Table 4 Performance of the stacked_LSTM and LSTM_RNN models while predicting Damage Index \(DI\)(dimensionless).

From: Rapid earthquake damage assessment via hybrid LSTM-RNN with a quantum-inspired classification head based on Autonomous Perceptron Model APM

Model

MSE

MAE

RMSE

MAPE

MedAE

R2 (%)

Stacked_LSTM

0.00026

0.0132

0.01630

5.25

0.0118

99.68

LSTM_RNN

\(2.24\times {10}^{-5}\)

0.0031

0.0047

1.51

0.0022

99.97

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