Table 4 Metrics MAE, MAPE, RMSE, and NSE for Decomposition-Prediction and Decomposition-Optimization-Prediction models.

From: Predicting mine water inflow volumes using a decomposition-optimization algorithm-machine learning approach

 

MAE

MAPE

RMSE

NSE

TIME

LSTM

186.468

2.811%

252.381

0.724

2min14s

EMD-LSTM

143.306

0.0214%

199.948

0.821

26min55s

EEMD-LSTM

131.576

0.0201%

175.408

0.858

30min13s

CEEMDAN-LSTM

128.836

0.0195%

157.678

0.909

33min29s

CEEMDAN-NGO-LSTM

96.577

0.0147%

122.143

0.958

1h40min32s

CEEMDAN-NGO-LSTM (working face)

87.760

4.060%

117.410

0.906

55min27s

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