Table 4.

The performance evaluation of applied models in rice production.

	Sc1	Sc2	Sc3	Sc4	Sc5	Sc6	Sc7	Sc8	Sc9	Sc10	Sc11
R2
RF	0.81	0.88	0.89	0.47	0.89	0.35	0.90	0.93	0.90	0.50	0.92
XGB	0.80	0.91	0.89	0.44	0.91	0.29	0.88	0.95	0.81	0.52	0.95
RF-XGB	0.87	0.94	0.87	0.69	0.94	0.52	0.94	0.97	0.94	0.80	0.97
LSTM	0.82	0.84	0.88	0.54	0.84	0.34	0.82	0.96	0.83	0.51	0.96
CNN	0.82	0.84	0.88	0.11	0.86	0.25	0.89	0.92	0.84	0.13	0.92
LSTM-CNN	0.82	0.96	0.89	0.74	0.96	0.42	0.95	0.97	0.95	0.74	0.97
NSE
RF	0.81	0.88	0.89	0.46	0.88	0.32	0.90	0.93	0.90	0.48	0.92
XGB	0.80	0.91	0.89	0.43	0.91	0.27	0.87	0.95	0.81	0.52	0.95
RF-XGB	0.87	0.94	0.87	0.68	0.94	0.49	0.94	0.97	0.94	0.80	0.97
LSTM	0.82	0.84	0.87	0.53	0.84	0.33	0.82	0.96	0.83	0.51	0.96
CNN	0.82	0.88	0.82	0.09	0.86	0.20	0.89	0.92	0.84	0.13	0.92
LSTM-CNN	0.82	0.96	0.89	0.74	0.96	0.42	0.94	0.97	0.95	0.73	0.97
MAE
RF	15.3	11.4	14.3	35.1	11.7	39.7	11.5	9.4	11.8	33.1	9.8
XGB	16.3	11.1	14.2	36.9	12.8	43.8	14.1	7.9	16.8	32.6	10.7
RF-XGB	11.6	7.4	13.8	19.1	7.7	30.9	8.2	5.9	8.5	17.5	6.8
LSTM	14.9	15.4	16.8	37.9	15.0	41.1	15.1	8.4	15.9	37.9	9.8
CNN	14.7	15.9	16.1	50.4	14.9	41.7	13.2	9.8	14.0	51.4	12.3
LSTM-CNN	15.7	10.1	12.6	26.8	9.3	38.5	9.9	9.4	10.3	23.8	8.3