GMS location: 361

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.979	0.000e+00	0.411	0.501	1.742	NaN	NaN
forest	winter 2016	0.989	0.059	0.284	0.416	1.806	0.419	3.344
baseline	winter 2017	0.943	0.033	0.510	0.514	2.554	NaN	NaN
forest	winter 2017	0.976	0.033	0.323	0.419	1.981	0.442	4.195
baseline	winter 2018	0.986	0.111	0.325	0.432	1.913	NaN	NaN
forest	winter 2018	0.993	0.148	0.307	0.403	2.655	0.427	2.801
baseline	winter 2019	0.993	0.000e+00	0.461	0.506	2.171	NaN	NaN
forest	winter 2019	1.000	0.077	0.325	0.443	1.786	0.414	2.829
baseline	all	0.977	0.046	0.423	0.488	2.554	NaN	NaN
forest	all	0.990	0.081	0.308	0.419	2.655	0.425	3.281

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.979	0.000e+00	0.411	0.501	1.742	NaN	NaN
elr	winter 2016	0.989	0.000e+00	0.312	0.450	1.813	0.506	3.143
baseline	winter 2017	0.943	0.033	0.510	0.514	2.554	NaN	NaN
elr	winter 2017	0.984	0.033	0.361	0.436	2.063	0.463	3.021
baseline	winter 2018	0.986	0.111	0.325	0.432	1.913	NaN	NaN
elr	winter 2018	0.979	0.111	0.345	0.429	2.806	0.507	3.469
baseline	winter 2019	0.993	0.000e+00	0.461	0.506	2.171	NaN	NaN
elr	winter 2019	1.000	0.077	0.300	0.428	1.726	0.463	2.849
baseline	all	0.977	0.046	0.423	0.488	2.554	NaN	NaN
elr	all	0.988	0.058	0.329	0.436	2.806	0.487	3.129