Table 4 Experiments Desembocadura.

Horizon	Algorithm	MAE	RMSE	CVRMSE	WI	NSE
1H	DT	0.008	0.076	54.448	0.922	0.858
	GB	0.008	0.066	47.251	0.924	0.893
	KNN	0.017	0.085	61.424	0.844	0.820
	LR	0.008	0.054	38.961	0.921	0.928
	RF	0.006	0.065	46.940	0.942	0.895
	L2	0.008	0.054	38.976	0.921	0.927
	XGB	0.008	0.067	48.254	0.930	0.889
	LSTM	0.016 ± 0.005	0.070 ± 0.009	50.641 ± 6.850	0.850 ± 0.041	0.876 ± 0.038
	LSTM_IPIP	0.013 ± 0.001	0.062 ± 0.003	45.005 ± 2.073	0.877 ± 0.013	0.903 ± 0.009
12H	DT	0.234	0.995	717.318	0.163	− 23.566
	GB	0.171	0.359	259.000	0.229	− 2.203
	KNN	0.050	0.202	145.612	0.542	− 0.012
	LR	NC	NC	NC	NC	NC
	RF	0.190	0.500	360.801	0.211	− 5.215
	L2	0.096	0.216	155.375	0.394	− 0.153
	XGB	0.244	0.350	252.534	0.134	− 2.045
	LSTM	0.048 ± 0.004	0.156 ± 0.002	111.842 ± 1.774	0.606 ± 0.024	0.401 ± 0.019
	LSTM_IPIP	0.038 ± 0.004	0.149 ± 0.002	107.033 ± 1.539	0.656 ± 0.022	0.451 ± 0.016
24H	DT	0.116	0.365	263.043	0.323	− 2.300
	GB	0.480	0.975	703.289	0.058	− 22.592
	KNN	0.110	0.342	246.618	0.326	− 1.901
	LR	0.073	0.206	148.654	0.435	− 0.054
	RF	0.313	0.716	516.317	0.110	− 11.716
	L2	0.072	0.206	148.226	0.442	− 0.048
	XGB	0.325	0.368	265.204	0.099	− 2.355
	LSTM	0.050 ± 0.004	0.181 ± 0.002	130.213 ± 1.481	0.567 ± 0.022	0.186 ± 0.019
	LSTM_IPIP	0.043 ± 0.004	0.177 ± 0.001	127.289 ± 1.058	0.587 ± 0.018	0.223 ± 0.013

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