Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction

Table 9

RMAE (%) measures using the LAS on testing dataset.

Crop	RMAE (%)
	SLR	MLR	M5′	ANN
PJ01	40.61	15.46	10.00	12.46
CBP02	14.10	5.16	8.41	6.41
CBA03	10.11	14.99	12.35	6.08
CBM04	11.31	8.65	1.72	1.72
CP05	10.11	8.81	8.04	8.46
PA06	27.17	26.98	23.10	26.29
PA07	21.01	17.61	18.35	17.40
TS08	14.75	11.08	13.46	24.27
Average (RRSE < 100)	10.11	11.13	10.79	8.75
Count (RRSE < 100)	1	5	6	6
Average (all)	18.65	13.59	11.93	12.89