GMS location: 106

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.042	0.377	0.442	2.287	NaN	NaN
forest	winter 2016	0.989	0.000e+00	0.264	0.375	2.161	0.472	4.304
baseline	winter 2017	0.979	0.097	0.523	0.535	2.740	NaN	NaN
forest	winter 2017	0.989	0.065	0.336	0.418	2.049	0.459	4.169
baseline	winter 2018	0.986	0.125	0.384	0.471	1.963	NaN	NaN
forest	winter 2018	0.979	0.094	0.288	0.387	2.275	0.473	3.599
baseline	winter 2019	0.993	0.000e+00	0.285	0.404	2.203	NaN	NaN
forest	winter 2019	0.993	0.000e+00	0.204	0.338	1.295	0.455	2.953
baseline	all	0.989	0.082	0.384	0.458	2.740	NaN	NaN
forest	all	0.988	0.051	0.270	0.377	2.275	0.466	3.767

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.994	0.042	0.377	0.442	2.287	NaN	NaN
elr	winter 2016	0.994	0.042	0.297	0.422	2.077	0.550	5.539
baseline	winter 2017	0.979	0.097	0.523	0.535	2.740	NaN	NaN
elr	winter 2017	0.979	0.065	0.357	0.436	2.279	0.512	4.691
baseline	winter 2018	0.986	0.125	0.384	0.471	1.963	NaN	NaN
elr	winter 2018	0.993	0.094	0.309	0.428	2.320	0.546	4.464
baseline	winter 2019	0.993	0.000e+00	0.285	0.404	2.203	NaN	NaN
elr	winter 2019	0.993	0.000e+00	0.243	0.383	1.418	0.525	4.667
baseline	all	0.989	0.082	0.384	0.458	2.740	NaN	NaN
elr	all	0.991	0.061	0.298	0.417	2.320	0.536	4.885