Assessment of Artificial Intelligence Models for Developing Single-Value and Loop Rating Curves

Table 1

Range of calibration and validation data.

Data	Reference of data	Parameter	Training data			Test data
			Minimum	Maximum	Mean	Minimum	Maximum	Mean
Dataset 1	[25]	G (m)	622.23	624.24	623.06	622.24	624.14	623.08
Dataset 2	[16]	G (m)	1.79	2.61	1.94	1.8	2.5	1.93
Dataset 3	[24]	G (m)	1.8	4.49	2.14	1.8	4.46	2.39
Dataset 4	[26]	G (m)	0.27	3.34	1.12	0.3	3.306	0.98
Dataset 5	[27]	G (ft)	21.78	46.29	36.15	22.08	46.23	36.62
Dataset 6	[28]	G (ft)	1.00	2.98	1.79	1.04	2.51	1.65
Dataset 7	[17]	G (ft)	885.99	981.10	892.69	886.11	893.48	891.28
Dataset 8	[17]	G (ft)	881.01	885.96	883.98	881.01	885.96	883.89
Dataset 1	[25]	Q (m^3/s)	30.56	451.87	170.79	31.48	425.71	171.19
Dataset 2	[16]	Q (m^3/s)	17.7	484.22	73.63	19.11	407.76	71.65
Dataset 3	[24]	Q (m^3/s)	71.08	656.95	173.71	71.08	639.96	174.43
Dataset 4	[26]	Q (m^3/s)	2.33	236.6	54.37	2.923	228.5	44.39
Dataset 5	[27]	Q (ft^3/s)	323237	1078225	690475	337255	1058347	709212
Dataset 6	[28]	Q (ft^3/s)	21.38	374.74	133.02	23.65	236.93	99.97
Dataset 7	[17]	Q (ft^3/s)	1110.00	7060.00	4973.71	1380.00	6920.00	4886.75
Dataset 8	[17]	Q (ft^3/s)	1490.00	6550.00	4122.27	1490.00	6520.00	4047.19