GMS location: 423

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.000e+00	0.293	0.414	1.999	NaN	NaN
forest	winter 2016	1.000	0.000e+00	0.236	0.350	1.978	0.455	3.537
baseline	winter 2017	0.972	0.026	0.495	0.504	3.254	NaN	NaN
forest	winter 2017	0.972	0.026	0.336	0.422	2.547	0.431	3.424
baseline	winter 2018	0.977	0.118	0.315	0.399	2.091	NaN	NaN
forest	winter 2018	0.985	0.118	0.288	0.383	1.925	0.432	2.996
baseline	winter 2019	1.000	0.000e+00	0.286	0.378	2.200	NaN	NaN
forest	winter 2019	1.000	0.167	0.261	0.375	2.119	0.436	3.230
baseline	all	0.989	0.048	0.343	0.424	3.254	NaN	NaN
forest	all	0.991	0.057	0.277	0.380	2.547	0.440	3.311

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.000e+00	0.293	0.414	1.999	NaN	NaN
elr	winter 2016	0.994	0.000e+00	0.292	0.418	2.031	0.514	3.765
baseline	winter 2017	0.972	0.026	0.495	0.504	3.254	NaN	NaN
elr	winter 2017	0.962	0.026	0.420	0.480	2.850	0.477	3.793
baseline	winter 2018	0.977	0.118	0.315	0.399	2.091	NaN	NaN
elr	winter 2018	0.977	0.088	0.311	0.411	2.134	0.518	3.865
baseline	winter 2019	1.000	0.000e+00	0.286	0.378	2.200	NaN	NaN
elr	winter 2019	1.000	0.000e+00	0.364	0.458	2.113	0.475	3.366
baseline	all	0.989	0.048	0.343	0.424	3.254	NaN	NaN
elr	all	0.985	0.038	0.340	0.438	2.850	0.499	3.721