GMS location: 360

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.990	0.000e+00	0.577	0.586	2.144	NaN	NaN
forest	winter 2016	1.000	0.125	0.274	0.402	1.789	0.396	2.761
baseline	winter 2017	0.956	0.069	0.642	0.604	2.958	NaN	NaN
forest	winter 2017	0.982	0.069	0.312	0.423	2.130	0.414	3.224
baseline	winter 2018	0.987	0.182	0.481	0.528	1.848	NaN	NaN
forest	winter 2018	0.994	0.182	0.295	0.412	1.846	0.401	2.252
baseline	winter 2019	0.986	0.000e+00	0.606	0.569	2.548	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.270	0.383	1.587	0.403	2.217
baseline	all	0.982	0.078	0.572	0.570	2.958	NaN	NaN
forest	all	0.993	0.104	0.286	0.405	2.130	0.403	2.601

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.990	0.000e+00	0.577	0.586	2.144	NaN	NaN
elr	winter 2016	0.995	0.125	0.291	0.433	2.003	0.498	3.360
baseline	winter 2017	0.956	0.069	0.642	0.604	2.958	NaN	NaN
elr	winter 2017	0.974	0.000e+00	0.351	0.444	2.114	0.469	3.239
baseline	winter 2018	0.987	0.182	0.481	0.528	1.848	NaN	NaN
elr	winter 2018	0.987	0.182	0.314	0.418	2.313	0.509	3.779
baseline	winter 2019	0.986	0.000e+00	0.606	0.569	2.548	NaN	NaN
elr	winter 2019	0.986	0.000e+00	0.275	0.384	2.020	0.487	3.245
baseline	all	0.982	0.078	0.572	0.570	2.958	NaN	NaN
elr	all	0.987	0.078	0.306	0.420	2.313	0.492	3.418