GMS location: 560

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.989	0.000e+00	0.294	0.437	1.524	NaN	NaN
forest	winter 2016	1.000	0.000e+00	0.211	0.350	1.395	0.413	3.093
baseline	winter 2017	0.968	0.036	0.407	0.467	2.503	NaN	NaN
forest	winter 2017	0.984	0.036	0.267	0.384	1.796	0.428	3.236
baseline	winter 2018	0.986	0.038	0.388	0.479	1.715	NaN	NaN
forest	winter 2018	0.993	0.077	0.290	0.388	1.794	0.434	3.481
baseline	winter 2019	0.983	0.000e+00	0.339	0.405	2.194	NaN	NaN
forest	winter 2019	0.983	0.100	0.247	0.373	1.815	0.422	2.748
baseline	all	0.982	0.026	0.353	0.449	2.503	NaN	NaN
forest	all	0.991	0.051	0.252	0.372	1.815	0.424	3.157

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.989	0.000e+00	0.294	0.437	1.524	NaN	NaN
elr	winter 2016	1.000	0.000e+00	0.217	0.381	1.345	0.480	3.795
baseline	winter 2017	0.968	0.036	0.407	0.467	2.503	NaN	NaN
elr	winter 2017	0.984	0.036	0.305	0.411	1.947	0.510	5.753
baseline	winter 2018	0.986	0.038	0.388	0.479	1.715	NaN	NaN
elr	winter 2018	0.986	0.115	0.336	0.432	2.014	0.525	6.489
baseline	winter 2019	0.983	0.000e+00	0.339	0.405	2.194	NaN	NaN
elr	winter 2019	0.983	0.100	0.264	0.398	1.693	0.495	5.188
baseline	all	0.982	0.026	0.353	0.449	2.503	NaN	NaN
elr	all	0.989	0.064	0.277	0.404	2.014	0.501	5.217