GMS location: 923

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.000e+00	0.388	0.447	2.833	NaN	NaN
forest	winter 2016	1.000	0.056	0.315	0.398	2.498	0.444	3.684
baseline	winter 2017	0.974	0.108	0.360	0.428	2.626	NaN	NaN
forest	winter 2017	0.983	0.135	0.251	0.340	2.248	0.433	2.776
baseline	winter 2018	0.987	0.129	0.474	0.483	3.654	NaN	NaN
forest	winter 2018	0.993	0.129	0.413	0.433	3.615	0.433	3.524
baseline	winter 2019	0.993	0.000e+00	0.304	0.406	2.263	NaN	NaN
forest	winter 2019	0.993	0.167	0.177	0.309	1.538	0.413	1.983
baseline	all	0.988	0.082	0.385	0.443	3.654	NaN	NaN
forest	all	0.993	0.122	0.294	0.373	3.615	0.431	3.035

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.000e+00	0.388	0.447	2.833	NaN	NaN
elr	winter 2016	1.000	0.056	0.333	0.431	2.551	0.523	5.609
baseline	winter 2017	0.974	0.108	0.360	0.428	2.626	NaN	NaN
elr	winter 2017	0.983	0.108	0.311	0.402	2.395	0.501	4.938
baseline	winter 2018	0.987	0.129	0.474	0.483	3.654	NaN	NaN
elr	winter 2018	0.987	0.129	0.441	0.453	3.807	0.497	5.324
baseline	winter 2019	0.993	0.000e+00	0.304	0.406	2.263	NaN	NaN
elr	winter 2019	0.993	0.167	0.210	0.361	1.552	0.493	3.833
baseline	all	0.988	0.082	0.385	0.443	3.654	NaN	NaN
elr	all	0.991	0.112	0.327	0.414	3.807	0.504	4.963