GMS location: 900

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.087	0.471	0.465	5.025	NaN	NaN
forest	winter 2016	0.994	0.130	0.384	0.392	5.122	0.512	5.474
baseline	winter 2017	0.982	0.048	0.363	0.450	2.404	NaN	NaN
forest	winter 2017	0.973	0.000e+00	0.276	0.381	2.122	0.490	4.575
baseline	winter 2018	0.980	0.067	0.330	0.431	2.197	NaN	NaN
forest	winter 2018	0.987	0.033	0.278	0.395	2.043	0.509	4.279
baseline	winter 2019	0.986	0.000e+00	0.294	0.400	2.236	NaN	NaN
forest	winter 2019	0.979	0.000e+00	0.218	0.332	2.539	0.518	3.682
baseline	all	0.986	0.055	0.369	0.438	5.025	NaN	NaN
forest	all	0.984	0.037	0.294	0.376	5.122	0.507	4.546

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.087	0.471	0.465	5.025	NaN	NaN
elr	winter 2016	0.994	0.217	0.432	0.447	4.694	0.611	7.947
baseline	winter 2017	0.982	0.048	0.363	0.450	2.404	NaN	NaN
elr	winter 2017	0.973	0.024	0.293	0.408	2.060	0.565	4.568
baseline	winter 2018	0.980	0.067	0.330	0.431	2.197	NaN	NaN
elr	winter 2018	0.993	0.000e+00	0.291	0.401	2.131	0.565	4.410
baseline	winter 2019	0.986	0.000e+00	0.294	0.400	2.236	NaN	NaN
elr	winter 2019	0.979	0.000e+00	0.244	0.368	2.524	0.537	3.461
baseline	all	0.986	0.055	0.369	0.438	5.025	NaN	NaN
elr	all	0.986	0.055	0.320	0.408	4.694	0.572	5.229