GMS location: 417

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.977	0.065	0.466	0.477	3.163	NaN	NaN
forest	winter 2016	0.977	0.032	0.400	0.424	3.247	0.442	3.085
baseline	winter 2017	1.000	0.022	0.366	0.424	2.396	NaN	NaN
forest	winter 2017	1.000	0.022	0.303	0.400	2.001	0.440	2.257
baseline	winter 2018	0.985	0.073	0.509	0.495	3.696	NaN	NaN
forest	winter 2018	0.978	0.122	0.439	0.451	3.516	0.456	2.708
baseline	winter 2019	0.985	0.000e+00	0.332	0.395	2.293	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.254	0.350	1.816	0.444	2.025
baseline	all	0.986	0.044	0.422	0.449	3.696	NaN	NaN
forest	all	0.986	0.051	0.353	0.408	3.516	0.446	2.534

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.977	0.065	0.466	0.477	3.163	NaN	NaN
elr	winter 2016	0.977	0.032	0.397	0.451	3.104	0.506	2.975
baseline	winter 2017	1.000	0.022	0.366	0.424	2.396	NaN	NaN
elr	winter 2017	0.972	0.044	0.385	0.449	2.463	0.505	2.577
baseline	winter 2018	0.985	0.073	0.509	0.495	3.696	NaN	NaN
elr	winter 2018	0.978	0.122	0.450	0.460	3.216	0.532	3.356
baseline	winter 2019	0.985	0.000e+00	0.332	0.395	2.293	NaN	NaN
elr	winter 2019	0.993	0.000e+00	0.290	0.400	2.001	0.482	2.230
baseline	all	0.986	0.044	0.422	0.449	3.696	NaN	NaN
elr	all	0.980	0.059	0.383	0.441	3.216	0.507	2.806