Data-Driven Model for the Prediction of Total Dissolved Gas: Robust Artificial Intelligence Approach

Table 6

Statistical indicators of each predicted models for USGS 14150000 station during the testing phase.

Model	MAE	RMSE	MARE	RMSRE	RRMSE		erMAX	U95
ELM-M1	0.379	0.586	0.004	0.006	0.549	0.991	1.047	0.898
SVR-M1	0.317	0.572	0.003	0.005	0.537	0.991	1.047	0.842
ELM-M2	0.339	0.576	0.003	0.005	0.540	0.991	1.047	0.864
SVR-M2	3.822	4.273	0.037	0.041	4.008	0.723	1.079	2053.114
ELM-M3	0.373	0.577	0.004	0.005	0.541	0.991	1.046	0.851
SVR-M3	8.619	10.380	0.078	0.093	9.736	0.018	1.021	39877.590
ELM-M4	0.338	0.571	0.003	0.005	0.536	0.991	1.047	0.832
SVR-M4	8.799	10.463	0.080	0.094	9.814	0.086	1.018	39559.262
ELM-M5	0.463	0.618	0.004	0.006	0.580	0.991	1.044	0.990
SVR-M5	8.875	10.572	0.081	0.095	9.916	0.054	1.017	41293.085
ELM-M6	0.495	0.639	0.005	0.006	0.599	0.991	1.044	1.080
SVR-M6	3.282	4.321	0.030	0.038	4.053	0.550	1.102	2508.932
ELM-M7	0.517	0.688	0.005	0.006	0.646	0.988	1.055	1.754
SVR-M7	0.396	0.572	0.003	0.005	0.536	0.991	1.047	0.837
ELM-M8	0.513	0.680	0.005	0.006	0.637	0.988	1.052	1.672
SVR-M8	5.034	5.942	0.048	0.057	5.573	0.009	1.116	9694.100