GMS location: 109

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.982	0.042	0.293	0.400	2.072	NaN	NaN
forest	winter 2016	0.988	0.042	0.246	0.353	2.106	0.453	3.644
baseline	winter 2017	0.982	0.023	0.466	0.494	2.007	NaN	NaN
forest	winter 2017	0.991	0.046	0.324	0.408	1.760	0.450	2.872
baseline	winter 2018	0.987	0.077	0.333	0.428	2.602	NaN	NaN
forest	winter 2018	0.993	0.077	0.249	0.357	2.470	0.448	3.529
baseline	winter 2019	0.979	0.067	0.368	0.444	1.968	NaN	NaN
forest	winter 2019	1.000	0.067	0.258	0.385	1.385	0.434	2.779
baseline	all	0.982	0.046	0.360	0.439	2.602	NaN	NaN
forest	all	0.993	0.056	0.267	0.374	2.470	0.447	3.237

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.982	0.042	0.293	0.400	2.072	NaN	NaN
elr	winter 2016	0.982	0.042	0.266	0.388	1.782	0.506	3.824
baseline	winter 2017	0.982	0.023	0.466	0.494	2.007	NaN	NaN
elr	winter 2017	0.973	0.023	0.386	0.447	1.831	0.492	4.066
baseline	winter 2018	0.987	0.077	0.333	0.428	2.602	NaN	NaN
elr	winter 2018	0.980	0.038	0.265	0.375	2.337	0.506	3.627
baseline	winter 2019	0.979	0.067	0.368	0.444	1.968	NaN	NaN
elr	winter 2019	1.000	0.067	0.323	0.446	1.690	0.478	3.608
baseline	all	0.982	0.046	0.360	0.439	2.602	NaN	NaN
elr	all	0.984	0.037	0.306	0.411	2.337	0.496	3.777