GMS location: 500

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.977	0.059	0.300	0.414	1.915	NaN	NaN
forest	winter 2016	0.994	0.059	0.215	0.337	1.828	0.453	5.818
baseline	winter 2017	0.960	0.071	0.356	0.459	2.021	NaN	NaN
forest	winter 2017	0.984	0.071	0.231	0.354	1.572	0.460	4.436
baseline	winter 2018	0.993	0.130	0.289	0.408	1.650	NaN	NaN
forest	winter 2018	0.993	0.130	0.230	0.357	1.768	0.470	4.095
baseline	winter 2019	0.979	0.000e+00	0.255	0.383	1.528	NaN	NaN
forest	winter 2019	0.979	0.000e+00	0.203	0.338	1.584	0.463	4.290
baseline	all	0.978	0.078	0.300	0.416	2.021	NaN	NaN
forest	all	0.988	0.078	0.220	0.346	1.828	0.461	4.713

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.977	0.059	0.300	0.414	1.915	NaN	NaN
elr	winter 2016	1.000	0.059	0.269	0.406	1.757	0.565	7.364
baseline	winter 2017	0.960	0.071	0.356	0.459	2.021	NaN	NaN
elr	winter 2017	0.976	0.107	0.277	0.411	1.770	0.525	6.463
baseline	winter 2018	0.993	0.130	0.289	0.408	1.650	NaN	NaN
elr	winter 2018	0.979	0.130	0.254	0.384	1.650	0.538	7.287
baseline	winter 2019	0.979	0.000e+00	0.255	0.383	1.528	NaN	NaN
elr	winter 2019	0.986	0.000e+00	0.226	0.358	1.619	0.526	5.940
baseline	all	0.978	0.078	0.300	0.416	2.021	NaN	NaN
elr	all	0.986	0.091	0.257	0.391	1.770	0.540	6.812