GMS location: 816

Random forest results

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.984	0.118	0.451	0.495	2.234	NaN	NaN
forest	winter 2016	0.995	0.059	0.403	0.473	2.095	0.464	3.435
baseline	winter 2017	0.991	0.056	0.274	0.363	2.848	NaN	NaN
forest	winter 2017	0.983	0.056	0.222	0.348	1.948	0.460	2.676
baseline	winter 2018	0.987	0.042	0.418	0.481	2.069	NaN	NaN
forest	winter 2018	0.987	0.042	0.344	0.444	1.927	0.437	2.340
baseline	winter 2019	0.984	0.048	0.364	0.431	1.940	NaN	NaN
forest	winter 2019	0.984	0.048	0.287	0.380	1.905	0.437	2.315
baseline	all	0.986	0.061	0.384	0.448	2.848	NaN	NaN
forest	all	0.988	0.051	0.322	0.417	2.095	0.451	2.743

names	period	power	significance	meanSquareError	absError	maxError	CRPS	IGN
baseline	winter 2016	0.984	0.118	0.451	0.495	2.234	NaN	NaN
elr	winter 2016	0.984	0.059	0.412	0.487	2.088	0.539	4.015
baseline	winter 2017	0.991	0.056	0.274	0.363	2.848	NaN	NaN
elr	winter 2017	0.983	0.083	0.234	0.371	2.059	0.531	3.173
baseline	winter 2018	0.987	0.042	0.418	0.481	2.069	NaN	NaN
elr	winter 2018	0.987	0.042	0.350	0.451	1.947	0.494	3.219
baseline	winter 2019	0.984	0.048	0.364	0.431	1.940	NaN	NaN
elr	winter 2019	0.976	0.048	0.326	0.412	2.219	0.472	2.658
baseline	all	0.986	0.061	0.384	0.448	2.848	NaN	NaN
elr	all	0.983	0.061	0.338	0.436	2.219	0.511	3.329