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The evaluation of model performance was done by statistical criteria (R2, RMSE, MAE and NSE) and the results are shown in Table 2.

Table 2

Performance evaluation belonging to 12-month ahead forecasting

Piezometer34567810111214192123
R2 0.97 0.92 0.9 0.88 0.9 0.81 0.87 0.83 0.81 0.96 0.94 0.8 0.84 
RMSE 0.0698 0.2365 0.1036 0.7104 0.0759 4.45 0.3869 0.556 0.622 0.2683 0.3578 1.1643 0.4605 
MAE 0.0493 0.1603 0.0691 0.0156 0.538 3.0362 0.2896 0.3633 0.4395 0.2095 0.1659 0.686 0.2922 
NSE 0.93 0.91 0.92 0.83 0.91 0.75 0.78 0.85 0.82 0.96 0.94 0.81 0.74 
Piezometer34567810111214192123
R2 0.97 0.92 0.9 0.88 0.9 0.81 0.87 0.83 0.81 0.96 0.94 0.8 0.84 
RMSE 0.0698 0.2365 0.1036 0.7104 0.0759 4.45 0.3869 0.556 0.622 0.2683 0.3578 1.1643 0.4605 
MAE 0.0493 0.1603 0.0691 0.0156 0.538 3.0362 0.2896 0.3633 0.4395 0.2095 0.1659 0.686 0.2922 
NSE 0.93 0.91 0.92 0.83 0.91 0.75 0.78 0.85 0.82 0.96 0.94 0.81 0.74 
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