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Test accuracies and root mean square errors (RMSEs) of trained recurrent neural network (RNN) algorithms.
| Type of RNN | Test accuracy (R2) | Test RMSE |
|---|---|---|
| Long short-term memory (LSTM) | 0.72 | 0.08 |
| Gated recurrent unit (GRU) | 0.68 | 0.09 |
| Multi-layered LSTM | 0.70 | 0.08 |
| Multi-layered GRU | 0.68 | 0.09 |
