Table 3.

The performance evaluation of applied models in rice production.

Models	R2	NSE	RMSE (× 104 ton)
RF	0.767	0.762	38.359
XGB	0.760	0.756	38.374
RF-XGB	0.859	0.856	26.690
LSTM	0.757	0.755	39.200
CNN	0.679	0.669	43.914
LSTM-CNN	0.851	0.850	29.052
Scenario
Sc1	0.825	0.823	35.59
Sc2	0.895	0.900	26.92
Sc3	0.883	0.872	28.68
Sc4	0.498	0.489	58.30
Sc5	0.899	0.898	26.31
Sc6	0.362	0.340	68.66
Sc7	0.894	0.892	27.32
Sc8	0.950	0.950	18.69
Sc9	0.881	0.879	28.69
Sc10	0.533	0.529	56.80
Sc11	0.948	0.948	19.30

The values in the table were estimated as averages for the applied models and input scenarios. Significant values are in bold.