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

Table 4

Statistical criteria of each predicted models for USGS 14150000 station during the training set.

Model	MAE	RMSE	MARE	RMSRE	RRMSE		erMAX	U95
ELM-M1	0.374	0.583	0.004	0.006	0.574	0.981	1.086	0.862
SVR-M1	0.293	0.569	0.003	0.006	0.560	0.981	1.086	0.819
ELM-M2	0.328	0.575	0.003	0.006	0.567	0.981	1.087	0.852
SVR-M2	0.319	0.546	0.003	0.005	0.538	0.982	1.086	0.698
ELM-M3	0.326	0.569	0.003	0.006	0.561	0.981	1.086	0.819
SVR-M3	0.296	0.564	0.003	0.006	0.556	0.981	1.086	0.795
ELM-M4	0.309	0.566	0.003	0.006	0.557	0.981	1.086	0.802
SVR-M4	0.280	0.556	0.003	0.005	0.548	0.981	1.086	0.750
ELM-M5	0.344	0.572	0.003	0.006	0.563	0.981	1.085	0.820
SVR-M5	0.271	0.530	0.003	0.005	0.522	0.983	1.086	0.618
ELM-M6	0.369	0.578	0.004	0.006	0.570	0.981	1.084	0.832
SVR-M6	0.296	0.503	0.003	0.005	0.495	0.985	1.085	0.492
ELM-M7	0.367	0.585	0.004	0.006	0.576	0.980	1.089	0.918
SVR-M7	0.288	0.568	0.003	0.006	0.559	0.981	1.086	0.817
ELM-M8	0.439	0.624	0.004	0.006	0.614	0.979	1.092	1.163
SVR-M8	2.810	3.103	0.027	0.030	3.056	0.661	1.073	465.864