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

Table 5

Statistical indicators of each predicted models for USGS 14181500 station during the testing phase.

Model	MAE	RMSE	MARE	RMSRE	RRMSE		erMAX	U95
ELM-M1	1.308	1.804	0.012	0.016	1.716	0.979	1.214	48.218
SVR-M1	8.116	10.540	0.074	0.091	10.027	0.008	1.000	47895.737
ELM-M2	0.645	1.054	0.006	0.010	1.002	0.985	1.193	7.309
SVR-M2	4.005	4.548	0.037	0.041	4.327	0.925	1.092	1271.496
ELM-M3	0.593	1.027	0.005	0.009	0.977	0.985	1.191	6.948
SVR-M3	19.363	20.324	0.188	0.199	19.335	0.009	1.283	417056.225
ELM-M4	0.316	0.823	0.003	0.008	0.783	0.986	1.181	3.592
SVR-M4	5.229	6.330	0.048	0.056	6.022	0.760	1.048	5579.844
ELM-M5	0.442	0.918	0.004	0.008	0.874	0.985	1.188	5.021
SVR-M5	0.441	0.862	0.004	0.008	0.820	0.986	1.183	3.869
ELM-M6	0.538	0.904	0.005	0.008	0.860	0.986	1.170	4.229
SVR-M6	1.416	1.896	0.013	0.017	1.804	0.945	1.152	84.101
ELM-M7	1.119	1.540	0.010	0.014	1.465	0.981	1.207	26.109
SVR-M7	0.904	1.777	0.008	0.015	1.691	0.932	1.128	76.123
ELM-M8	0.469	0.877	0.004	0.008	0.835	0.985	1.172	4.111
SVR-M8	0.719	1.171	0.007	0.011	1.114	0.984	1.198	10.954