GMS location: 1436

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.111	0.362	0.426	2.801	NaN	NaN
forest	winter 2016	0.970	0.111	0.324	0.401	2.585	0.566	2.106
baseline	winter 2017	0.990	0.000e+00	0.442	0.492	2.399	NaN	NaN
forest	winter 2017	0.971	0.000e+00	0.395	0.454	1.976	0.553	1.983
baseline	winter 2018	1.000	0.106	0.514	0.506	2.479	NaN	NaN
forest	winter 2018	0.983	0.043	0.415	0.471	2.251	0.559	2.135
baseline	winter 2019	0.993	0.125	0.608	0.499	3.896	NaN	NaN
forest	winter 2019	0.985	0.125	0.552	0.472	3.961	0.591	3.165
baseline	all	0.994	0.072	0.475	0.478	3.896	NaN	NaN
forest	all	0.977	0.050	0.415	0.447	3.961	0.567	2.328

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.111	0.362	0.426	2.801	NaN	NaN
elr	winter 2016	0.957	0.037	0.326	0.419	2.422	0.677	3.789
baseline	winter 2017	0.990	0.000e+00	0.442	0.492	2.399	NaN	NaN
elr	winter 2017	0.961	0.000e+00	0.399	0.464	2.195	0.648	3.752
baseline	winter 2018	1.000	0.106	0.514	0.506	2.479	NaN	NaN
elr	winter 2018	0.975	0.064	0.410	0.477	1.915	0.678	4.182
baseline	winter 2019	0.993	0.125	0.608	0.499	3.896	NaN	NaN
elr	winter 2019	0.993	0.125	0.555	0.479	3.985	0.663	4.646
baseline	all	0.994	0.072	0.475	0.478	3.896	NaN	NaN
elr	all	0.971	0.043	0.416	0.458	3.985	0.667	4.077