GMS location: 1001

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.984	0.000e+00	0.415	0.451	2.514	NaN	NaN
forest	winter 2016	0.978	0.042	0.369	0.431	2.093	0.474	2.693
baseline	winter 2017	0.964	0.062	1.191	0.558	9.933	NaN	NaN
forest	winter 2017	0.982	0.062	1.081	0.522	9.773	0.457	3.271
baseline	winter 2018	0.987	0.133	0.330	0.430	1.832	NaN	NaN
forest	winter 2018	0.987	0.167	0.332	0.421	2.306	0.511	2.451
baseline	winter 2019	1.000	0.000e+00	0.361	0.433	2.214	NaN	NaN
forest	winter 2019	1.000	0.043	0.304	0.397	1.776	0.486	2.166
baseline	all	0.985	0.055	0.542	0.463	9.933	NaN	NaN
forest	all	0.986	0.083	0.492	0.440	9.773	0.483	2.628

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.984	0.000e+00	0.415	0.451	2.514	NaN	NaN
elr	winter 2016	0.978	0.000e+00	0.432	0.485	2.098	0.523	3.251
baseline	winter 2017	0.964	0.062	1.191	0.558	9.933	NaN	NaN
elr	winter 2017	0.964	0.031	1.093	0.545	9.682	0.534	3.573
baseline	winter 2018	0.987	0.133	0.330	0.430	1.832	NaN	NaN
elr	winter 2018	0.993	0.100	0.326	0.421	2.211	0.542	2.677
baseline	winter 2019	1.000	0.000e+00	0.361	0.433	2.214	NaN	NaN
elr	winter 2019	1.000	0.000e+00	0.338	0.423	1.806	0.567	2.961
baseline	all	0.985	0.055	0.542	0.463	9.933	NaN	NaN
elr	all	0.985	0.037	0.520	0.467	9.682	0.540	3.102