GMS location: 904

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.983	0.000e+00	0.364	0.470	1.947	NaN	NaN
forest	winter 2016	0.994	0.056	0.206	0.358	1.490	0.418	3.350
baseline	winter 2017	0.966	0.069	0.375	0.464	2.372	NaN	NaN
forest	winter 2017	0.983	0.035	0.209	0.342	1.848	0.426	2.803
baseline	winter 2018	0.968	0.160	0.455	0.486	3.034	NaN	NaN
forest	winter 2018	0.975	0.160	0.382	0.431	3.052	0.427	4.538
baseline	winter 2019	0.991	0.000e+00	0.304	0.415	1.754	NaN	NaN
forest	winter 2019	0.991	0.143	0.174	0.314	1.187	0.420	2.772
baseline	all	0.977	0.070	0.381	0.463	3.034	NaN	NaN
forest	all	0.986	0.093	0.251	0.367	3.052	0.423	3.452

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.983	0.000e+00	0.364	0.470	1.947	NaN	NaN
elr	winter 2016	0.994	0.000e+00	0.261	0.393	1.761	0.485	3.577
baseline	winter 2017	0.966	0.069	0.375	0.464	2.372	NaN	NaN
elr	winter 2017	1.000	0.035	0.235	0.370	1.756	0.488	3.669
baseline	winter 2018	0.968	0.160	0.455	0.486	3.034	NaN	NaN
elr	winter 2018	0.975	0.160	0.417	0.449	3.345	0.506	6.611
baseline	winter 2019	0.991	0.000e+00	0.304	0.415	1.754	NaN	NaN
elr	winter 2019	0.991	0.143	0.201	0.337	1.581	0.481	3.889
baseline	all	0.977	0.070	0.381	0.463	3.034	NaN	NaN
elr	all	0.989	0.081	0.288	0.393	3.345	0.491	4.517