GMS location: 359

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.381	0.467	1.974	NaN	NaN
forest	winter 2016	0.995	0.133	0.247	0.382	1.412	0.388	1.491
baseline	winter 2017	0.939	0.118	0.588	0.563	2.720	NaN	NaN
forest	winter 2017	0.969	0.118	0.337	0.440	1.634	0.416	2.053
baseline	winter 2018	0.992	0.000e+00	0.449	0.494	3.437	NaN	NaN
forest	winter 2018	1.000	0.667	0.453	0.471	3.380	0.409	2.218
baseline	winter 2019	0.989	0.000e+00	0.481	0.511	2.099	NaN	NaN
forest	winter 2019	1.000	0.000e+00	0.303	0.416	1.704	0.380	1.442
baseline	all	0.982	0.056	0.458	0.501	3.437	NaN	NaN
forest	all	0.992	0.167	0.325	0.421	3.380	0.397	1.774

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.381	0.467	1.974	NaN	NaN
elr	winter 2016	0.995	0.133	0.254	0.388	1.435	0.440	2.018
baseline	winter 2017	0.939	0.118	0.588	0.563	2.720	NaN	NaN
elr	winter 2017	0.959	0.118	0.374	0.455	1.941	0.468	3.227
baseline	winter 2018	0.992	0.000e+00	0.449	0.494	3.437	NaN	NaN
elr	winter 2018	1.000	0.333	0.461	0.489	3.052	0.497	3.949
baseline	winter 2019	0.989	0.000e+00	0.481	0.511	2.099	NaN	NaN
elr	winter 2019	1.000	0.000e+00	0.328	0.460	1.755	0.443	2.581
baseline	all	0.982	0.056	0.458	0.501	3.437	NaN	NaN
elr	all	0.990	0.139	0.342	0.439	3.052	0.460	2.830