Predicting Irrigation Water Quality Indices Based on Data-Driven Algorithms: Case Study in Semiarid Environment

Table 6

Comparison between different models’ performance.

	LR					RSS				SVM				AR					REPTree
	RMSE		r	MSE	MAE	RMSE	r	MSE	MAE	RMSE	r	MSE	MAE	RMSE		r	MSE	MAE	RMSE	r	MSE	MAE
Train	KR	0.1347	0.936	0.018142	0.0916	0.1072	0.9636	0.01149	0.0655	0.1165	0.956	0.013571	0.071	KR	0.1031	0.9661	0.010633	0.0621	31.6945	0.9556	0.01473	0.068
	MH	7.5467	0.8454	56.95347	5.3615	3.909	0.9616	15.27995	2.8828	4.2215	0.9546	17.82021	2.814	MH	3.82	0.9634	14.59281	2.7928	4.1625	0.9561	17.32617	2.8226
	SSP	6.1867	0.8749	38.27535	4.4615	2.7788	0.9761	7.722282	1.9971	3.0118	0.972	9.070936	2.0718	SSP	2.6868	0.9778	7.219327	1.9196	2.8648	0.9746	8.207105	2.0187
	SAR	0.2183	0.9853	0.047618	0.1444	0.2861	0.979	0.081844	0.145	0.2767	0.9807	0.076575	0.1308	SAR	0.3004	0.9744	0.090245	0.1488	0.4003	0.961	0.160246	0.1479
	%Na	5.7977	0.8825	33.61445	4.2076	3.5897	0.9567	12.88595	2.7885	3.2326	0.9652	10.44961	2.2881	%Na	3.4375	0.9611	11.81618	2.6419	3.7704	0.9534	14.21579	2.6201
	PI	7.5174	0.877	56.51042	5.6192	4.3149	0.9622	18.61812	3.2678	4.592	0.956	21.08588	3.3637	PI	4.5108	0.9577	20.34772	3.5802	4.6661	0.9551	21.77212	3.6209
Test	KR	0.0754	0.9016	0.005705	0.0602	0.0837	0.8888	0.006988	0.0533	0.0662	0.9364	0.004381	0.042	KR	0.0712	0.9223	0.005083	0.0553	0.0781	0.9083	0.006108	0.0559
	MH	4.7873	0.942	22.9183	4.0303	3.9627	0.9584	15.70277	3.2096	4.0568	0.9618	16.45781	3.1999	MH	4.1999	0.9587	17.64038	3.5776	3.9804	0.9561	15.84309	3.3622
	SSP	3.8575	0.9811	14.88043	3.2127	2.5604	0.965	6.555419	1.9217	3.0168	0.9588	9.101218	2.3584	SSP	3.6843	0.9335	13.57334	2.795	2.6323	0.9679	6.928808	2.0269
	SAR	0.1222	0.9733	0.014953	0.0952	0.1411	0.9666	0.019914	0.1022	0.1113	0.9819	0.012383	0.0726	SAR	0.1401	0.9717	0.019609	0.1052	0.1379	0.9659	0.019049	0.0982
	%Na	3.2215	0.9811	10.3783	2.4304	4.026	0.9168	16.20922	2.9814	3.7046	0.9547	13.72447	2.9603	%Na	3.4726	0.9395	12.05931	2.7483	4.0133	0.9252	16.10663	2.838
	PI	6.1774	0.8321	38.16091	5.2347	6.0438	0.8253	36.53067	4.6719	5.1066	0.8903	26.078	4.0582	PI	6.0103	0.8323	36.12515	4.589	5.4483	0.8575	29.68431	4.2895