GMS location: 906

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.979	0.000e+00	0.348	0.444	1.883	NaN	NaN
forest	winter 2016	1.000	0.143	0.215	0.358	1.393	0.410	2.574
baseline	winter 2017	0.954	0.083	0.446	0.501	2.353	NaN	NaN
forest	winter 2017	0.969	0.083	0.277	0.405	1.746	0.420	3.590
baseline	winter 2018	0.987	0.095	0.355	0.460	1.946	NaN	NaN
forest	winter 2018	1.000	0.143	0.302	0.406	2.028	0.429	2.789
baseline	winter 2019	0.977	0.000e+00	0.346	0.446	2.180	NaN	NaN
forest	winter 2019	0.992	0.000e+00	0.233	0.356	1.534	0.421	2.703
baseline	all	0.975	0.058	0.372	0.462	2.353	NaN	NaN
forest	all	0.992	0.101	0.255	0.381	2.028	0.419	2.890

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.979	0.000e+00	0.348	0.444	1.883	NaN	NaN
elr	winter 2016	1.000	0.143	0.250	0.389	1.734	0.458	3.232
baseline	winter 2017	0.954	0.083	0.446	0.501	2.353	NaN	NaN
elr	winter 2017	0.969	0.083	0.312	0.430	1.823	0.456	4.241
baseline	winter 2018	0.987	0.095	0.355	0.460	1.946	NaN	NaN
elr	winter 2018	1.000	0.095	0.312	0.403	1.905	0.488	4.269
baseline	winter 2019	0.977	0.000e+00	0.346	0.446	2.180	NaN	NaN
elr	winter 2019	0.977	0.000e+00	0.240	0.359	1.851	0.474	3.908
baseline	all	0.975	0.058	0.372	0.462	2.353	NaN	NaN
elr	all	0.988	0.087	0.278	0.395	1.905	0.469	3.874