GMS location: 416

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.071	0.660	0.503	5.111	NaN	NaN
forest	winter 2016	0.981	0.036	0.614	0.459	5.293	0.461	5.634
baseline	winter 2017	0.991	0.026	0.366	0.431	2.488	NaN	NaN
forest	winter 2017	0.983	0.026	0.281	0.385	1.712	0.447	2.604
baseline	winter 2018	1.000	0.121	0.323	0.433	1.766	NaN	NaN
forest	winter 2018	1.000	0.182	0.256	0.377	1.563	0.463	2.401
baseline	winter 2019	0.986	0.000e+00	0.427	0.466	2.444	NaN	NaN
forest	winter 2019	0.986	0.000e+00	0.337	0.424	1.893	0.476	2.576
baseline	all	0.995	0.061	0.453	0.460	5.111	NaN	NaN
forest	all	0.987	0.070	0.382	0.413	5.293	0.462	3.406

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	1.000	0.071	0.660	0.503	5.111	NaN	NaN
elr	winter 2016	0.981	0.036	0.661	0.485	5.440	0.552	4.815
baseline	winter 2017	0.991	0.026	0.366	0.431	2.488	NaN	NaN
elr	winter 2017	0.947	0.051	0.339	0.440	2.313	0.491	2.049
baseline	winter 2018	1.000	0.121	0.323	0.433	1.766	NaN	NaN
elr	winter 2018	0.993	0.182	0.290	0.410	1.746	0.523	2.166
baseline	winter 2019	0.986	0.000e+00	0.427	0.466	2.444	NaN	NaN
elr	winter 2019	0.993	0.000e+00	0.352	0.444	1.887	0.531	2.228
baseline	all	0.995	0.061	0.453	0.460	5.111	NaN	NaN
elr	all	0.980	0.079	0.421	0.446	5.440	0.526	2.905