GMS location: 836

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.976	0.043	0.281	0.405	1.623	NaN	NaN
forest	winter 2016	0.976	0.130	0.238	0.365	1.484	0.466	2.977
baseline	winter 2017	0.980	0.050	0.413	0.460	2.364	NaN	NaN
forest	winter 2017	0.971	0.050	0.345	0.424	2.169	0.456	3.189
baseline	winter 2018	0.987	0.088	0.463	0.504	2.403	NaN	NaN
forest	winter 2018	0.993	0.088	0.369	0.439	2.191	0.450	3.299
baseline	winter 2019	0.986	0.000e+00	0.355	0.415	2.967	NaN	NaN
forest	winter 2019	0.986	0.042	0.269	0.371	2.388	0.425	2.169
baseline	all	0.982	0.050	0.376	0.446	2.967	NaN	NaN
forest	all	0.982	0.074	0.304	0.399	2.388	0.450	2.915

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.976	0.043	0.281	0.405	1.623	NaN	NaN
elr	winter 2016	0.969	0.043	0.255	0.384	1.782	0.528	3.805
baseline	winter 2017	0.980	0.050	0.413	0.460	2.364	NaN	NaN
elr	winter 2017	0.971	0.025	0.346	0.442	2.003	0.538	4.601
baseline	winter 2018	0.987	0.088	0.463	0.504	2.403	NaN	NaN
elr	winter 2018	0.993	0.088	0.359	0.440	1.964	0.492	3.949
baseline	winter 2019	0.986	0.000e+00	0.355	0.415	2.967	NaN	NaN
elr	winter 2019	0.986	0.042	0.270	0.389	1.858	0.457	2.900
baseline	all	0.982	0.050	0.376	0.446	2.967	NaN	NaN
elr	all	0.980	0.050	0.306	0.412	2.003	0.503	3.794