GMS location: 839

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.977	0.053	0.396	0.457	2.506	NaN	NaN
forest	winter 2016	0.994	0.000e+00	0.340	0.415	2.193	0.452	2.895
baseline	winter 2017	0.991	0.057	0.315	0.391	3.176	NaN	NaN
forest	winter 2017	0.983	0.029	0.270	0.361	2.227	0.452	2.429
baseline	winter 2018	0.980	0.000e+00	0.431	0.495	2.322	NaN	NaN
forest	winter 2018	0.974	0.045	0.352	0.446	2.292	0.455	2.694
baseline	winter 2019	0.967	0.000e+00	0.321	0.395	1.883	NaN	NaN
forest	winter 2019	0.983	0.056	0.245	0.345	2.022	0.442	2.419
baseline	all	0.979	0.032	0.371	0.439	3.176	NaN	NaN
forest	all	0.984	0.032	0.307	0.396	2.292	0.450	2.636

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.977	0.053	0.396	0.457	2.506	NaN	NaN
elr	winter 2016	0.989	0.053	0.350	0.444	1.914	0.534	3.789
baseline	winter 2017	0.991	0.057	0.315	0.391	3.176	NaN	NaN
elr	winter 2017	0.983	0.029	0.271	0.373	2.009	0.518	3.291
baseline	winter 2018	0.980	0.000e+00	0.431	0.495	2.322	NaN	NaN
elr	winter 2018	0.980	0.045	0.346	0.447	2.236	0.522	4.024
baseline	winter 2019	0.967	0.000e+00	0.321	0.395	1.883	NaN	NaN
elr	winter 2019	0.983	0.000e+00	0.236	0.368	1.492	0.513	3.344
baseline	all	0.979	0.032	0.371	0.439	3.176	NaN	NaN
elr	all	0.984	0.032	0.307	0.412	2.236	0.523	3.645