Prediction of Soil Heavy Metal Content Based on Deep Reinforcement Learning

Table 2

Prediction error of different models on different data sets

	Models	Training				Validation
		MSE	MAE	RMSE	MAPE (%)	MSE	MAE	RMSE	MAPE (%)
Cd	SA1DW	138.67	8.46	11.77	63.68	203.55	10.11	14.27	84.96
	IDW	174.07	10.22	13.19	7634	225.69	10.84	15.02	89.67
	RFR	57.54	4.55	7.58	31.27	217.05	11.91	14.76	101.04
Cr	SAIDW	97.41	7.11	9.87	28.19	144.41	8.20	12.02	35.25
	IDW	119.63	8.40	10.93	33.22	158.79	8.49	12.60	36.46
	RFR	48.17	3.89	6.94	15.24	168.83	8.91	12.99	38.12
Ni	SAIDW	53.57	5.17	731	27.41	69.52	5S2	8.34	27.48
	IDW	76.06	6.59	8.72	33.60	73.63	5.77	8.58	28.04
	RFR	31.61	3.04	5.62	14.40	76.71	6.23	8.76	32.12
Pb	SAIDW	1037.) 1	18.91	18.91	27.89	690.88	20.63	26.28	34.03
	IDW	1279.24	22.52	35.76	33.87	712.62	21.02	26.69	34.44
	RFR	456.46	10.34	2136	14.89	886.51	22.03	29.77	39.06