN FFT-style) 73.9±1.4 
GORU (Householder) 73.6±2.3 
Model Accuracy 
LSTM 70.3±1.1 
GRU 64.2±2.1 
uRNN 66.3±2.2 
oRNN 44.5±2.4 
EURNN 54.5±0.9 
GORU (EURNN FFT-style) 73.9±1.4 
GORU (Householder) 73.6±2.3 

Notes: GORU significantly outperforms all other RNN models. The bold number represents the highest accuracy.

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