GMS location: 909

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.979	0.000e+00	0.338	0.450	1.669	NaN	NaN
forest	winter 2016	0.984	0.091	0.210	0.363	1.281	0.403	3.356
baseline	winter 2017	0.952	0.000e+00	0.415	0.506	1.794	NaN	NaN
forest	winter 2017	0.960	0.040	0.257	0.399	1.373	0.408	4.553
baseline	winter 2018	0.991	0.071	0.356	0.454	1.903	NaN	NaN
forest	winter 2018	1.000	0.071	0.300	0.404	1.910	0.396	2.955
baseline	winter 2019	0.992	0.000e+00	0.278	0.383	1.654	NaN	NaN
forest	winter 2019	0.992	0.000e+00	0.212	0.341	1.821	0.405	2.836
baseline	all	0.978	0.018	0.348	0.450	1.903	NaN	NaN
forest	all	0.983	0.053	0.240	0.375	1.910	0.403	3.465

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.979	0.000e+00	0.338	0.450	1.669	NaN	NaN
elr	winter 2016	0.973	0.000e+00	0.264	0.407	1.817	0.506	4.886
baseline	winter 2017	0.952	0.000e+00	0.415	0.506	1.794	NaN	NaN
elr	winter 2017	0.960	0.000e+00	0.310	0.426	1.625	0.461	4.371
baseline	winter 2018	0.991	0.071	0.356	0.454	1.903	NaN	NaN
elr	winter 2018	1.000	0.000e+00	0.313	0.401	1.774	0.463	4.314
baseline	winter 2019	0.992	0.000e+00	0.278	0.383	1.654	NaN	NaN
elr	winter 2019	0.992	0.000e+00	0.245	0.351	1.962	0.460	3.949
baseline	all	0.978	0.018	0.348	0.450	1.903	NaN	NaN
elr	all	0.980	0.000e+00	0.281	0.398	1.962	0.476	4.438