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

Table 3

Statistical criteria of each predicted models for USGS 14181500 station during the training set.

Model	MAE	RMSE	MARE	RMSRE	RRMSE		erMAX	U95
ELM-M1	1.4311	1.9436	0.0132	0.0173	1.8625	0.9827	1.2733	63.0982
SVR-M1	8.3559	10.4287	0.0770	0.0926	9.9934	0.2	1.0000	42756.9442
ELM-M2	0.6033	1.0258	0.0056	0.0092	0.9830	0.9824	1.2391	6.8153
SVR-M2	0.4244	0.8826	0.0040	0.0079	0.8458	0.9810	1.2207	4.7401
ELM-M3	0.4764	0.9483	0.0044	0.0084	0.9087	0.9825	1.2349	5.5517
SVR-M3	1.1037	1.5475	0.0102	0.0138	1.4829	0.9828	1.2610	27.1510
ELM-M4	0.3272	0.8571	0.0030	0.0076	0.8213	0.9822	1.2265	4.2314
SVR-M4	1.3372	1.5625	0.0128	0.0147	1.4972	0.9806	1.2292	20.2709
ELM-M5	0.4599	0.9717	0.0042	0.0086	0.9311	0.9825	1.2366	6.2246
SVR-M5	0.6284	0.9966	0.0059	0.0090	0.9550	0.9824	1.2333	5.8313
ELM-M6	0.3230	0.8462	0.0030	0.0075	0.8109	0.9820	1.2258	4.0191
SVR-M6	2.3503	2.8870	0.0221	0.0265	2.7665	0.9515	1.2317	261.4542
ELM-M7	0.7394	1.2223	0.0068	0.0109	1.1713	0.9815	1.2468	13.1359
SVR-M7	1.1364	1.6076	0.0107	0.0147	1.5405	0.9469	1.1783	45.4376
ELM-M8	0.5822	0.9770	0.0054	0.0087	0.9363	0.9813	1.2184	5.6848
SVR-M8	0.5510	1.0121	0.0051	0.0090	0.9698	0.9826	1.2406	6.8033