GMS location: 352

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.356	0.462	1.630	NaN	NaN
forest	winter 2016	1.000	0.062	0.264	0.385	1.687	0.437	4.850
baseline	winter 2017	0.960	0.037	0.347	0.453	2.529	NaN	NaN
forest	winter 2017	0.984	0.000e+00	0.247	0.372	1.974	0.456	5.796
baseline	winter 2018	0.982	0.000e+00	0.281	0.404	1.765	NaN	NaN
forest	winter 2018	0.982	0.000e+00	0.199	0.330	1.425	0.450	4.489
baseline	winter 2019	0.987	0.000e+00	0.262	0.378	1.586	NaN	NaN
forest	winter 2019	0.993	0.182	0.201	0.340	1.521	0.437	4.344
baseline	all	0.983	0.013	0.315	0.427	2.529	NaN	NaN
forest	all	0.991	0.038	0.231	0.359	1.974	0.444	4.871

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.995	0.000e+00	0.356	0.462	1.630	NaN	NaN
elr	winter 2016	1.000	0.000e+00	0.252	0.393	1.757	0.498	5.234
baseline	winter 2017	0.960	0.037	0.347	0.453	2.529	NaN	NaN
elr	winter 2017	0.976	0.037	0.262	0.391	2.110	0.511	5.845
baseline	winter 2018	0.982	0.000e+00	0.281	0.404	1.765	NaN	NaN
elr	winter 2018	0.982	0.080	0.240	0.393	1.446	0.525	5.299
baseline	winter 2019	0.987	0.000e+00	0.262	0.378	1.586	NaN	NaN
elr	winter 2019	0.980	0.091	0.200	0.342	1.864	0.518	5.159
baseline	all	0.983	0.013	0.315	0.427	2.529	NaN	NaN
elr	all	0.986	0.051	0.239	0.380	2.110	0.512	5.371