Table 7 Forecast accuracy for corn,... | Emerald Publishing

Table 7

Forecast accuracy for corn, soybeans, and wheat farm price using LSTM

		Corn		Soybeans		Wheat
Horizon	Method	RMSE	MAPE(%)	RMSE	MAPE(%)	RMSE	MAPE(%)
h = 0
	LSTM	1.012	17.954	2.068	15.131	1.309	18.934
	LSTM	(0.003)	(0.073)	(0.006)	(0.054)	(0.004)	(0.069)
	CNN-LSTM	1.559	30.1	2.689	20.972	1.517	22.52
	CNN-LSTM	(0.019)	(0.335)	(0.062)	(0.346)	(0.029)	(0.344)
	ED-LSTM	1.445	22.78	2.656	18.534	1.503	21.185
	ED-LSTM	(0.005)	(0.108)	(0.01)	(0.081)	(0.005)	(0.101)
h = 1
	LSTM	0.679	11.708	1.316	10.665	0.852	12.812
	LSTM	(0.003)	(0.077)	(0.007)	(0.065)	(0.005)	(0.077)
	CNN-LSTM	1.457	26.762	2.622	20.312	1.342	19.767
	CNN-LSTM	(0.017)	(0.35)	(0.055)	(0.327)	(0.028)	(0.336)
	ED-LSTM	1.358	22.244	2.409	17.739	1.213	17.935
	ED-LSTM	(0.006)	(0.137)	(0.012)	(0.104)	(0.006)	(0.106)
h = 2
	LSTM	0.628	10.888	1.012	8.334	0.653	9.946
	LSTM	(0.003)	(0.079)	(0.007)	(0.065)	(0.004)	(0.079)
	CNN-LSTM	1.275	24.114	2.288	17.627	1.24	18.616
	CNN-LSTM	(0.017)	(0.379)	(0.06)	(0.341)	(0.029)	(0.364)
	ED-LSTM	1.521	26.802	2.607	20.219	1.379	21.889
	ED-LSTM	(0.007)	(0.149)	(0.015)	(0.117)	(0.007)	(0.13)
h = 3
	LSTM	0.742	13.138	1.026	7.541	0.708	10.222
	LSTM	(0.004)	(0.081)	(0.008)	(0.064)	(0.004)	(0.072)
	CNN-LSTM	1.273	24.583	2.142	16.089	1.165	17.584
	CNN-LSTM	(0.019)	(0.374)	(0.061)	(0.34)	(0.03)	(0.366)
	ED-LSTM	1.621	28.608	2.826	21.857	1.594	25.364
	ED-LSTM	(0.007)	(0.165)	(0.016)	(0.152)	(0.008)	(0.146)
h = 4
	LSTM	1.407	28.528	2.412	17.393	1.586	23.735
	LSTM	(0.005)	(0.13)	(0.011)	(0.097)	(0.006)	(0.107)
	CNN-LSTM	1.523	30.664	2.677	20.688	1.5	22.561
	CNN-LSTM	(0.018)	(0.366)	(0.052)	(0.336)	(0.027)	(0.37)
	ED-LSTM	1.591	30.059	3.058	23.567	1.739	28.479
	ED-LSTM	(0.006)	(0.181)	(0.014)	(0.141)	(0.008)	(0.155)

		Corn		Soybeans		Wheat
Horizon	Method	RMSE	MAPE(%)	RMSE	MAPE(%)	RMSE	MAPE(%)
h = 0
	LSTM	1.012	17.954	2.068	15.131	1.309	18.934
	LSTM	(0.003)	(0.073)	(0.006)	(0.054)	(0.004)	(0.069)
	CNN-LSTM	1.559	30.1	2.689	20.972	1.517	22.52
	CNN-LSTM	(0.019)	(0.335)	(0.062)	(0.346)	(0.029)	(0.344)
	ED-LSTM	1.445	22.78	2.656	18.534	1.503	21.185
	ED-LSTM	(0.005)	(0.108)	(0.01)	(0.081)	(0.005)	(0.101)
h = 1
	LSTM	0.679	11.708	1.316	10.665	0.852	12.812
	LSTM	(0.003)	(0.077)	(0.007)	(0.065)	(0.005)	(0.077)
	CNN-LSTM	1.457	26.762	2.622	20.312	1.342	19.767
	CNN-LSTM	(0.017)	(0.35)	(0.055)	(0.327)	(0.028)	(0.336)
	ED-LSTM	1.358	22.244	2.409	17.739	1.213	17.935
	ED-LSTM	(0.006)	(0.137)	(0.012)	(0.104)	(0.006)	(0.106)
h = 2
	LSTM	0.628	10.888	1.012	8.334	0.653	9.946
	LSTM	(0.003)	(0.079)	(0.007)	(0.065)	(0.004)	(0.079)
	CNN-LSTM	1.275	24.114	2.288	17.627	1.24	18.616
	CNN-LSTM	(0.017)	(0.379)	(0.06)	(0.341)	(0.029)	(0.364)
	ED-LSTM	1.521	26.802	2.607	20.219	1.379	21.889
	ED-LSTM	(0.007)	(0.149)	(0.015)	(0.117)	(0.007)	(0.13)
h = 3
	LSTM	0.742	13.138	1.026	7.541	0.708	10.222
	LSTM	(0.004)	(0.081)	(0.008)	(0.064)	(0.004)	(0.072)
	CNN-LSTM	1.273	24.583	2.142	16.089	1.165	17.584
	CNN-LSTM	(0.019)	(0.374)	(0.061)	(0.34)	(0.03)	(0.366)
	ED-LSTM	1.621	28.608	2.826	21.857	1.594	25.364
	ED-LSTM	(0.007)	(0.165)	(0.016)	(0.152)	(0.008)	(0.146)
h = 4
	LSTM	1.407	28.528	2.412	17.393	1.586	23.735
	LSTM	(0.005)	(0.13)	(0.011)	(0.097)	(0.006)	(0.107)
	CNN-LSTM	1.523	30.664	2.677	20.688	1.5	22.561
	CNN-LSTM	(0.018)	(0.366)	(0.052)	(0.336)	(0.027)	(0.37)
	ED-LSTM	1.591	30.059	3.058	23.567	1.739	28.479
	ED-LSTM	(0.006)	(0.181)	(0.014)	(0.141)	(0.008)	(0.155)

Source(s): Created by the authors