GMS location: 364

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.991	0.000e+00	0.289	0.424	1.339	NaN	NaN
forest	winter 2016	0.991	0.000e+00	0.252	0.373	1.560	0.469	4.638
baseline	winter 2017	0.968	0.000e+00	0.303	0.428	2.151	NaN	NaN
forest	winter 2017	0.960	0.000e+00	0.226	0.367	1.647	0.475	4.514
baseline	winter 2018	0.985	0.191	0.356	0.449	2.438	NaN	NaN
forest	winter 2018	0.992	0.191	0.296	0.398	2.280	0.484	5.000
baseline	winter 2019	0.992	0.167	0.240	0.376	1.349	NaN	NaN
forest	winter 2019	0.992	0.167	0.194	0.341	1.215	0.464	3.647
baseline	all	0.984	0.083	0.299	0.420	2.438	NaN	NaN
forest	all	0.984	0.083	0.243	0.370	2.280	0.474	4.464

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.991	0.000e+00	0.289	0.424	1.339	NaN	NaN
elr	winter 2016	0.991	0.000e+00	0.244	0.388	1.362	0.530	5.866
baseline	winter 2017	0.968	0.000e+00	0.303	0.428	2.151	NaN	NaN
elr	winter 2017	0.968	0.000e+00	0.254	0.388	2.191	0.538	5.865
baseline	winter 2018	0.985	0.191	0.356	0.449	2.438	NaN	NaN
elr	winter 2018	0.992	0.143	0.335	0.430	2.210	0.544	7.435
baseline	winter 2019	0.992	0.167	0.240	0.376	1.349	NaN	NaN
elr	winter 2019	0.992	0.167	0.221	0.353	1.635	0.536	5.588
baseline	all	0.984	0.083	0.299	0.420	2.438	NaN	NaN
elr	all	0.986	0.067	0.266	0.391	2.210	0.538	6.227