GMS location: 472

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.988	0.077	0.366	0.457	1.590	NaN	NaN
forest	winter 2016	0.982	0.115	0.303	0.415	1.483	0.473	4.789
baseline	winter 2017	0.973	0.000e+00	0.430	0.471	2.384	NaN	NaN
forest	winter 2017	0.955	0.000e+00	0.326	0.413	1.715	0.480	5.691
baseline	winter 2018	0.993	0.158	0.259	0.374	2.134	NaN	NaN
forest	winter 2018	0.993	0.132	0.237	0.372	1.916	0.481	3.737
baseline	winter 2019	0.980	0.000e+00	0.248	0.371	1.704	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.181	0.322	1.320	0.461	3.759
baseline	all	0.984	0.067	0.324	0.418	2.384	NaN	NaN
forest	all	0.982	0.067	0.262	0.381	1.916	0.474	4.463

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.988	0.077	0.366	0.457	1.590	NaN	NaN
elr	winter 2016	0.969	0.115	0.316	0.433	1.820	0.546	5.377
baseline	winter 2017	0.973	0.000e+00	0.430	0.471	2.384	NaN	NaN
elr	winter 2017	0.955	0.000e+00	0.344	0.430	1.990	0.532	5.378
baseline	winter 2018	0.993	0.158	0.259	0.374	2.134	NaN	NaN
elr	winter 2018	0.993	0.158	0.262	0.398	1.895	0.562	4.724
baseline	winter 2019	0.980	0.000e+00	0.248	0.371	1.704	NaN	NaN
elr	winter 2019	0.993	0.000e+00	0.204	0.350	1.310	0.504	3.588
baseline	all	0.984	0.067	0.324	0.418	2.384	NaN	NaN
elr	all	0.979	0.075	0.281	0.403	1.990	0.537	4.777